Ali Farhadi

317 papers A* 100A 3B 3Misc 2Journal 165Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos.
CoRR
Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu, Ali Farhadi, Shenlong Wang, Wei-Chiu Ma
2026 J jnl
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding.
CoRR
Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna
2026 J jnl
MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation.
CoRR
Abhay Deshpande, Maya Guru, Rose Hendrix, Snehal Jauhri, Ainaz Eftekhar, Rohun Tripathi, Max Argus, Jordi Salvador, Haoquan Fang, Matthew Wallingford, Wilbert Pumacay, Yejin Kim, Quinn Pfeifer, Ying-Chun Lee, Piper Wolters, Omar Rayyan, Mingtong Zhang, Jiafei Duan, Karen Farley, Winson Han, Eli VanderBilt, Dieter Fox, Ali Farhadi, Georgia Chalvatzaki, Dhruv Shah, Ranjay Krishna
2026 J jnl
MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation.
CoRR
Yejin Kim, Wilbert Pumacay, Omar Rayyan, Max Argus, Winson Han, Eli VanderBilt, Jordi Salvador, Abhay Deshpande, Rose Hendrix, Snehal Jauhri, Shuo Liu, Nur Muhammad (Mahi) Shafiullah, Maya Guru, Ainaz Eftekhar, Karen Farley, Donovan Clay, Jiafei Duan, Arjun Guru, Piper Wolters, Alvaro Herrasti, Ying-Chun Lee, Georgia Chalvatzaki, Yuchen Cui, Ali Farhadi, Dieter Fox, Ranjay Krishna
2026 J jnl
ObjectForesight: Predicting Future 3D Object Trajectories from Human Videos.
CoRR
Rustin Soraki, Homanga Bharadhwaj, Ali Farhadi, Roozbeh Mottaghi
2026 J jnl
SERA: Soft-Verified Efficient Repository Agents.
CoRR
Ethan Shen, Danny Tormoen, Saurabh Shah, Ali Farhadi, Tim Dettmers
2025 J jnl
2 OLMo 2 Furious.
CoRR
Team OLMo, Pete Walsh, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Shane Arora, Akshita Bhagia, Yuling Gu, Shengyi Huang, Matt Jordan, Nathan Lambert, Dustin Schwenk, Oyvind Tafjord, Taira Anderson, David Atkinson, Faeze Brahman, Christopher Clark, Pradeep Dasigi, Nouha Dziri, Michal Guerquin, Hamish Ivison, Pang Wei Koh, Jiacheng Liu, Saumya Malik, William Merrill, Lester James V. Miranda, Jacob Morrison, Tyler Murray, Crystal Nam, Valentina Pyatkin, Aman Rangapur, Michael Schmitz, Sam Skjonsberg, David Wadden, Christopher Wilhelm, Michael Wilson, Luke Zettlemoyer, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
Beyond the Frame: Generating 360° Panoramic Videos from Perspective Videos.
CoRR
Rundong Luo, Matthew Wallingford, Ali Farhadi, Noah Snavely, Wei-Chiu Ma
2025 J jnl
Contrastive Flow Matching.
CoRR
George Stoica, Vivek Ramanujan, Xiang Fan, Ali Farhadi, Ranjay Krishna, Judy Hoffman
2025 J jnl
Convergent Functions, Divergent Forms.
CoRR
Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman, Kuo-Hao Zeng, Ali Farhadi, Ranjay Krishna
2025 A* conf
DRAWER: Digital Reconstruction and Articulation With Environment Realism.
CVPR
Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma
2025 J jnl
DRAWER: Digital Reconstruction and Articulation With Environment Realism.
CoRR
Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma
2025 A* conf
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation.
CVPR
Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma
2025 J jnl
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation.
CoRR
Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma
2025 A* conf
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
ICRA
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martín-Martín, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2025 J jnl
FlexOlmo: Open Language Models for Flexible Data Use.
CoRR
Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min
2025 J jnl
Load Balancing Mixture of Experts with Similarity Preserving Routers.
CoRR
Nabil Omi, Siddhartha Sen, Ali Farhadi
2025 A* conf
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.
CVPR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2025 J jnl
MolmoAct: Action Reasoning Models that can Reason in Space.
CoRR
Jason Lee, Jiafei Duan, Haoquan Fang, Yuquan Deng, Shuo Liu, Boyang Li, Bohan Fang, Jieyu Zhang, Yi Ru Wang, Sangho Lee, Winson Han, Wilbert Pumacay, Angelica Wu, Rose Hendrix, Karen Farley, Eli VanderBilt, Ali Farhadi, Dieter Fox, Ranjay Krishna
2025 J jnl
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use.
