Phillip Isola - RankMe

186 papers A* 53A 7B 1Misc 4Journal 103Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games. CoRR Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum
2026	J	`jnl`	Canonicalizing Multimodal Contrastive Representation Learning. CoRR Sharut Gupta, Sanyam Kansal, Stefanie Jegelka, Phillip Isola, Vikas Garg
2026	J	`jnl`	Digital Red Queen: Adversarial Program Evolution in Core War with LLMs. CoRR Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha
2026	J	`jnl`	End-to-End Training for Unified Tokenization and Latent Denoising. CoRR Shivam Duggal, Xingjian Bai, Zongze Wu, Richard Zhang, Eli Shechtman, Antonio Torralba, Phillip Isola, William T. Freeman
2026	J	`jnl`	Fairness Aware Reward Optimization. CoRR Ching Lam Choi, Vighnesh Subramaniam, Phillip Isola, Antonio Torralba, Stefanie Jegelka
2026	J	`jnl`	Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights. CoRR Yulu Gan, Phillip Isola
2026	J	`jnl`	ReasonCACHE: Teaching LLMs To Reason Without Weight Updates. CoRR Sharut Gupta, Phillip Isola, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja, Mark Ibrahim, Mohammad Pezeshki
2025	A*	`conf`	Adaptive Length Image Tokenization via Recurrent Allocation. ICLR Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman
2025	J	`jnl`	Assessing Adaptive World Models in Machines with Novel Games. CoRR Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum
2025	J	`jnl`	Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models. CoRR Sharut Gupta, Shobhita Sundaram, Chenyu Wang, Stefanie Jegelka, Phillip Isola
2025	J	`jnl`	Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences. CoRR Hyojin Bahng, Caroline Chan, Frédo Durand, Phillip Isola
2025	A*	`conf`	Personalized Representation from Personalized Generation. ICLR Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola
2025	J	`jnl`	Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning. CoRR Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
2025	A	`conf`	Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups. IROS Nicholas Pfaff, Evelyn Fu, Jeremy Binagia, Phillip Isola, Russ Tedrake
2025	J	`jnl`	Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups. CoRR Nicholas Pfaff, Evelyn Fu, Jeremy Binagia, Phillip Isola, Russ Tedrake
2025	A*	`conf`	Separating Knowledge and Perception with Procedural Data. ICML Adrián Rodríguez-Muñoz, Manel Baradad, Phillip Isola, Antonio Torralba
2025	J	`jnl`	Separating Knowledge and Perception with Procedural Data. CoRR Adrián Rodríguez-Muñoz, Manel Baradad, Phillip Isola, Antonio Torralba
2025	J	`jnl`	Single-pass Adaptive Image Tokenization for Minimum Program Search. CoRR Shivam Duggal, SangHyun Byun, William T. Freeman, Antonio Torralba, Phillip Isola
2025	J	`jnl`	Training Transformers with Enforced Lipschitz Constants. CoRR Laker Newhouse, R. Preston Hess, Franz Cesista, Andrii Zahorodnii, Jeremy Bernstein, Phillip Isola
2025	—	`conf`	What Makes for a Good Stereoscopic Image? CVPR Workshops Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber
2025	J	`jnl`	Words That Make Language Models Perceive. CoRR Sophie L. Wang, Phillip Isola, Brian Cheung
2024	A*	`conf`	A Vision Check-up for Language Models. CVPR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu
2024	J	`jnl`	A Vision Check-up for Language Models. CoRR Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba
2024	J	`jnl`	Adaptive Length Image Tokenization via Recurrent Allocation. CoRR Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman
2024	J	`jnl`	Automating the Search for Artificial Life with Foundation Models. CoRR Akarsh Kumar, Chris Lu, Louis Kirsch, Yujin Tang, Kenneth O. Stanley, Phillip Isola, David Ha
2024	—	`conf`	LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2024	A*	`conf`	Learning Vision from Models Rivals Learning Vision from Data. CVPR Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola
2024	Misc	`conf`	Learning Visual Parkour from Generated Images. CoRL Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John J. Leonard, Phillip Isola
2024	J	`jnl`	Learning Visual Parkour from Generated Images. CoRR Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John J. Leonard, Phillip Isola
2024	J	`jnl`	Personalized Representation from Personalized Generation. CoRR Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola
2024	A*	`conf`	Position: The Platonic Representation Hypothesis. ICML Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024	A*	`conf`	Scalable Optimization in the Modular Norm. NeurIPS Tim Large, Yang Liu, Jacob Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
2024	J	`jnl`	Scalable Optimization in the Modular Norm. CoRR Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
2024	A*	`conf`	Scaling Laws of Synthetic Images for Model Training ... for Now. CVPR Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian
2024	J	`jnl`	The Platonic Representation Hypothesis. CoRR Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola
2024	J	`jnl`	Training Neural Networks from Scratch with Parallel Low-Rank Adapters. CoRR Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal
2024	J	`jnl`	What Makes for a Good Stereoscopic Image? CoRR Netanel Y. Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber
2024	J	`jnl`	When Does Perceptual Alignment Benefit Vision Representations? CoRR Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Y. Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2024	A*	`conf`	When does perceptual alignment benefit vision representations? NeurIPS Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
2023	A	`conf`	Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. AAMAS Yangkun Chen, Joseph Suarez, Junjie Zhang, ChengHui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
