Rob Fergus - RankMe

141 papers A* 43A 1B 1Journal 67Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2026	J	`jnl`	Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders. CoRR Shengbang Tong, Boyang Zheng, Ziteng Wang, Bingda Tang, Nanye Ma, Ellis Brown, Jihan Yang, Rob Fergus, Yann LeCun, Saining Xie
2025	A*	`conf`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. ICLR Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2025	J	`jnl`	Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts. CoRR Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie
2025	J	`jnl`	Cambrian-S: Towards Spatial Supersensing in Video. CoRR Shusheng Yang, Jihan Yang, Pinzhi Huang, Ellis Brown, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Daohan Lu, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie
2025	A*	`conf`	Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction. ICLR Anthony GX-Chen, Kenneth Marino, Rob Fergus
2025	J	`jnl`	KL-Regularized Reinforcement Learning is Designed to Mode Collapse. CoRR Anthony GX-Chen, Jatin Prakash, Jeff Guo, Rob Fergus, Rajesh Ranganath
2025	J	`jnl`	Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists? CoRR Anthony GX-Chen, Dongyan Lin, Mandana Samiei, Doina Precup, Blake A. Richards, Rob Fergus, Kenneth Marino
2025	J	`jnl`	SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding. CoRR Ellis Brown, Arijit Ray, Ranjay Krishna, Ross B. Girshick, Rob Fergus, Saining Xie
2025	A*	`conf`	Training Language Models on Synthetic Edit Sequences Improves Code Synthesis. ICLR Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2025	J	`jnl`	Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration. CoRR Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
2024	A*	`conf`	A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. ICML Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024	J	`jnl`	A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. CoRR Nicholas Monath, Will Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024	A*	`conf`	Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. ICLR Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024	J	`jnl`	Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders. CoRR Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
2024	J	`jnl`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. CoRR Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2024	A*	`conf`	Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. NeurIPS Peter Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Adithya Iyer, Sai Charitha Akula, Shusheng Yang, Jihan Yang, Manoj Middepogu, Ziteng Wang, Xichen Pan, Rob Fergus, Yann LeCun, Saining Xie
2024	J	`jnl`	Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. CoRR Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie
2024	J	`jnl`	Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction. CoRR Anthony GX-Chen, Kenneth Marino, Rob Fergus
2024	J	`jnl`	Training Language Models on Synthetic Edit Sequences Improves Code Synthesis. CoRR Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2024	A*	`conf`	USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. ICML Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2024	A*	`conf`	diff History for Neural Language Agents. ICML Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2023	J	`jnl`	Accelerating exploration and representation learning with offline pre-training. CoRR Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand
2023	J	`jnl`	Collaborating with language models for embodied reasoning. CoRR Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus
2023	A*	`conf`	Distilling Internet-Scale Vision-Language Models into Embodied Agents. ICML Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta
2023	J	`jnl`	Distilling Internet-Scale Vision-Language Models into Embodied Agents. CoRR Theodore R. Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta
2023	J	`jnl`	EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023	J	`jnl`	Hierarchical reinforcement learning with natural language subgoals. CoRR Arun Ahuja, Kavya Kopparapu, Rob Fergus, Ishita Dasgupta
2023	A*	`conf`	Learning About Progress From Experts. ICLR Jake Bruce, Ankit Anand, Bogdan Mazoure, Rob Fergus
2023	A*	`conf`	NetHack is Hard to Hack. NeurIPS Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2023	J	`jnl`	NetHack is Hard to Hack. CoRR Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2023	A*	`conf`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl
2023	J	`jnl`	Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl
2023	A*	`conf`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2023	J	`jnl`	diff History for Long-Context Language Agents. CoRR Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
2022	J	`jnl`	IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux
2022	A*	`conf`	Learning to Navigate Wikipedia by Taking Random Walks. NeurIPS Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	J	`jnl`	Learning to Navigate Wikipedia by Taking Random Walks. CoRR Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus
2022	A*	`conf`	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. ICLR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2022	J	`jnl`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2021	A*	`conf`	Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	J	`jnl`	Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
2021	A*	`conf`	Decoupling Value and Policy for Generalization in Reinforcement Learning. ICML Roberta Raileanu, Rob Fergus
2021	J	`jnl`	Decoupling Value and Policy for Generalization in Reinforcement Learning. CoRR Roberta Raileanu, Rob Fergus