CoRR
Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta
2025 A* conf
OLMoE: Open Mixture-of-Experts Language Models.
ICLR
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al.
2025 — conf
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.
ACL (3)
Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge
2025 J jnl
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.
CoRR
Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Sruthi Sreeram, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge
2025 J jnl
Olmo 3.
CoRR
Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation.
CoRR
Henry Herzog, Favyen Bastani, Yawen Zhang, Gabriel Tseng, Joseph Redmon, Hadrien Sablon, Ryan Park, Jacob Morrison, Alexandra Buraczynski, Karen Farley, Joshua Hansen, Andrew Howe, Patrick Alan Johnson, Mark Otterlee, Ted Schmitt, Hunter Pitelka, Stephen Daspit, Rachel Ratner, Christopher Wilhelm, Sebastian Wood, Mike Jacobi, Hannah Kerner, Evan Shelhamer, Ali Farhadi, Ranjay Krishna, Patrick Beukema
2025 A* conf
Synthetic Visual Genome.
CVPR
Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna
2025 J jnl
Synthetic Visual Genome.
CoRR
Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna
2024 A* conf
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.
NeurIPS
Mohammadreza Salehi, Jae Sung Park, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hanna Hajishirzi, Ali Farhadi
2024 J jnl
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition.
CoRR
Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi
2024 J jnl
Bytes Are All You Need: Transformers Operating Directly On File Bytes.
Trans. Mach. Learn. Res.
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
2024 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
Trans. Mach. Learn. Res.
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024 J jnl
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning.
CoRR
Jiaheng Hu, Rose Hendrix, Ali Farhadi, Aniruddha Kembhavi, Roberto Martin Martin, Peter Stone, Kuo-Hao Zeng, Kiana Ehsani
2024 J jnl
From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos.
CoRR
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham M. Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 A* conf
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos.
NeurIPS
Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024 — conf
Learning to Build by Building Your Own Instructions.
ECCV (89)
Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox
2024 J jnl
Learning to Build by Building Your Own Instructions.
CoRR
Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox
2024 A* conf
MatFormer: Nested Transformer for Elastic Inference.
NeurIPS
Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hanna Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
2024 J jnl
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.
CoRR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2024 J jnl
OLMoE: Open Mixture-of-Experts Language Models.
CoRR
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi
2024 A* conf
Selective Visual Representations Improve Convergence and Generalization for Embodied AI.
ICLR
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 A* conf
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass.
NeurIPS
Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2024 J jnl
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass.
CoRR
Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2024 A* conf
Task Me Anything.
NeurIPS
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 J jnl
Task Me Anything.
CoRR
Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2024 J jnl
The One RING: a Robotic Indoor Navigation Generalist.
CoRR
Ainaz Eftekhar, Luca Weihs, Rose Hendrix, Ege Caglar, Jordi Salvador, Alvaro Herrasti, Winson Han, Eli VanderBilt, Aniruddha Kembhavi, Ali Farhadi, Ranjay Krishna, Kiana Ehsani, Kuo-Hao Zeng
2024 J jnl
When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization.
CoRR
Vivek Ramanujan, Kushal Tirumala, Armen Aghajanyan, Luke Zettlemoyer, Ali Farhadi
2023 A* conf
AdANNS: A Framework for Adaptive Semantic Search.
NeurIPS
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
2023 J jnl
AdANNS: A Framework for Adaptive Semantic Search.
CoRR
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
2023 J jnl
Are "Hierarchical" Visual Representations Hierarchical?
CoRR
Ethan Shen, Ali Farhadi, Aditya Kusupati
2023 J jnl
Bytes Are All You Need: Transformers Operating Directly On File Bytes.
CoRR
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
2023 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
CoRR
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023 A* conf
DataComp: In search of the next generation of multimodal datasets.
NeurIPS
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023 J jnl
DataComp: In search of the next generation of multimodal datasets.
CoRR
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023 A* conf
Editing models with task arithmetic.
ICLR
Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
2023 J jnl
FLUID: A Unified Evaluation Framework for Flexible Sequential Data.
Trans. Mach. Learn. Res.
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2023 A* conf
FastFill: Efficient Compatible Model Update.
ICLR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 J jnl
FastFill: Efficient Compatible Model Update.
CoRR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 A* conf
Impossibly Good Experts and How to Follow Them.
ICLR
Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi
2023 A* conf
Localized Symbolic Knowledge Distillation for Visual Commonsense Models.
NeurIPS
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023 J jnl
Localized Symbolic Knowledge Distillation for Visual Commonsense Models.
CoRR
Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
2023 J jnl
MatFormer: Nested Transformer for Elastic Inference.
CoRR
Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
2023 A* conf
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics.
ICLR
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
2023 J jnl
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics.
CoRR
Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
2023 A* conf
Neural Priming for Sample-Efficient Adaptation.
NeurIPS
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023 J jnl
Neural Priming for Sample-Efficient Adaptation.
CoRR
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023 A* conf
Neural Radiance Field Codebooks.
ICLR
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023 J jnl
Neural Radiance Field Codebooks.
CoRR
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023 A* conf
Objaverse-XL: A Universe of 10M+ 3D Objects.
NeurIPS
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023 J jnl
Objaverse-XL: A Universe of 10M+ 3D Objects.
CoRR
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023 A* conf
Objaverse: A Universe of Annotated 3D Objects.
CVPR
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
2023 A* conf
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness.
NeurIPS
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
2023 J jnl
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness.
CoRR
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ludwig Schmidt, Ali Farhadi
2023 A* conf
Phone2Proc: Bringing Robust Robots into Our Chaotic World.
CVPR
Matt Deitke, Rose Hendrix, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
2023 A* conf
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
ICCV
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
CoRR
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 — conf
SAFER: Safe Collision Avoidance Using Focused and Efficient Trajectory Search with Reinforcement Learning.
CASE
Mario Srouji, Hugues Thomas, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang
2023 — conf
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks.
EMNLP (Findings)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
2023 J jnl
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks.
CoRR
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
2023 J jnl
Selective Visual Representations Improve Convergence and Generalization for Embodied AI.
CoRR
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
2023 A conf
Self-Supervised Object Goal Navigation with In-Situ Finetuning.
IROS
So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang
2023 A* conf
Stable and low-precision training for large-scale vision-language models.
NeurIPS
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
2023 J jnl
Stable and low-precision training for large-scale vision-language models.
CoRR
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer, Ari Morcos, Ali Farhadi, Ludwig Schmidt
2023 A* conf
What does a platypus look like? Generating customized prompts for zero-shot image classification.
ICCV
Sarah M. Pratt, Ian Covert, Rosanne Liu, Ali Farhadi
2023 J jnl
lo-fi: distributed fine-tuning without communication.
Trans. Mach. Learn. Res.
Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2022 — conf
Break and Make: Interactive Structural Understanding Using LEGO Bricks.
ECCV (28)
Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox
2022 J jnl
Break and Make: Interactive Structural Understanding Using LEGO Bricks.
CoRR
Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox
2022 J jnl
Editing Models with Task Arithmetic.
CoRR
Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
2022 — conf
Exposing the Limits of Video-Text Models through Contrast Sets.
NAACL-HLT
Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach
2022 A* conf
Forward Compatible Training for Large-Scale Embedding Retrieval Systems.
CVPR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2022 B conf
Layer-Wise Data-Free CNN Compression.
ICPR
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
2022 A* conf
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
CVPR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 J jnl
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound.
CoRR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 A* conf
Matryoshka Representation Learning.
NeurIPS
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2022 J jnl
Matryoshka Representations for Adaptive Deployment.
CoRR
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2022 A* conf
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.
ICML
Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
2022 J jnl
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.
CoRR
Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, Rebecca Roelofs, Raphael Gontijo Lopes, Ari S. Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, Ludwig Schmidt
2022 J jnl
Objaverse: A Universe of Annotated 3D Objects.
CoRR
Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi
2022 J jnl
Object Goal Navigation with End-to-End Self-Supervision.
CoRR
So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang
2022 — conf
Object Manipulation via Visual Target Localization.
ECCV (39)
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
Object Manipulation via Visual Target Localization.
CoRR
Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 A* conf
Patching open-vocabulary models by interpolating weights.
NeurIPS
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
2022 J jnl
Patching open-vocabulary models by interpolating weights.
CoRR
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt
2022 J jnl
Phone2Proc: Bringing Robust Robots Into Our Chaotic World.
CoRR
Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi
2022 J jnl
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation.
CoRR
Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi
2022 J jnl
RangeAugment: Efficient Online Augmentation with Range Learning.
CoRR
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
2022 J jnl
Retrospectives on the Embodied AI Workshop.
CoRR
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
2022 A* conf
Robust fine-tuning of zero-shot models.
CVPR
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
2022 J jnl
Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance.
CoRR
Mario Srouji, Wei Ding, Yao-Hung Hubert Tsai, Ali Farhadi, Jian Zhang
2022 J jnl
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents.
CoRR
Sarah M. Pratt, Luca Weihs, Ali Farhadi
2022 J jnl
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents.