2023	J	`jnl`	Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. CoRR Yangkun Chen, Joseph Suarez, Junjie Zhang, ChengHui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
2023	Misc	`conf`	Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRL William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
2023	J	`jnl`	Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. CoRR William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola
2023	A*	`conf`	DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. NeurIPS Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
2023	J	`jnl`	DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. CoRR Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
2023	A*	`conf`	Improving CLIP Training with Language Rewrites. NeurIPS Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
2023	J	`jnl`	Improving CLIP Training with Language Rewrites. CoRR Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian
2023	—	`conf`	Is CLIP Fooled by Optical Illusions? Tiny Papers @ ICLR Jerry Ngo, Swami Sankaranarayanan, Phillip Isola
2023	J	`jnl`	LangNav: Language as a Perceptual Representation for Navigation. CoRR Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2023	J	`jnl`	Learning Vision from Models Rivals Learning Vision from Data. CoRR Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola
2023	J	`jnl`	MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman
2023	A*	`conf`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, ChengHui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2023	J	`jnl`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2023	A*	`conf`	Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. ICML Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
2023	J	`jnl`	Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. CoRR Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang
2023	A*	`conf`	Persistent Nature: A Generative Model of Unbounded 3D Worlds. CVPR Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2023	J	`jnl`	Persistent Nature: A Generative Model of Unbounded 3D Worlds. CoRR Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely
2023	A*	`conf`	Powderworld: A Platform for Understanding Generalization via Rich Task Distributions. ICLR Kevin Frans, Phillip Isola
2023	J	`jnl`	Scaling Laws of Synthetic Images for Model Training ... for Now. CoRR Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian
2023	A*	`conf`	StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. NeurIPS Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
2023	J	`jnl`	StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. CoRR Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
2023	J	`jnl`	Steerable Equivariant Representation Learning. CoRR Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, Phillip Isola, Dilip Krishnan
2023	A*	`conf`	Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. ICML Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023	J	`jnl`	Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. CoRR Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023	J	`jnl`	The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2023	J	`jnl`	The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. CoRR Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola
2022	—	`conf`	Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
2022	J	`jnl`	Any-resolution Training for High-resolution Image Synthesis. CoRR Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
2022	A*	`conf`	Denoised MDPs: Learning World Models Better Than the World Itself. ICML Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
2022	J	`jnl`	Denoised MDPs: Learning World Models Better Than the World Itself. CoRR Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian
2022	J	`jnl`	Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner
2022	A*	`conf`	Generative Models as a Data Source for Multiview Representation Learning. ICLR Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola
2022	J	`jnl`	Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings. CoRR Tongzhou Wang, Phillip Isola
2022	A*	`conf`	Learning to generate line drawings that convey geometry and semantics. CVPR Caroline Chan, Frédo Durand, Phillip Isola
2022	J	`jnl`	Learning to generate line drawings that convey geometry and semantics. CoRR Caroline Chan, Frédo Durand, Phillip Isola
2022	Misc	`conf`	MIRA: Mental Imagery for Robotic Affordances. CoRL Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
2022	J	`jnl`	MIRA: Mental Imagery for Robotic Affordances. CoRR Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
2022	J	`jnl`	MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou
2022	A*	`conf`	NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
2022	J	`jnl`	NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola
2022	A	`conf`	Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum
2022	A*	`conf`	Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. NeurIPS Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola
2022	A*	`conf`	On the Learning and Learnability of Quasimetrics. ICLR Tongzhou Wang, Phillip Isola
2022	J	`jnl`	On the Learning and Learnablity of Quasimetrics. CoRR Tongzhou Wang, Phillip Isola
2022	J	`jnl`	Powderworld: A Platform for Understanding Generalization via Rich Task Distributions. CoRR Kevin Frans, Phillip Isola
2022	A*	`conf`	Procedural Image Programs for Representation Learning. NeurIPS Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	J	`jnl`	Procedural Image Programs for Representation Learning. CoRR Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola
2022	A*	`conf`	Semantic uncertainty intervals for disentangled latent spaces. NeurIPS Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
2022	J	`jnl`	Semantic uncertainty intervals for disentangled latent spaces. CoRR Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
2022	—	`conf`	Totems: Physical Objects for Verifying Visual Integrity. ECCV (14) Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022	J	`jnl`	Totems: Physical Objects for Verifying Visual Integrity. CoRR Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba
2022	J	`jnl`	Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models. CoRR Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, Phillip Isola
2021	A*	`conf`	Adaptable Agent Populations via a Generative Model of Policies. NeurIPS Kenneth Derek, Phillip Isola
2021	J	`jnl`	Adaptable Agent Populations via a Generative Model of Policies. CoRR Kenneth Derek, Phillip Isola
2021	—	`conf`	Contrastive Feature Loss for Image Prediction. ICCVW Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021	J	`jnl`	Contrastive Feature Loss for Image Prediction. CoRR Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021	A*	`conf`	Curious Representation Learning for Embodied Intelligence. ICCV Yilun Du, Chuang Gan, Phillip Isola
2021	J	`jnl`	Curious Representation Learning for Embodied Intelligence. CoRR Yilun Du, Chuang Gan, Phillip Isola
2021	A*	`conf`	Ensembling With Deep Generative Views. CVPR Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021	J	`jnl`	Ensembling with Deep Generative Views. CoRR Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021	A*	`conf`	Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
2021	J	`jnl`	Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
2021	J	`jnl`	Generative Models as a Data Source for Multiview Representation Learning. CoRR Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola
2021	A*	`conf`	Learning to Ground Multi-Agent Communication with Autoencoders. NeurIPS Toru Lin, Jacob Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
2021	J	`jnl`	Learning to Ground Multi-Agent Communication with Autoencoders. CoRR Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola
2021	J	`jnl`	Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
2021	A*	`conf`	Learning to See by Looking at Noise. NeurIPS Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
2021	J	`jnl`	Learning to See by Looking at Noise. CoRR Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba
2021	A	`conf`	OPEn: An Open-ended Physics Environment for Learning Without a Task. IROS Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola
2021	J	`jnl`	OPEn: An Open-ended Physics Environment for Learning Without a Task. CoRR Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola
2021	J	`jnl`	The Low-Rank Simplicity Bias in Deep Networks. CoRR Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
2021	—	`conf`	The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade. NeurIPS (Competition and Demos) Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola
2021	—	`conf`	The Neural MMO Platform for Massively Multiagent Research. NeurIPS Datasets and Benchmarks Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
2021	J	`jnl`	The Neural MMO Platform for Massively Multiagent Research. CoRR Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
2021	A*	`conf`	Using latent space regression to analyze and leverage compositionality in GANs. ICLR Lucy Chai, Jonas Wulff, Phillip Isola
2021	J	`jnl`	Using latent space regression to analyze and leverage compositionality in GANs. CoRR Lucy Chai, Jonas Wulff, Phillip Isola
2021	A	`conf`	iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
2020	—	`conf`	Contrastive Multiview Coding. ECCV (11) Yonglong Tian, Dilip Krishnan, Phillip Isola
2020	A*	`conf`	Contrastive Representation Distillation. ICLR Yonglong Tian, Dilip Krishnan, Phillip Isola
2020	A*	`conf`	Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin
2020	A	`conf`	Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. AAMAS Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
2020	J	`jnl`	Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. CoRR Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
2020	J	`jnl`	Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. CoRR Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum
2020	A*	`conf`	On the "steerability" of generative adversarial networks. ICLR Ali Jahanian, Lucy Chai, Phillip Isola
2020	—	`conf`	Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? ECCV (14) Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
2020	J	`jnl`	Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? CoRR Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola
2020	A*	`conf`	Supervised Contrastive Learning. NeurIPS Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	J	`jnl`	Supervised Contrastive Learning. CoRR Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan
2020	A*	`conf`	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. ICML Tongzhou Wang, Phillip Isola
2020	J	`jnl`	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. CoRR Tongzhou Wang, Phillip Isola
2020	—	`conf`	What Makes Fake Images Detectable? Understanding Properties that Generalize. ECCV (26) Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola
2020	A*	`conf`	What Makes for Good Views for Contrastive Learning? NeurIPS Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2020	J	`jnl`	What makes fake images detectable? Understanding properties that generalize. CoRR Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola
2020	J	`jnl`	What makes for good views for contrastive learning. CoRR Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2020	J	`jnl`	iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin
2019	J	`jnl`	Contrastive Multiview Coding. CoRR Yonglong Tian, Dilip Krishnan, Phillip Isola
2019	J	`jnl`	Contrastive Representation Distillation. CoRR Yonglong Tian, Dilip Krishnan, Phillip Isola
2019	Misc	`conf`	Experience-Embedded Visual Foresight. CoRL Yen-Chen Lin, Maria Bauzá, Phillip Isola
2019	J	`jnl`	Experience-Embedded Visual Foresight. CoRR Yen-Chen Lin, Maria Bauzá, Phillip Isola
2019	A*	`conf`	GANalyze: Toward Visual Definitions of Cognitive Image Properties. ICCV Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
2019	A*	`conf`	InGAN: Capturing and Retargeting the "DNA" of a Natural Image. ICCV Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani
2019	A*	`conf`	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros
2019	J	`jnl`	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros
2019	J	`jnl`	Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. CoRR Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
2019	J	`jnl`	Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. CoRR Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch
2019	A	`conf`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2019	J	`jnl`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2019	J	`jnl`	On the "steerability" of generative adversarial networks. CoRR Ali Jahanian, Lucy Chai, Phillip Isola
2018	J	`jnl`	3D Sketching using Multi-View Deep Volumetric Prediction. Proc. ACM Comput. Graph. Interact. Tech. Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau
2018	A*	`conf`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2018	A*	`conf`	Evolved Policy Gradients. NeurIPS Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
2018	J	`jnl`	Evolved Policy Gradients. CoRR Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel
2018	J	`jnl`	Internal Distribution Matching for Natural Image Retargeting. CoRR Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani
2018	A*	`conf`	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CVPR Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
2018	J	`jnl`	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CoRR Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang
2017	J	`jnl`	Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. CoRR Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine
2017	A*	`conf`	Combining self-supervised learning and imitation for vision-based rope manipulation. ICRA Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine
2017	J	`jnl`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2017	A*	`conf`	Image-to-Image Translation with Conditional Adversarial Networks. CVPR Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
2017	—	`conf`	Mining Visual Evolution in 21 Years of Web Design. CHI Extended Abstracts Ali Jahanian, Phillip Isola, Donglai Wei
2017	J	`jnl`	Real-Time User-Guided Image Colorization with Learned Deep Priors. CoRR Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017	J	`jnl`	Real-time user-guided image colorization with learned deep priors. ACM Trans. Graph. Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017	A*	`conf`	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR Richard Zhang, Phillip Isola, Alexei A. Efros
2017	A*	`conf`	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. ICCV Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
2017	J	`jnl`	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. CoRR Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
2017	J	`jnl`	What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction. CoRR Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros
2016	—	`conf`	Colorful Image Colorization. ECCV (3) Richard Zhang, Phillip Isola, Alexei A. Efros
2016	J	`jnl`	Colorful Image Colorization. CoRR Richard Zhang, Phillip Isola, Alexei A. Efros
2016	J	`jnl`	Image-to-Image Translation with Conditional Adversarial Networks. CoRR Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
2016	J	`jnl`	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CoRR Richard Zhang, Phillip Isola, Alexei A. Efros
2016	A*	`conf`	Visually Indicated Sounds. CVPR Andrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman
2015	A*	`conf`	Discovering states and transformations in image collections. CVPR Phillip Isola, Joseph J. Lim, Edward H. Adelson
2015	A*	`conf`	Learning Ordinal Relationships for Mid-Level Vision. ICCV Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman
2015	J	`jnl`	Learning visual groups from co-occurrences in space and time. CoRR Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2015	—	`conf`	SparkleVision: Seeing the world through random specular microfacets. CVPR Workshops Zhengdong Zhang, Phillip Isola, Edward H. Adelson
2015	J	`jnl`	Visually Indicated Sounds. CoRR Andrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman
2014	—	`conf`	Crisp Boundary Detection Using Pointwise Mutual Information. ECCV (3) Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson
2014	J	`jnl`	Sparkle Vision: Seeing the World through Random Specular Microfacets. CoRR Zhengdong Zhang, Phillip Isola, Edward H. Adelson
2014	J	`jnl`	What Makes a Photograph Memorable? IEEE Trans. Pattern Anal. Mach. Intell. Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva
2013	A*	`conf`	Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers. ICCV Phillip Isola, Ce Liu
2013	J	`jnl`	What Makes a Visualization Memorable? IEEE Trans. Vis. Comput. Graph. Michelle Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister
2012	B	`conf`	Establishing a Database for Studying Human Face Photograph Memory. CogSci Wilma A. Bainbridge, Phillip Isola, Idan A. Blank, Aude Oliva
2012	—	`conf`	Image memorability and visual inception. SIGGRAPH Asia Technical Briefs Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva
2012	—	`conf`	Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation. ECCV (3) Forrester Cole, Phillip Isola, William T. Freeman, Frédo Durand, Edward H. Adelson
2011	—	`conf`	Understanding the Intrinsic Memorability of Images. NIPS Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva
2011	A*	`conf`	What makes an image memorable? CVPR Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva