More from the Same Authors

• 2021 : The Neural MMO Platform for Massively Multiagent Research »
  Joseph Suarez · Yilun Du · Clare Zhu · Igor Mordatch · Phillip Isola
• 2021 Spotlight: Learning to See by Looking at Noise »
  Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
• 2021 : Continuous Control with Action Quantization from Demonstrations »
  Robert Dadashi · Leonard Hussenot · Damien Vincent · Anton Raichuk · Matthieu Geist · Olivier Pietquin
• 2021 : Implicitly Regularized RL with Implicit Q-values »
  Nino Vieillard · Marcin Andrychowicz · Anton Raichuk · Olivier Pietquin · Matthieu Geist
• 2022 : Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings »
  Tongzhou Wang · Phillip Isola
• 2022 : Real world relevance of generative counterfactual explanations »
  Swami Sankaranarayanan · Thomas Hartvigsen · Lauren Oakden-Rayner · Marzyeh Ghassemi · Phillip Isola
• 2022 : Studying Bias in GANs through the Lens of Race »
  Vongani Maluleke · Neerja Thakkar · Tim Brooks · Ethan Weber · Trevor Darrell · Alexei Efros · Angjoo Kanazawa · Devin Guillory
• 2022 Competition: The Third Neural MMO Challenge: Learning to Specialize in Massively Multiagent Open Worlds »
  Joseph Suarez · Hanmo Chen · Arbin Chen · Bo Wu · Xiaolong Zhu · enhong liu · JUN HU · Chenghui Yu · Phillip Isola
• 2022 : Line Drawings as Communication »
  Phillip Isola
• 2022 Poster: Semantic uncertainty intervals for disentangled latent spaces »
  Swami Sankaranarayanan · Anastasios Angelopoulos · Stephen Bates · Yaniv Romano · Phillip Isola
• 2022 Poster: Emergent Communication: Generalization and Overfitting in Lewis Games »
  Mathieu Rita · Corentin Tallec · Paul Michel · Jean-Bastien Grill · Olivier Pietquin · Emmanuel Dupoux · Florian Strub
• 2022 Poster: Procedural Image Programs for Representation Learning »
  Manel Baradad · Richard Chen · Jonas Wulff · Tongzhou Wang · Rogerio Feris · Antonio Torralba · Phillip Isola
• 2022 Poster: Test-Time Training with Masked Autoencoders »
  Yossi Gandelsman · Yu Sun · Xinlei Chen · Alexei Efros
• 2022 Poster: Visual Prompting via Image Inpainting »
  Amir Bar · Yossi Gandelsman · Trevor Darrell · Amir Globerson · Alexei Efros
• 2022 Poster: Generating Long Videos of Dynamic Scenes »
  Tim Brooks · Janne Hellsten · Miika Aittala · Ting-Chun Wang · Timo Aila · Jaakko Lehtinen · Ming-Yu Liu · Alexei Efros · Tero Karras
• 2022 Poster: Offline Multi-Agent Reinforcement Learning with Knowledge Distillation »
  Wei-Cheng Tseng · Tsun-Hsuan Johnson Wang · Yen-Chen Lin · Phillip Isola
• 2021 Poster: Learning to Ground Multi-Agent Communication with Autoencoders »
  Toru Lin · Jacob Huh · Christopher Stauffer · Ser Nam Lim · Phillip Isola
• 2021 Poster: Learning to See by Looking at Noise »
  Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
• 2021 Poster: There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning »
  Nathan Grinsztajn · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
• 2021 Poster: Adaptable Agent Populations via a Generative Model of Policies »
  Kenneth Derek · Phillip Isola
• 2021 Poster: What Matters for Adversarial Imitation Learning? »
  Manu Orsini · Anton Raichuk · Leonard Hussenot · Damien Vincent · Robert Dadashi · Sertan Girgin · Matthieu Geist · Olivier Bachem · Olivier Pietquin · Marcin Andrychowicz
• 2021 Poster: MarioNette: Self-Supervised Sprite Learning »
  Dmitriy Smirnov · MICHAEL GHARBI · Matthew Fisher · Vitor Guizilini · Alexei Efros · Justin Solomon
• 2020 : Panel Discussion & Closing »
  Yejin Choi · Alexei Efros · Chelsea Finn · Kristen Grauman · Quoc V Le · Yann LeCun · Ruslan Salakhutdinov · Eric Xing
• 2020 : QA: Alexei Efros »
  Alexei Efros
• 2020 : Invited Talk: Alexei Efros »
  Alexei Efros
• 2020 Poster: Supervised Contrastive Learning »
  Prannay Khosla · Piotr Teterwak · Chen Wang · Aaron Sarna · Yonglong Tian · Phillip Isola · Aaron Maschinot · Ce Liu · Dilip Krishnan
• 2020 Poster: What Makes for Good Views for Contrastive Learning? »
  Yonglong Tian · Chen Sun · Ben Poole · Dilip Krishnan · Cordelia Schmid · Phillip Isola
