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Learning to See by Looking at Noise


Jun 10, 2021
Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba


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Generative Models as a Data Source for Multiview Representation Learning


Jun 09, 2021
Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola


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Curious Representation Learning for Embodied Intelligence


May 03, 2021
Yilun Du, Chuang Gan, Phillip Isola


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Ensembling with Deep Generative Views


Apr 29, 2021
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

* CVPR 2021 camera ready version; code available at https://github.com/chail/gan-ensembling 

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Explaining in Style: Training a GAN to explain a classifier in StyleSpace


Apr 27, 2021
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri

* First four authors contributed equally. Project page: https://explaining-in-style.github.io/ 

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The Low-Rank Simplicity Bias in Deep Networks


Mar 18, 2021
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola


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Using latent space regression to analyze and leverage compositionality in GANs


Mar 18, 2021
Lucy Chai, Jonas Wulff, Phillip Isola

* Final ICLR 2021 version 

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iNeRF: Inverting Neural Radiance Fields for Pose Estimation


Dec 10, 2020
Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

* Website: http://yenchenlin.me/inerf/ 

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What makes fake images detectable? Understanding properties that generalize


Aug 24, 2020
Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola


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Noisy Agents: Self-supervised Exploration by Predicting Auditory Events


Jul 27, 2020
Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum

* Project page: http://noisy-agent.csail.mit.edu 

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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere


Jun 17, 2020
Tongzhou Wang, Phillip Isola

* International Conference on Machine Learning (ICML), 2020 

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What makes for good views for contrastive learning


May 20, 2020
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

* submitted to ECCV 2020 

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Supervised Contrastive Learning


Apr 23, 2020
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan


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Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?


Mar 25, 2020
Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

* First two authors contributed equally. Code: http://github.com/WangYueFt/rfs/ 

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Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks


Jan 31, 2020
Joseph Suarez, Yilun Du, Igor Mordach, Phillip Isola


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Experience-Embedded Visual Foresight


Nov 17, 2019
Lin Yen-Chen, Maria Bauza, Phillip Isola

* CoRL 2019. Project website: http://yenchenlin.me/evf/ 

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Contrastive Representation Distillation


Oct 23, 2019
Yonglong Tian, Dilip Krishnan, Phillip Isola

* Project Page: http://hobbitlong.github.io/CRD/, Code: http://github.com/HobbitLong/RepDistiller 

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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video


Oct 01, 2019
Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez

* IROS 2019, 8 pages, 7 figures 

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On the ''steerability" of generative adversarial networks


Jul 16, 2019
Ali Jahanian, Lucy Chai, Phillip Isola


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GANalyze: Toward Visual Definitions of Cognitive Image Properties


Jun 24, 2019
Authors, :, Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

* 17 pages, 15 figures 

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Contrastive Multiview Coding


Jun 23, 2019
Yonglong Tian, Dilip Krishnan, Phillip Isola

* In submission. Code: http://github.com/HobbitLong/CMC/ 

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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents


Mar 02, 2019
Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch


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Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity


Feb 14, 2019
Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

* Website at https://pathak22.github.io/modular-assemblies/ 

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Internal Distribution Matching for Natural Image Retargeting


Dec 01, 2018
Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani


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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks


Aug 30, 2018
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros

* An extended version of our ICCV 2017 paper, v5 (1) adds the link to CycleGAN PyTorch code and (2) fixes typos and formatting issues. 

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