Phillip Isola

Papers

This list may be incomplete. For a complete and up to date list of publications please see Google Scholar.

2023
	Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang arXiv 2023. [Paper][Website]
	Persistent Nature: A Generative Model of Unbounded 3D Worlds Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely CVPR 2023. [Paper][Website]
	The Low-Rank Simplicity Bias in Deep Networks Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola TMLR 2023. [Paper][Website][Code]
2022
	Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang, Phillip Isola NeurReps Workshop 2022. [Paper][Website][Code]
	Powderworld: A Platform for Understanding Generalization via Rich Task Distributions Kevin Frans, Phillip Isola arXiv 2022. [Paper][Blog + Demo][Code]
	MIRA: Mental Imagery for Robotic Affordances Lin Yen-Chen, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola CoRL 2022. [Paper]
	Semantic uncertainty intervals for disentangled latent spaces Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romoano, Phillip Isola NeurIPS 2022. [Paper][Website][Code][Video]
	Procedural Image Programs for Representation Learning Manel Baradad, Chun-Fu (Richard) Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola NeurIPS 2022. [Paper][Website][Code & Datasets]
	Offline Multi-Agent Reinforcement Learning with Knowledge Distillation Wei-Cheng Tseng, Tsun-Hsuan Wang, Lin Yen-Chen, Phillip Isola NeurIPS 2022. [Paper]
	Totems: Physical Objects for Verifying Visual Integrity Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Sernam Lim, Phillip Isola, Antonio Torralba ECCV 2022. [Paper][Website][Code][Video]
	Any-resolution Training for High-resolution Image Synthesis Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang ECCV 2022. [Paper][Website][Code][Video]
	Denoised MDPs: Learning World Models Better Than The World Itself Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian ICML 2022. [Paper][Website][Code]
	Exploring Visual Prompts for Adapting Large-Scale Models Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, Phillip Isola arXiv 2022. [Paper][Website][Code]
	Learning to generate line drawings that convey geometry and semantics Caroline Chan, Frédo Durand, Phillip Isola CVPR 2022. [Paper][Website][Code][Demo]
	On the Learning and Learnability of Quasimetrics Tongzhou Wang, Phillip Isola ICLR 2022. [Paper][Website][Code]
	Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola ICLR 2022. [Paper][Website][Code][News article]
	NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola ICRA 2022. [Paper][Website][Video][Code][Colab]
2021
	Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin, Jacob Huh, Chris Stauffer, Sernam Lim, Phillip Isola NeurIPS 2021. [Paper][Website][Code]
	The Neural MMO Platform for Massively Multiagent Research Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola NeurIPS 2021, Track on Datasets and Benchmarks. [Pre-print][Website][Code][Competition]
	Adaptable Agent Populations Using a Generative Model of Policies Kenneth Derek, Phillip Isola NeurIPS 2021. [Paper][Website][Code]
	Learning to See by Looking at Noise Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba NeurIPS 2021 (spotlight). [Paper][Website][Code]
	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 ICCV 2021. [Paper][Website][Code]
	Curious Representation Learning for Embodied Intelligence Yilun Du, Chuang Gan, Phillip Isola ICCV 2021. [Paper][Website][Code]
	iNeRF: Inverting Neural Radiance Fields for Pose Estimation Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin IROS 2021. [Paper][Website]
	Ensembling with Deep Generative Views Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang CVPR 2021. [Paper][Website][Code][Colab]
	Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai, Jonas Wulff, Phillip Isola ICLR 2021. [Paper][Website][Code][Demo (Colab)]
2020
	Noisy Agents: Self-supervised Exploration by Predicting Auditory Events Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum arXiv 2020. [Paper][Website]
	What makes for good views for contrastive learning? Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola NeurIPS 2020. [Paper][Website][Code][Blog]
	Supervised Contrastive Learning Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan NeurIPS 2020. [Paper][Code]
	What makes fake images detectable? Understanding properties that generalize Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola ECCV 2020. [Paper][Website][Code]
	Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need? Yonglong Tian, Yue Wang, Dilip Krishnan, Josh Tenenbaum, Phillip Isola ECCV 2020. [Paper][Website][Code]
	Contrastive Multiview Coding Yonglong Tian, Dilip Krishnan, Phillip Isola ECCV 2020. [Paper][Website][Code]
	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang, Phillip Isola ICML 2020. [Paper][Website][Code]
	Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola AAMAS Extended Abstract 2020. [Extended abstract][arXiv paper][Code]
	Learning to See before Learning to Act: Visual Pre-training for Manipulation Lin Yen-Chen, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin ICRA 2020. [Paper][Website][Code][Video][Blog]
	Contrastive Representation Distillation Yonglong Tian, Dilip Krishnan, Phillip Isola ICLR 2020. [Paper][Website][Code]
	On the "steerability" of generative adversarial networks Ali Jahanian, Lucy Chai, Phillip Isola ICLR 2020. [Paper][Website][Code]
2019
	Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch arXiv 2019. [Paper][Blog][Code]
	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros NeurIPS 2019. Winner of Virtual Creatures Competition at GECCO 2019 (link) [Paper][Website][Code]
	GANalyze: Toward Visual Definitions of Cognitive Image Properties Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola ICCV 2019*. [Paper][Website][Code]
	InGAN: Capturing and Remapping the "DNA" of a Natural Image Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani ICCV 2019 (oral). [Paper][Website][Code]
	Experience-embedded Visual Foresight Lin Yen-Chen, Maria Bauza, Phillip Isola CoRL 2019. [Paper][Website][Code]
	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGBD images Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez IROS 2019. [Paper][Website]
2018
	Evolved Policy Gradients Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel NeurIPS 2018. [Paper][Blog][Code]
	CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell ICML 2018. [Paper]
	Memorable words are monogamous: The role of synonymy and homonymy in word recognition memory Kyle Mahowald, Phillip Isola, Evelina Fedorenko, Edward Gibson, Aude Oliva PsyArXiv 2018. [Paper]
	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang CVPR 2018. [Paper][Website][Code]
	What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros I3D 2018. [Paper][Video]
2017
	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros ICCV 2017. [Paper][Website][Code]
	Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation Ashvin Nair, Pulkit Agrawal, Dian Chen, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine ICRA 2017. [Paper][Website][Video]
	Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros Real-Time User-Guided Image Colorization with Learned Deep Priors SIGGRAPH 2017. [Paper][Website][Code][Video]
	Ali Jahanian, Phillip Isola, Donglai Wei Mining Visual Evolution in 21 Years of Web Design CHI Extended Abstract, 2017. [Paper]
	Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros Image-to-Image Translation with Conditional Adversarial Networks CVPR, 2017. [Paper][Website][Code][Demo]
	Richard Zhang, Phillip Isola, Alexei A. Efros Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction CVPR, 2017. [Paper][Website][Code]
2016
	Richard Zhang, Phillip Isola, Alexei A. Efros Colorful Image Colorization European Conference on Computer Vision (ECCV), 2016 (oral). [Paper][Website][Code][Demo]
	Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman Visually Indicated Sounds IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (oral). [Paper][Website][Video][Dataset (50GB)]
	Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson Learning Visual Groups From Co-occurrences in Space and Time International Conference on Learning Representations, Workshop paper, 2016 [Paper]
2015
	Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman Learning Ordinal Relationships for Mid-Level Vision International Conference on Computer Vision (ICCV), 2015. [Paper][Website][Code]
	Phillip Isola, Joseph J. Lim, Edward H. Adelson Discovering States and Transformations in Image Collections IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (oral). [Paper][Website][Dataset]
	Zoya Bylinskii, Phillip Isola, Constance Bainbridge, Antonio Torralba, Aude Oliva Intrinsic and Extrinsic Effects on Image Memorability Vision Research, 2015. [Paper][Website][Code][Dataset]
	Zhengdong Zhang, Phillip Isola, Edward H. Adelson Sparkle Vision: Seeing the World through Random Specular Microfacets 4th IEEE International Workshop on Computational Cameras and Displays, 2015. [Paper]
2014
	Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson Crisp Boundary Detection Using Pointwise Mutual Information European Conference on Computer Vision (ECCV), 2014 (oral). [Paper][Website][Code]
2013
	Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva What Makes a Photograph Memorable? Pattern Analysis and Machine Intelligence (PAMI), 2013. [Paper][Website][Dataset]
	Phillip Isola and Ce Liu Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers. International Conference on Computer Vision (ICCV), 2013. [Paper][Website]
	Michelle Borkin, Azalea Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister What Makes a Visualization Memorable? IEEE Transactions on Visualization and Computer Graphics (Infovis), 2013. [Paper][Website]
	Wilma A. Bainbridge, Phillip Isola, Aude Oliva The Intrinsic Memorability of Face Images. Journal of Experimental Psychology: General, 2013. [Paper][Website][Dataset]
	Aude Oliva, Phillip Isola, Aditya Khosla, Wilma A. Bainbridge What makes a picture memorable? SPIE Newsroom Article, 2013. [Article]
2012
	Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva Image Memorability and Visual Inception. SIGGRAPH Asia Technical Briefs (Invited Paper), 2012. [Paper]
	Forrester Cole, Phillip Isola, William T. Freeman, Fredo Durand, Edward H. Adelson Shapecollage: Occlusion-aware, example-based shape interpretation. European Conference on Computer Vision (ECCV), 2012. [Paper][Website]
	Wilma A. Bainbridge, Phillip Isola, Idan Blank, Aude Oliva Establishing a database for studying human face photograph memorability. Proceedings of the Annual Conference of the Cognitive Sciences Society, 2012. [Paper][Website][Dataset]
2011
	Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva Understanding the intrinsic memorability of images. NeurIPS, 2011. [Paper]Website]
	Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva What makes an image memorable? IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [Paper][Website][Dataset]
2008
	Nicholas B. Turk-Browne, Phillip Isola, Brian J. Scholl, Teresa A. Treat Multidimensional visual statistical learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008. [Paper]