Isola, Phillip

73 publications

ICLR 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

ICLRW 2025 Adaptive Length Image Tokenization via Recurrent Allocation Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman

ICLRW 2025 Cross-Modal Alignment Regularization: Enhancing Language Models with Vision Model Representations Yulu Gan, Kaiya Ivy Zhao, Phillip Isola

ICCV 2025 Cycle Consistency as Reward: Learning Image-Text Alignment Without Human Preferences Hyojin Bahng, Caroline Chan, Fredo Durand, Phillip Isola

CoRL 2025 Lucid-XR: An Extended-Reality Data Engine for Robotic Manipulation Yajvan Ravan, Adam Rashid, Alan Yu, Kai McClennen, Gio Huh, Kevin Yang, Zhutian Yang, Qinxi Yu, Xiaolong Wang, Phillip Isola, Ge Yang

ICLR 2025 Personalized Representation from Personalized Generation Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola

ICML 2025 Separating Knowledge and Perception with Procedural Data Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola, Antonio Torralba

NeurIPS 2025 Single-Pass Adaptive Image Tokenization for Minimum Program Search Shivam Duggal, Sanghyun Byun, William T. Freeman, Antonio Torralba, Phillip Isola

CVPRW 2025 What Makes for a Good Stereoscopic Image? Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber

CVPR 2024 A Vision Check-up for Language Models Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrian Rodriguez-Munoz, Shivam Duggal, Phillip Isola, Antonio Torralba

ICMLW 2024 Learning In-Context Decision Making with Synthetic MDPs Akarsh Kumar, Chris Lu, Louis Kirsch, Phillip Isola

CVPR 2024 Learning Vision from Models Rivals Learning Vision from Data Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola

CoRL 2024 Learning Visual Parkour from Generated Images Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John Leonard, Phillip Isola

ICML 2024 Position: The Platonic Representation Hypothesis Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola

NeurIPS 2024 Scalable Optimization in the Modular Norm Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein

CVPR 2024 Scaling Laws of Synthetic Images for Model Training ... for Now Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian

NeurIPS 2024 When Does Perceptual Alignment Benefit Vision Representations? Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola

CoRL 2023 Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola

NeurIPS 2023 DreamSim: Learning New Dimensions of Human Visual Similarity Using Synthetic Data Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola

NeurIPS 2023 Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

NeurIPS 2023 Neural MMO 2.0: A Massively Multi-Task Addition to Massively Multi-Agent Learning Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

ICML 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang

CVPR 2023 Persistent Nature: A Generative Model of Unbounded 3D Worlds Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely

ICLR 2023 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans, Phillip Isola

NeurIPS 2023 StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

ICML 2023 Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola

TMLR 2023 The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

ECCV 2022 Any-Resolution Training for High-Resolution Image Synthesis Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang

ICML 2022 Denoised MDPs: Learning World Models Better than the World Itself Tongzhou Wang, Simon Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

ICLR 2022 Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola

NeurIPSW 2022 Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang, Phillip Isola

CVPR 2022 Learning to Generate Line Drawings That Convey Geometry and Semantics Caroline Chan, Frédo Durand, Phillip Isola

CoRL 2022 MIRA: Mental Imagery for Robotic Affordances Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

NeurIPS 2022 Offline Multi-Agent Reinforcement Learning with Knowledge Distillation Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola

ICLR 2022 On the Learning and Learnability of Quasimetrics Tongzhou Wang, Phillip Isola

NeurIPS 2022 Procedural Image Programs for Representation Learning Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola

NeurIPSW 2022 Real World Relevance of Generative Counterfactual Explanations Swami Sankaranarayanan, Thomas Hartvigsen, Lauren Oakden-Rayner, Marzyeh Ghassemi, Phillip Isola

NeurIPS 2022 Semantic Uncertainty Intervals for Disentangled Latent Spaces Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

ICLRW 2022 Specialization and Exchange in Neural MMO Joseph Suarez, Phillip Isola

ECCV 2022 Totems: Physical Objects for Verifying Visual Integrity Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

NeurIPS 2021 Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek, Phillip Isola

ICCVW 2021 Contrastive Feature Loss for Image Prediction Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang

ICCV 2021 Curious Representation Learning for Embodied Intelligence Yilun Du, Chuang Gan, Phillip Isola

CVPR 2021 Ensembling with Deep Generative Views Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

ICCV 2021 Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri

NeurIPS 2021 Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin, Jacob Huh, Christopher Stauffer, Ser Nam Lim, Phillip Isola

NeurIPS 2021 Learning to See by Looking at Noise Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

ICLR 2021 Using Latent Space Regression to Analyze and Leverage Compositionality in GANs Lucy Chai, Jonas Wulff, Phillip Isola

ECCV 2020 Contrastive Multiview Coding Yonglong Tian, Dilip Krishnan, Phillip Isola

ICLR 2020 Contrastive Representation Distillation Yonglong Tian, Dilip Krishnan, Phillip Isola

ICLR 2020 On the "steerability" of Generative Adversarial Networks Ali Jahanian, Lucy Chai, Phillip Isola

ECCV 2020 Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need? Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

NeurIPS 2020 Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

ICML 2020 Understanding Contrastive Representation Learning Through Alignment and Uniformity on the Hypersphere Tongzhou Wang, Phillip Isola

ECCV 2020 What Makes Fake Images Detectable? Understanding Properties That Generalize Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola

NeurIPS 2020 What Makes for Good Views for Contrastive Learning? Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

CoRL 2019 Experience-Embedded Visual Foresight Lin Yen-Chen, Maria Bauza, Phillip Isola

NeurIPS 2019 Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A Efros

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

NeurIPS 2018 Evolved Policy Gradients Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly Stadie, Filip Wolski, OpenAI Jonathan Ho, Pieter Abbeel

CVPR 2017 Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

CVPR 2017 Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros

ICCV 2017 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros

ECCV 2016 Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros

CVPR 2016 Visually Indicated Sounds Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman

CVPR 2015 Discovering States and Transformations in Image Collections Phillip Isola, Joseph J. Lim, Edward H. Adelson

ICCV 2015 Learning Ordinal Relationships for Mid-Level Vision Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman

CVPRW 2015 SparkleVision: Seeing the World Through Random Specular Microfacets Zhengdong Zhang, Phillip Isola, Edward H. Adelson

ECCV 2014 Crisp Boundary Detection Using Pointwise Mutual Information Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

ICCV 2013 Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers Phillip Isola, Ce Liu

ECCV 2012 Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation Forrester Cole, Phillip Isola, William T. Freeman, Frédo Durand, Edward H. Adelson

NeurIPS 2011 Understanding the Intrinsic Memorability of Images Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva

CVPR 2011 What Makes an Image Memorable? Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva