Papers

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

2022
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]
The Low-Rank Simplicity Bias in Deep Networks
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola
arXiv 2021.
[Paper][Website][Code]
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]

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