CoRR
Yao-Hung Hubert Tsai, Hanlin Goh, Ali Farhadi, Jian Zhang
2022 J jnl
What does a platypus look like? Generating customized prompts for zero-shot image classification.
CoRR
Sarah M. Pratt, Rosanne Liu, Ali Farhadi
2022 J jnl
lo-fi: distributed fine-tuning without communication.
CoRR
Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael G. Rabbat, Ari S. Morcos
2021 J jnl
Forward Compatible Training for Representation Learning.
CoRR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2021 — conf
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
EMNLP (1)
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
2021 J jnl
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
CoRR
Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi
2021 J jnl
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time.
CoRR
Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari
2021 A* conf
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes.
NeurIPS
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021 J jnl
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes.
CoRR
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021 Misc conf
LanguageRefer: Spatial-Language Model for 3D Visual Grounding.
CoRL
Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox
2021 J jnl
LanguageRefer: Spatial-Language Model for 3D Visual Grounding.
CoRR
Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox
2021 A* conf
Learning Generalizable Visual Representations via Interactive Gameplay.
ICLR
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
2021 A* conf
Learning Neural Network Subspaces.
ICML
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2021 J jnl
Learning Neural Network Subspaces.
CoRR
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2021 A* conf
MERLOT: Multimodal Neural Script Knowledge Models.
NeurIPS
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 J jnl
MERLOT: Multimodal Neural Script Knowledge Models.
CoRR
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 — conf
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
ACL/IJCNLP (1)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 J jnl
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
CoRR
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 — conf
Probing Contextual Language Models for Common Ground with Visual Representations.
NAACL-HLT
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
2021 A* conf
Pushing It Out of the Way: Interactive Visual Navigation.
CVPR
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi
2021 J jnl
Pushing it out of the Way: Interactive Visual Navigation.
CoRR
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi
2021 J jnl
Robust fine-tuning of zero-shot models.
CoRR
Mitchell Wortsman, Gabriel Ilharco, Mike Li, Jong Wook Kim, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt
2021 J jnl
Spectral acceleration prediction using genetic programming based approaches.
Appl. Soft Comput.
Mostafa Gandomi, Ali R. Kashani, Ali Farhadi, Mohsen Akhani, Amir H. Gandomi
2021 — conf
TuringAdvice: A Generative and Dynamic Evaluation of Language Use.
NAACL-HLT
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2021 A* conf
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions.
ICLR
Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi
2020 J jnl
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 — conf
A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks.
ECCV (5)
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander G. Schwing
2020 A* conf
Butterfly Transform: An Efficient FFT Based Neural Architecture Design.
CVPR
Keivan Alizadeh-Vahid, Anish Prabhu, Ali Farhadi, Mohammad Rastegari
2020 J jnl
Enabling AI at the edge with XNOR-networks.
Commun. ACM
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2020 J jnl
Evaluating Machines by their Real-World Language Use.
CoRR
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2020 J jnl
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.
CoRR
Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith
2020 — conf
Grounded Situation Recognition.
ECCV (4)
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 J jnl
Grounded Situation Recognition.
CoRR
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 J jnl
In the Wild: From ML Models to Pragmatic ML Systems.
CoRR
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2020 J jnl
Layer-Wise Data-Free CNN Compression.
CoRR
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
2020 J jnl
Probing Text Models for Common Ground with Visual Representations.
CoRR
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
2020 A* conf
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CVPR
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020 J jnl
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CoRR
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
2020 A* conf
Soft Threshold Weight Reparameterization for Learnable Sparsity.
ICML
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2020 J jnl
Soft Threshold Weight Reparameterization for Learnable Sparsity.
CoRR
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2020 A* conf
Supermasks in Superposition.
NeurIPS
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020 J jnl
Supermasks in Superposition.
CoRR
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu, Aniruddha Kembhavi, Mohammad Rastegari, Jason Yosinski, Ali Farhadi
2020 A* conf
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects.
CVPR
Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
2020 J jnl
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects.
CoRR
Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta
2020 J jnl
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image.
CoRR
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
2020 A* conf
Visual Reaction: Learning to Play Catch With Your Drone.
CVPR
Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi
2020 — conf
VisualCOMET: Reasoning About the Dynamic Context of a Still Image.
ECCV (5)
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi
2020 J jnl
Watching the World Go By: Representation Learning from Unlabeled Videos.
CoRR
Daniel Gordon, Kiana Ehsani, Dieter Fox, Ali Farhadi
2020 J jnl
What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions.
CoRR
Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen, Roozbeh Mottaghi, Ali Farhadi
2020 A* conf
What's Hidden in a Randomly Weighted Neural Network?
CVPR
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2019 J jnl
Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game.
CoRR
Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
2019 J jnl
Butterfly Transform: An Efficient FFT Based Neural Architecture Design.
CoRR
Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari
2019 Misc conf
Conditional Driving from Natural Language Instructions.
CoRL
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
2019 J jnl
Conditional Driving from Natural Language Instructions.
CoRR
Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox
2019 A* conf
Defending Against Neural Fake News.
NeurIPS
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019 J jnl
Defending Against Neural Fake News.
CoRR
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019 A* conf
Discovering Neural Wirings.
NeurIPS
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
2019 J jnl
Discovering Neural Wirings.
CoRR
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
2019 A* conf
ELASTIC: Improving CNNs With Dynamic Scaling Policies.
CVPR
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2019 A* conf
From Recognition to Cognition: Visual Commonsense Reasoning.
CVPR
Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 — conf
HellaSwag: Can a Machine Really Finish Your Sentence?
ACL (1)
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 J jnl
HellaSwag: Can a Machine Really Finish Your Sentence?
CoRR
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 A* conf
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning.
CVPR
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019 A* conf
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge.
CVPR
Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019 J jnl
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge.
CoRR
Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2019 — conf
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.
ACL (1)
Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
2019 J jnl
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.
CoRR
Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
2019 A* conf
Two Body Problem: Collaborative Visual Task Completion.
CVPR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 J jnl
Two Body Problem: Collaborative Visual Task Completion.
CoRR
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander G. Schwing, Aniruddha Kembhavi
2019 A* conf
Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph.
CVPR
Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
2019 J jnl
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph.
CoRR
Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
2019 J jnl
Visual Reaction: Learning to Play Catch with Your Drone.
CoRR
Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi
2019 — conf
Visual Semantic Navigation using Scene Priors.
ICLR (Poster)
Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi
2019 J jnl
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning.
CoRR
Daniel Gordon, Dieter Fox, Ali Farhadi
2019 J jnl
What's Hidden in a Randomly Weighted Neural Network?
CoRR
Vivek Ramanujan, Mitchell Wortsman, Aniruddha Kembhavi, Ali Farhadi, Mohammad Rastegari
2018 A* conf
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video.
AAAI
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2018 A* conf
Actor and Observer: Joint Modeling of First and Third-Person Videos.
CVPR
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari
2018 J jnl
Actor and Observer: Joint Modeling of First and Third-Person Videos.
CoRR
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari
2018 J jnl
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos.
CoRR
Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari
2018 — conf
DOCK: Detecting Objects by Transferring Common-Sense Knowledge.
ECCV (13)
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018 J jnl
ELASTIC: Improving CNNs with Instance Specific Scaling Policies.
CoRR
Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari
2018 J jnl
From Recognition to Cognition: Visual Commonsense Reasoning.
CoRR
Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
2018 A* conf
IQA: Visual Question Answering in Interactive Environments.
CVPR
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2018 — conf
Imagine This! Scripts to Compositions to Videos.
ECCV (8)
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018 J jnl
Imagine This! Scripts to Compositions to Videos.
CoRR
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi
2018 J jnl
Label Refinery: Improving ImageNet Classification through Label Progression.
CoRR
Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi
2018 J jnl
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning.
CoRR
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
2018 — conf
Neural Speed Reading via Skim-RNN.
ICLR (Poster)
Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2018 J jnl
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections.
CoRR
Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz
2018 J jnl
PhotoShape: photorealistic materials for large-scale shape collections.
ACM Trans. Graph.
Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz
2018 A* conf
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.
EMNLP
Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
2018 J jnl
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.
CoRR
Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
2018 J jnl
Re
IEEE Robotics Autom. Lett.
Daniel Gordon, Ali Farhadi, Dieter Fox
2018 A* conf
SeGAN: Segmenting and Generating the Invisible.
CVPR
Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi
2018 A* conf
Structured Set Matching Networks for One-Shot Part Labeling.
CVPR
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi
2018 J jnl
Transferring Common-Sense Knowledge for Object Detection.
CoRR
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018 J jnl
Visual Semantic Navigation using Scene Priors.
CoRR
Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi
2018 J jnl
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data.
CoRR
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi
2018 A* conf
Who Let the Dogs Out? Modeling Dog Behavior From Visual Data.
CVPR
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon, Roozbeh Mottaghi, Ali Farhadi
2018 J jnl
YOLOv3: An Incremental Improvement.
CoRR
Joseph Redmon, Ali Farhadi
2017 J jnl
AI2-THOR: An Interactive 3D Environment for Visual AI.