• 2020 Poster: Munchausen Reinforcement Learning »
  Nino Vieillard · Olivier Pietquin · Matthieu Geist
• 2020 Poster: Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning »
  Nino Vieillard · Tadashi Kozuno · Bruno Scherrer · Olivier Pietquin · Remi Munos · Matthieu Geist
• 2020 Oral: Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning »
  Nino Vieillard · Tadashi Kozuno · Bruno Scherrer · Olivier Pietquin · Remi Munos · Matthieu Geist
• 2020 Poster: Auxiliary Task Reweighting for Minimum-data Learning »
  Baifeng Shi · Judy Hoffman · Kate Saenko · Trevor Darrell · Huijuan Xu
• 2020 Poster: Space-Time Correspondence as a Contrastive Random Walk »
  Allan Jabri · Andrew Owens · Alexei Efros
• 2020 Oral: Space-Time Correspondence as a Contrastive Random Walk »
  Allan Jabri · Andrew Owens · Alexei Efros
• 2020 Poster: Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications »
  Sarah Perrin · Julien Perolat · Mathieu Lauriere · Matthieu Geist · Romuald Elie · Olivier Pietquin
• 2020 Poster: Swapping Autoencoder for Deep Image Manipulation »
  Taesung Park · Jun-Yan Zhu · Oliver Wang · Jingwan Lu · Eli Shechtman · Alexei Efros · Richard Zhang
• 2020 Poster: Fighting Copycat Agents in Behavioral Cloning from Observation Histories »
  Chuan Wen · Jierui Lin · Trevor Darrell · Dinesh Jayaraman · Yang Gao
• 2020 : Discussion Panel: Hugo Larochelle, Finale Doshi-Velez, Devi Parikh, Marc Deisenroth, Julien Mairal, Katja Hofmann, Phillip Isola, and Michael Bowling »
  Hugo Larochelle · Finale Doshi-Velez · Marc Deisenroth · Devi Parikh · Julien Mairal · Katja Hofmann · Phillip Isola · Michael Bowling
• 2019 : Poster and Coffee Break 2 »
  Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall
• 2019 : Poster Presentations »
  Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange
• 2019 Workshop: AI for Humanitarian Assistance and Disaster Response »
  Ritwik Gupta · Robin Murphy · Trevor Darrell · Eric Heim · Zhangyang Wang · Bryce Goodman · Piotr Biliński
• 2019 Poster: Budgeted Reinforcement Learning in Continuous State Space »
  Nicolas Carrara · Edouard Leurent · Romain Laroche · Tanguy Urvoy · Odalric-Ambrym Maillard · Olivier Pietquin
• 2019 Poster: Compositional Plan Vectors »
  Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine
• 2019 Poster: Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity »
  Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros
• 2019 Spotlight: Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity »
  Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros
• 2019 Poster: A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment »
  Felix Leibfried · Sergio Pascual-Díaz · Jordi Grau-Moya
• 2018 Workshop: Visually grounded interaction and language »
  Florian Strub · Harm de Vries · Erik Wijmans · Samyak Datta · Ethan Perez · Mateusz Malinowski · Stefan Lee · Peter Anderson · Aaron Courville · Jeremie MARY · Dhruv Batra · Devi Parikh · Olivier Pietquin · Chiori HORI · Tim Marks · Anoop Cherian
• 2018 Poster: Speaker-Follower Models for Vision-and-Language Navigation »
  Daniel Fried · Ronghang Hu · Volkan Cirik · Anna Rohrbach · Jacob Andreas · Louis-Philippe Morency · Taylor Berg-Kirkpatrick · Kate Saenko · Dan Klein · Trevor Darrell
• 2017 : Invited Talk 7 »
  Trevor Darrell
• 2017 : Adaptive Deep Learning for Perception, Action, and Explanation, Trevor Darrell (UC Berkeley) »
  Trevor Darrell
• 2017 : Panel Discussion »
  Felix Hill · Olivier Pietquin · Jack Gallant · Raymond Mooney · Sanja Fidler · Chen Yu · Devi Parikh
• 2017 : Dialogue systems and RL: interconnecting language, vision and rewards »
  Olivier Pietquin
• 2017 : How to stop worrying and learn to love Nearest Neighbors »
  Alexei Efros
• 2017 Workshop: Visually grounded interaction and language »
  Florian Strub · Harm de Vries · Abhishek Das · Satwik Kottur · Stefan Lee · Mateusz Malinowski · Olivier Pietquin · Devi Parikh · Dhruv Batra · Aaron Courville · Jeremie Mary
• 2017 Poster: Is the Bellman residual a bad proxy? »
  Matthieu Geist · Bilal Piot · Olivier Pietquin