2021	A*	`conf`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. ICLR Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Imitation by Predicting Observations. ICML Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne
2021	J	`jnl`	Imitation by Predicting Observations. CoRR Andrew Jaegle, Yury Sulsky, Arun Ahuja, Jake Bruce, Rob Fergus, Greg Wayne
2021	A*	`conf`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2021	J	`jnl`	Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning. CoRR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021	A*	`conf`	Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum
2021	J	`jnl`	Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
2021	A*	`conf`	Reinforcement Learning with Prototypical Representations. ICML Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2021	J	`jnl`	Reinforcement Learning with Prototypical Representations. CoRR Denis Yarats, Rob Fergus, Alessandro Lazaric, Lerrel Pinto
2020	J	`jnl`	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2020	J	`jnl`	Empirically Verifying Hypotheses Using Reinforcement Learning. CoRR Kenneth Marino, Rob Fergus, Arthur Szlam, Abhinav Gupta
2020	A*	`conf`	Energy-based models for atomic-resolution protein conformations. ICLR Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives
2020	J	`jnl`	Energy-based models for atomic-resolution protein conformations. CoRR Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives
2020	A*	`conf`	Fast Adaptation to New Environments via Policy-Dynamics Value Functions. ICML Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus
2020	J	`jnl`	Fast Adaptation via Policy-Dynamics Value Functions. CoRR Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus
2020	J	`jnl`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. CoRR Ilya Kostrikov, Denis Yarats, Rob Fergus
2019	J	`jnl`	Disentangling Video with Independent Prediction. CoRR William F. Whitney, Rob Fergus
2019	—	`conf`	Finding Generalizable Evidence by Learning to Convince Q&A Models. EMNLP/IJCNLP (1) Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho
2019	J	`jnl`	Finding Generalizable Evidence by Learning to Convince Q&A Models. CoRR Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho
2019	—	`conf`	Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies. ICLR (Poster) Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam
2019	J	`jnl`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2018	A*	`conf`	Composable Planning with Attributes. ICML Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus
2018	J	`jnl`	Composable Planning with Attributes. CoRR Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam
2018	J	`jnl`	IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning. CoRR Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux
2018	—	`conf`	Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
2018	J	`jnl`	Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. CoRR Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus
2018	A*	`conf`	Learning by Asking Questions. CVPR Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten
2018	A*	`conf`	Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
2018	J	`jnl`	Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
2018	A*	`conf`	Stochastic Video Generation with a Learned Prior. ICML Emily Denton, Rob Fergus
2018	J	`jnl`	Stochastic Video Generation with a Learned Prior. CoRR Emily Denton, Rob Fergus
2017	—	`ed.`	Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett
2017	J	`jnl`	Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus
2017	J	`jnl`	Learning by Asking Questions. CoRR Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten
2016	—	`conf`	Deep End2End Voxel2Voxel Prediction. CVPR Workshops Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2016	—	`conf`	Learning Multiagent Communication with Backpropagation. NIPS Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
2016	J	`jnl`	Learning Multiagent Communication with Backpropagation. CoRR Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
2016	A*	`conf`	Learning Physical Intuition of Block Towers by Example. ICML Adam Lerer, Sam Gross, Rob Fergus
2016	J	`jnl`	Learning Physical Intuition of Block Towers by Example. CoRR Adam Lerer, Sam Gross, Rob Fergus
2016	A*	`conf`	Learning Simple Algorithms from Examples. ICML Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
2016	J	`jnl`	Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. CoRR Emily L. Denton, Sam Gross, Rob Fergus
2015	J	`jnl`	Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues. CoRR Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir D. Bourdev
2015	A*	`conf`	Beyond frontal faces: Improving Person Recognition using multiple cues. CVPR Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir D. Bourdev
2015	J	`jnl`	Deep End2End Voxel2Voxel Prediction. CoRR Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2015	—	`conf`	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. NIPS Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus
2015	B	`conf`	Deep Neural Networks Predict Category Typicality Ratings for Images. CogSci Brenden M. Lake, Wojciech Zaremba, Rob Fergus, Todd M. Gureckis
2015	—	`conf`	End-To-End Memory Networks. NIPS Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus
2015	A*	`conf`	End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression. CVPR Li Wan, David Eigen, Rob Fergus
2015	J	`jnl`	Improving Image Classification with Location Context. CoRR Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir D. Bourdev
2015	J	`jnl`	Learning Simple Algorithms from Examples. CoRR Wojciech Zaremba, Tomás Mikolov, Armand Joulin, Rob Fergus
2015	A*	`conf`	Learning Spatiotemporal Features with 3D Convolutional Networks. ICCV Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2015	—	`conf`	Learning from Noisy Labels with Deep Neural Networks. ICLR (Workshop) Sainbayar Sukhbaatar, Rob Fergus
2015	J	`jnl`	MazeBase: A Sandbox for Learning from Games. CoRR Sainbayar Sukhbaatar, Arthur Szlam, Gabriel Synnaeve, Soumith Chintala, Rob Fergus
2015	A*	`conf`	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. ICCV David Eigen, Rob Fergus
2015	J	`jnl`	Simple Baseline for Visual Question Answering. CoRR Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
2015	A*	`conf`	User Conditional Hashtag Prediction for Images. KDD Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus
2015	J	`jnl`	Weakly Supervised Memory Networks. CoRR Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, Rob Fergus
2015	A*	`conf`	Web scale photo hash clustering on a single machine. CVPR Yunchao Gong, Marcin Pawlowski, Fei Yang, Louis Brandy, Lubomir D. Bourdev, Rob Fergus
2014	J	`jnl`	C3D: Generic Features for Video Analysis. CoRR Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri
2014	J	`jnl`	Deep Poselets for Human Detection. CoRR Lubomir D. Bourdev, Fei Yang, Rob Fergus
2014	—	`conf`	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. NIPS David Eigen, Christian Puhrsch, Rob Fergus
2014	J	`jnl`	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network. CoRR David Eigen, Christian Puhrsch, Rob Fergus
2014	J	`jnl`	End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression. CoRR Li Wan, David Eigen, Rob Fergus
2014	—	`conf`	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
2014	J	`jnl`	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
2014	—	`conf`	Instance Segmentation of Indoor Scenes Using a Coverage Loss. ECCV (1) Nathan Silberman, David A. Sontag, Rob Fergus
2014	—	`conf`	Intriguing properties of neural networks. ICLR (Poster) Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus
2014	—	`conf`	Learning to Discover Efficient Mathematical Identities. NIPS Wojciech Zaremba, Karol Kurach, Rob Fergus
2014	J	`jnl`	Learning to Discover Efficient Mathematical Identities. CoRR Wojciech Zaremba, Karol Kurach, Rob Fergus
2014	—	`conf`	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks. ICLR Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun
2014	J	`jnl`	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture. CoRR David Eigen, Rob Fergus
2014	—	`conf`	Understanding Deep Architectures using a Recursive Convolutional Network. ICLR (Workshop Poster) David Eigen, Jason Tyler Rolfe, Rob Fergus, Yann LeCun
2014	—	`conf`	Visualizing and Understanding Convolutional Networks. ECCV (1) Matthew D. Zeiler, Rob Fergus
2013	J	`jnl`	Blind Deconvolution with Re-weighted Sparsity Promotion. CoRR Dilip Krishnan, Joan Bruna, Rob Fergus
2013	—	`ch.`	Learning Binary Hash Codes for Large-Scale Image Search. Machine Learning for Computer Vision Kristen Grauman, Rob Fergus
2013	—	`conf`	Regularization of Neural Networks using DropConnect. ICML (3) Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus
2013	A*	`conf`	Restoring an Image Taken through a Window Covered with Dirt or Rain. ICCV David Eigen, Dilip Krishnan, Rob Fergus
2013	A*	`conf`	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks ICLR Matthew D. Zeiler, Rob Fergus
2013	J	`jnl`	Visualizing and Understanding Convolutional Networks. CoRR Matthew D. Zeiler, Rob Fergus
2012	A	`conf`	A Hybrid Neural Network-Latent Topic Model. AISTATS Li Wan, Leo Zhu, Rob Fergus
2012	J	`jnl`	Differentiable Pooling for Hierarchical Feature Learning CoRR Matthew D. Zeiler, Rob Fergus
2012	—	`conf`	Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
2012	—	`conf`	Multidimensional Spectral Hashing. ECCV (5) Yair Weiss, Rob Fergus, Antonio Torralba
2012	A*	`conf`	Nonparametric image parsing using adaptive neighbor sets. CVPR David Eigen, Rob Fergus
2011	A*	`conf`	Adaptive deconvolutional networks for mid and high level feature learning. ICCV Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
2011	A*	`conf`	Blind deconvolution using a normalized sparsity measure. CVPR Dilip Krishnan, Terence Tay, Rob Fergus
2011	—	`conf`	Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain A. Matthews, Rob Fergus
2011	—	`conf`	Indoor scene segmentation using a structured light sensor. ICCV Workshops Nathan Silberman, Rob Fergus
2011	A*	`conf`	Learning invariance through imitation. CVPR Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus
2010	—	`conf`	Case for Automated Detection of Diabetic Retinopathy. AAAI Spring Symposium: Artificial Intelligence for Development Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian
2010	—	`conf`	Convolutional Learning of Spatio-temporal Features. ECCV (6) Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler
2010	—	`conf`	Pose-Sensitive Embedding by Nonlinear NCA Regression. NIPS Graham W. Taylor, Rob Fergus, George Williams, Ian Spiro, Christoph Bregler
2009	J	`jnl`	Dark flash photography. ACM Trans. Graph. Dilip Krishnan, Rob Fergus
2009	—	`conf`	Fast Image Deconvolution using Hyper-Laplacian Priors. NIPS Dilip Krishnan, Rob Fergus
2009	A*	`conf`	Learning invariant features through topographic filter maps. CVPR Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun
2009	—	`conf`	Semi-Supervised Learning in Gigantic Image Collections. NIPS Rob Fergus, Yair Weiss, Antonio Torralba
2004	—	`conf`	Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. CVPR Workshops Li Fei-Fei, Rob Fergus, Pietro Perona