CoRR
Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi
2017 J jnl
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video.
CoRR
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2017 A* conf
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension.
CVPR
Aniruddha Kembhavi, Min Joon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
2017 A* conf
Asynchronous Temporal Fields for Action Recognition.
CVPR
Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta
2017 — conf
Bidirectional Attention Flow for Machine Comprehension.
ICLR (Poster)
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
2017 A* conf
Commonly Uncommon: Semantic Sparsity in Situation Recognition.
CVPR
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
2017 J jnl
IQA: Visual Question Answering in Interactive Environments.
CoRR
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, Ali Farhadi
2017 A* conf
LCNN: Lookup-Based Convolutional Neural Network.
CVPR
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2017 J jnl
Neural Speed Reading via Skim-RNN.
CoRR
Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2017 — conf
Query-Reduction Networks for Question Answering.
ICLR (Poster)
Min Joon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
2017 J jnl
Re3 : Real-Time Recurrent Regression Networks for Object Tracking.
CoRR
Daniel Gordon, Ali Farhadi, Dieter Fox
2017 J jnl
SeGAN: Segmenting and Generating the Invisible.
CoRR
Kiana Ehsani, Roozbeh Mottaghi, Ali Farhadi
2017 A* conf
See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content.
ICCV
Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi
2017 J jnl
See the Glass Half Full: Reasoning about Liquid Containers, their Volume and Content.
CoRR
Roozbeh Mottaghi, Connor Schenck, Dieter Fox, Ali Farhadi
2017 J jnl
Semantic Highlight Retrieval and Term Prediction.
IEEE Trans. Image Process.
Min Sun, Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi
2017 J jnl
Structured Set Matching Networks for One-Shot Part Labeling.
CoRR
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi, Ali Farhadi
2017 J jnl
Summarizing Unconstrained Videos Using Salient Montages.
IEEE Trans. Pattern Anal. Mach. Intell.
Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
2017 A* conf
Target-driven visual navigation in indoor scenes using deep reinforcement learning.
ICRA
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
2017 — conf
Toward visual intelligence.
TIML@ISCA
Ali Farhadi
2017 A* conf
Visual Semantic Planning Using Deep Successor Representations.
ICCV
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi
2017 J jnl
Visual Semantic Planning using Deep Successor Representations.
CoRR
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi
2017 A* conf
YOLO9000: Better, Faster, Stronger.
CVPR
Joseph Redmon, Ali Farhadi
2016 — conf
"What Happens If..." Learning to Predict the Effect of Forces in Images.
ECCV (4)
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
2016 J jnl
"What happens if..." Learning to Predict the Effect of Forces in Images.
CoRR
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
2016 J jnl
A Diagram Is Worth A Dozen Images.
CoRR
Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi
2016 — conf
A Diagram is Worth a Dozen Images.
ECCV (4)
Aniruddha Kembhavi, Mike Salvato, Eric Kolve, Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi
2016 A* conf
A Task-Oriented Approach for Cost-Sensitive Recognition.
CVPR
Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi
2016 A* conf
Actions ~ Transformations.
CVPR
Xiaolong Wang, Ali Farhadi, Abhinav Gupta
2016 A* conf
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects.
AAAI
Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
2016 J jnl
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects.
CoRR
Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
2016 J jnl
Asynchronous Temporal Fields for Action Recognition.
CoRR
Gunnar A. Sigurdsson, Santosh Kumar Divvala, Ali Farhadi, Abhinav Gupta
2016 J jnl
Bidirectional Attention Flow for Machine Comprehension.
CoRR
Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
2016 J jnl
Commonly Uncommon: Semantic Sparsity in Situation Recognition.
CoRR
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
2016 — conf
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks.
ECCV (4)
Junyuan Xie, Ross B. Girshick, Ali Farhadi
2016 J jnl
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks.
CoRR
Junyuan Xie, Ross B. Girshick, Ali Farhadi
2016 — conf
FigureSeer: Parsing Result-Figures in Research Papers.
ECCV (7)
Noah Siegel, Zachary Horvitz, Roie Levin, Santosh Kumar Divvala, Ali Farhadi
2016 — conf
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
ECCV (1)
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta
2016 J jnl
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
CoRR
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, Abhinav Gupta
2016 J jnl
LCNN: Lookup-based Convolutional Neural Network.
CoRR
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2016 B conf
Much Ado About Time: Exhaustive Annotation of Temporal Data.
HCOMP
Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta
2016 J jnl
Much Ado About Time: Exhaustive Annotation of Temporal Data.
CoRR
Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi, Ivan Laptev, Abhinav Gupta
2016 J jnl
NCAM: Near-Data Processing for Nearest Neighbor Search.
CoRR
Vincent T. Lee, Carlo C. del Mundo, Armin Alaghi, Luis Ceze, Mark Oskin, Ali Farhadi
2016 A* conf
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images.
CVPR
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2016 J jnl
Query-Regression Networks for Machine Comprehension.
CoRR
Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi
2016 J jnl
Ranking Highlights in Personal Videos by Analyzing Edited Videos.
IEEE Trans. Image Process.
Min Sun, Ali Farhadi, Tseng-Hung Chen, Steven M. Seitz
2016 B conf
Semantic highlight retrieval.
ICIP
Kuo-Hao Zeng, Yen-Chen Lin, Ali Farhadi, Min Sun
2016 A* conf
Situation Recognition: Visual Semantic Role Labeling for Image Understanding.
CVPR
Mark Yatskar, Luke Zettlemoyer, Ali Farhadi
2016 — conf
Stating the Obvious: Extracting Visual Common Sense Knowledge.
HLT-NAACL
Mark Yatskar, Vicente Ordonez, Ali Farhadi
2016 J jnl
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning.
CoRR
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
2016 A* conf
Toward a Taxonomy and Computational Models of Abnormalities in Images.
AAAI
Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi
2016 A* conf
Unsupervised Deep Embedding for Clustering Analysis.
ICML
Junyuan Xie, Ross B. Girshick, Ali Farhadi
2016 — conf
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks.
ECCV (4)
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2016 J jnl
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks.
CoRR
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi
2016 J jnl
YOLO9000: Better, Faster, Stronger.
CoRR
Joseph Redmon, Ali Farhadi
2016 A* conf
You Only Look Once: Unified, Real-Time Object Detection.
CVPR
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi
2015 J jnl
Actions ~ Transformations.
CoRR
Xiaolong Wang, Ali Farhadi, Abhinav Gupta
2015 — conf
Deep Classifiers from Image Tags in the Wild.
MMCommons@ACM Multimedia
Hamid Izadinia, Bryan C. Russell, Ali Farhadi, Matthew D. Hoffman, Aaron Hertzmann
2015 A* conf
Discriminative and consistent similarities in instance-level Multiple Instance Learning.
CVPR
Mohammad Rastegari, Hannaneh Hajishirzi, Ali Farhadi
2015 A* conf
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off!
ICCV
Bilge Soran, Ali Farhadi, Linda G. Shapiro
2015 A conf
Learning to Select and Order Vacation Photographs.
WACV
Fereshteh Sadeghi, J. Rafael Tena, Ali Farhadi, Leonid Sigal
2015 J jnl
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images.
CoRR
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
2015 — ch.
On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations.
Handbook of Genetic Programming Applications
Mehdi Mousavi, Alireza Azarbakht, Sahar Rahpeyma, Ali Farhadi
2015 A* conf
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing.
ICCV
Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
2015 J jnl
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing.
CoRR
Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi
2015 A* conf
Solving Geometry Problems: Combining Text and Diagram Interpretation.
EMNLP
Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm
2015 J jnl
Toward a Taxonomy and Computational Models of Abnormalities in Images.
CoRR
Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi
2015 J jnl
Unsupervised Deep Embedding for Clustering Analysis.
CoRR
Junyuan Xie, Ross B. Girshick, Ali Farhadi
2015 J jnl
VISALOGY: Answering Visual Analogy Questions.
CoRR
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
2015 A* conf
VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases.
CVPR
Fereshteh Sadeghi, Santosh Kumar Divvala, Ali Farhadi
2015 — conf
Visalogy: Answering Visual Analogy Questions.
NIPS
Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi
2015 J jnl
You Only Look Once: Unified, Real-Time Object Detection.
CoRR
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, Ali Farhadi
2014 J jnl
Abnormal Object Recognition: A Comprehensive Study.
CoRR
Babak Saleh, Ali Farhadi, Ahmed M. Elgammal
2014 — conf
Action Recognition in the Presence of One Egocentric and Multiple Static Cameras.
ACCV (5)
Bilge Soran, Ali Farhadi, Linda G. Shapiro
2014 A* conf
Diagram Understanding in Geometry Questions.
AAAI
Min Joon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni
2014 J jnl
Image Classification and Retrieval from User-Supplied Tags.
CoRR
Hamid Izadinia, Ali Farhadi, Aaron Hertzmann, Matthew D. Hoffman
2014 A* conf
Incorporating Scene Context and Object Layout into Appearance Modeling.
CVPR
Hamid Izadinia, Fereshteh Sadeghi, Ali Farhadi
2014 A* conf
Learning Everything about Anything: Webly-Supervised Visual Concept Learning.