• 2017 Poster: Modulating early visual processing by language »
  Harm de Vries · Florian Strub · Jeremie Mary · Hugo Larochelle · Olivier Pietquin · Aaron Courville
• 2017 Spotlight: Modulating early visual processing by language »
  Harm de Vries · Florian Strub · Jeremie Mary · Hugo Larochelle · Olivier Pietquin · Aaron Courville
• 2017 Poster: Toward Multimodal Image-to-Image Translation »
  Jun-Yan Zhu · Richard Zhang · Deepak Pathak · Trevor Darrell · Alexei Efros · Oliver Wang · Eli Shechtman
• 2016 : What makes ImageNet good for Transfer Learning? »
  Jacob MY Huh · Pulkit Agrawal · Alexei Efros
• 2016 : Invited Talk: Learning Adaptive Driving Models from Large-scale Video Datasets (Fisher Yu, Huazhe Xu, Dequan Wang, and Trevor Darrell, Berkeley) »
  Trevor Darrell
• 2016 : Invited Talk: Olivier Pietquin »
  Olivier Pietquin
• 2016 Workshop: Machine Learning for Intelligent Transportation Systems »
  Li Erran Li · Trevor Darrell
• 2015 : Intro and Adapting Deep Networks Across Domains, Modalities, and Tasks »
  Trevor Darrell
• 2015 : Machine Learning For Conversational Systems »
  Larry Heck · Li Deng · Olivier Pietquin · Tomas Mikolov
• 2014 Poster: Difference of Convex Functions Programming for Reinforcement Learning »
  Bilal Piot · Matthieu Geist · Olivier Pietquin
• 2014 Spotlight: Difference of Convex Functions Programming for Reinforcement Learning »
  Bilal Piot · Matthieu Geist · Olivier Pietquin
• 2014 Poster: Do Convnets Learn Correspondence? »
  Jonathan L Long · Ning Zhang · Trevor Darrell
• 2014 Poster: LSDA: Large Scale Detection through Adaptation »
  Judy Hoffman · Sergio Guadarrama · Eric Tzeng · Ronghang Hu · Jeff Donahue · Ross Girshick · Trevor Darrell · Kate Saenko
• 2014 Poster: Weakly-supervised Discovery of Visual Pattern Configurations »
  Hyun Oh Song · Yong Jae Lee · Stefanie Jegelka · Trevor Darrell
• 2013 Poster: Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies »
  Yangqing Jia · Joshua T Abbott · Joseph L Austerweil · Tom Griffiths · Trevor Darrell
• 2012 Poster: Inverse Reinforcement Learning through Structured Classification »
  Edouard Klein · Matthieu Geist · BILAL PIOT · Olivier Pietquin
• 2012 Poster: Learning with Recursive Perceptual Representations »
  Oriol Vinyals · Yangqing Jia · Li Deng · Trevor Darrell
• 2012 Poster: Timely Object Recognition »
  Sergey K Karayev · Tobi Baumgartner · Mario Fritz · Trevor Darrell
• 2011 Workshop: Integrating Language and Vision »
  Raymond Mooney · Trevor Darrell · Kate Saenko
• 2011 Poster: Heavy-tailed Distances for Gradient Based Image Descriptors »
  Yangqing Jia · Trevor Darrell
• 2011 Poster: Understanding the Intrinsic Memorability of Images »
  Phillip Isola · Devi Parikh · Antonio Torralba · Aude Oliva
• 2010 Poster: Factorized Latent Spaces with Structured Sparsity »
  Yangqing Jia · Mathieu Salzmann · Trevor Darrell
• 2010 Poster: Size Matters: Metric Visual Search Constraints from Monocular Metadata »
  Mario J Fritz · Kate Saenko · Trevor Darrell
• 2009 Poster: Learning to Hash with Binary Reconstructive Embeddings »
  Brian Kulis · Trevor Darrell
• 2009 Spotlight: Learning to Hash with Binary Reconstructive Embeddings »
  Brian Kulis · Trevor Darrell
• 2009 Poster: An Additive Latent Feature Model for Transparent Object Recognition »
  Mario J Fritz · Michael J Black · Gary R Bradski · Trevor Darrell
• 2009 Poster: Filtering Abstract Senses From Image Search Results »
  Kate Saenko · Trevor Darrell
• 2009 Oral: An Additive Latent Feature Model for Transparent Object Recognition »
  Mario J Fritz · Michael J Black · Gary R Bradski · Trevor Darrell
• 2008 Poster: Unsupervised Learning of Visual Sense Models for Polysemous Words »
  Kate Saenko · Trevor Darrell
• 2008 Spotlight: Unsupervised Learning of Visual Sense Models for Polysemous Words »
  Kate Saenko · Trevor Darrell
• 2006 Poster: Approximate Correspondences in High Dimensions »
  Kristen Grauman · Trevor Darrell
• 2006 Spotlight: Approximate Correspondences in High Dimensions »
  Kristen Grauman · Trevor Darrell