CVPR
Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin
2014 A* conf
Multi-Resolution Language Grounding with Weak Supervision.
EMNLP
Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ali Farhadi
2014 A* conf
Predicting Failures of Vision Systems.
CVPR
Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh
2014 — conf
Ranking Domain-Specific Highlights by Analyzing Edited Videos.
ECCV (1)
Min Sun, Ali Farhadi, Steven M. Seitz
2014 — conf
Salient Montages from Unconstrained Videos.
ECCV (7)
Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
2014 — conf
Towards Transparent Systems: Semantic Characterization of Failure Modes.
ECCV (6)
Aayush Bansal, Ali Farhadi, Devi Parikh
2013 A* conf
Adding Unlabeled Samples to Categories by Learned Attributes.
CVPR
Jonghyun Choi, Mohammad Rastegari, Ali Farhadi, Larry S. Davis
2013 A* conf
Multi-attribute Queries: To Merge or Not to Merge?
CVPR
Mohammad Rastegari, Ali Diba, Devi Parikh, Ali Farhadi
2013 A* conf
Object-Centric Anomaly Detection by Attribute-Based Reasoning.
CVPR
Babak Saleh, Ali Farhadi, Ahmed M. Elgammal
2013 J jnl
Phrasal Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Ali Farhadi, Mohammad Amin Sadeghi
2012 — conf
Attribute Discovery via Predictable Discriminative Binary Codes.
ECCV (6)
Mohammad Rastegari, Ali Farhadi, David A. Forsyth
2012 A* conf
Building a dictionary of image fragments.
CVPR
Zicheng Liao, Ali Farhadi, Yang Wang, Ian Endres, David A. Forsyth
2012 J jnl
Semantic Understanding of Professional Soccer Commentaries
CoRR
Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins
2012 A conf
Semantic Understanding of Professional Soccer Commentaries.
UAI
Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica K. Hodgins
2011 — —
Designing representational architectures in recognition
Ali Farhadi
2011 A* conf
Recognition using visual phrases.
CVPR
Mohammad Amin Sadeghi, Ali Farhadi
2011 A* conf
Understanding egocentric activities.
ICCV
Alireza Fathi, Ali Farhadi, James M. Rehg
2011 A* conf
Using Classification to Protect the Integrity of Spectrum Measurements in White Space Networks.
NDSS
Omid Fatemieh, Ali Farhadi, Ranveer Chandra, Carl A. Gunter
2010 A* conf
Attribute-centric recognition for cross-category generalization.
CVPR
Ali Farhadi, Ian Endres, Derek Hoiem
2010 — conf
Every Picture Tells a Story: Generating Sentences from Images.
ECCV (4)
Ali Farhadi, Seyyed Mohammad Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David A. Forsyth
2010 J jnl
It's All About the Data.
Proc. IEEE
Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ian Endres, Ali Farhadi
2010 — conf
The benefits and challenges of collecting richer object annotations.
CVPR Workshops
Ian Endres, Ali Farhadi, Derek Hoiem, David A. Forsyth
2009 A* conf
A latent model of discriminative aspect.
ICCV
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, David A. Forsyth
2009 A* conf
Describing objects by their attributes.
CVPR
Ali Farhadi, Ian Endres, Derek Hoiem, David A. Forsyth
2009 A* conf
Unlabeled data improvesword prediction.
ICCV
Nicolas Loeff, Ali Farhadi, Ian Endres, David A. Forsyth
2008 — conf
Learning to Recognize Activities from the Wrong View Point.
ECCV (1)
Ali Farhadi, Mostafa Kamali Tabrizi
2008 — conf
Scene Discovery by Matrix Factorization.
ECCV (4)
Nicolas Loeff, Ali Farhadi
2007 A* conf
Transfer Learning in Sign language.
CVPR
Ali Farhadi, David A. Forsyth, Ryan White
2006 — conf
Aligning ASL for Statistical Translation Using a Discriminative Word Model.
CVPR (2)
Ali Farhadi, David A. Forsyth
2006 J jnl
An application of linear predictive coding and computational geometry to iris recognition.
Int. J. Imaging Syst. Technol.
Masoud Alipour, Ali Farhadi, Nima Razavi
2006 J jnl
How to tell the difference between a cat and a dog?
Int. J. Imaging Syst. Technol.
Nima Razavi, Golnoosh Samei, Masoud Alipour, Ali Farhadi
2003 J jnl
Image segmentation via local higher order statistics.
Int. J. Imaging Syst. Technol.
Ali Farhadi, Mehrdad Shahshahani