Jonathan Tompson

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos	2024	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+ PDF Chat	Vision Language Models are In-Context Value Learners	2024	Yecheng Jason Ma Joey Hejna Ayzaan Wahid Chuyuan Fu Dhruv Shah Jacky Liang Zhuo Xu Sean Kirmani Peng Xu Danny Driess
+ PDF Chat	ALOHA Unleashed: A Simple Recipe for Robot Dexterity	2024	Tony Z. Zhao Jonathan Tompson Danny Driess Pete Florence Kamyar Ghasemipour Chelsea Finn Ayzaan Wahid
+ PDF Chat	FlexCap: Generating Rich, Localized, and Flexible Captions in Images	2024	Debidatta Dwibedi Vidhi Jain Jonathan Tompson Andrew Zisserman Yusuf Aytar
+ PDF Chat	RT-H: Action Hierarchies Using Language	2024	Suneel Belkhale Tianli Ding Ted Xiao Pierre Sermanet Quon Vuong Jonathan Tompson Yevgen Chebotar Debidatta Dwibedi Dorsa Sadigh
+ PDF Chat	Learning to Learn Faster from Human Feedback with Language Model Predictive Control	2024	Jacky Liang Fei Xia Wenhao Yu Andy Zeng Montserrat Gonzalez Arenas Maria Attarian Maria Bauzá Matthew Bennice Alex Bewley Adil Dostmohamed
+ PDF Chat	ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation	2024	ALOHA Team Jorge Aldaco Travis Armstrong Robert Baruch Jeff Bingham Sanky Chan Kenneth Draper Debidatta Dwibedi Chelsea Finn Pete Florence
+ PDF Chat	Interactive Language: Talking to Robots in Real Time	2024	Corey Lynch Ayzaan Wahid Jonathan Tompson Tianli Ding James Betker Robert Baruch Travis Armstrong Pete Florence
+	Scaling Robot Learning with Semantically Imagined Experience	2023	Tianhe Yu Ted Xiao Jonathan Tompson Austin V. Stone Su Wang Anthony Brohan Jaspiar Singh Clayton Tan Dee M Jodilyn Peralta
+	Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models	2023	Ted Xiao Harris Chan Pierre Sermanet Ayzaan Wahid Anthony Brohan Karol Hausman Sergey Levine Jonathan Tompson
+ PDF Chat	Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations	2023	Negin Heravi Ayzaan Wahid Corey Lynch Pete Florence Travis Armstrong Jonathan Tompson Pierre Sermanet Jeannette Bohg Debidatta Dwibedi
+	Scaling Robot Learning with Semantically Imagined Experience	2023	Tianhe Yu Ted Xiao Austin V. Stone Jonathan Tompson Anthony Brohan Su Wang Jaspiar Singh Clayton Tan Dee M Jodilyn Peralta
+	PaLM-E: An Embodied Multimodal Language Model	2023	Danny Driess Fei Xia Mehdi S. M. Sajjadi Corey Lynch Aakanksha Chowdhery Brian Ichter Ayzaan Wahid Jonathan Tompson Quan Vuong Tianhe Yu
+	Learning Interactive Real-World Simulators	2023	Mengjiao Yang Yilun Du Kamyar Ghasemipour Jonathan Tompson Dale Schuurmans Pieter Abbeel
+	Video Language Planning	2023	Yilun Du Mengjiao Yang Pete Florence Fei Xia Ayzaan Wahid Brian Ichter Pierre Sermanet Tianhe Yu Pieter Abbeel Joshua B. Tenenbaum
+	Open X-Embodiment: Robotic Learning Datasets and RT-X Models	2023	Open X-Embodiment Collaboration Abhishek Padalkar Acorn Pooley Ajinkya Jain Alex Bewley Alex Herzog Alex Irpan Alexander Khazatsky Anant Rai Anikait Singh
+	Geometry Matching for Multi-Embodiment Grasping	2023	Maria Attarian Muhammad Adil Asif Jingzhou Liu Ruthrash Hari Animesh Garg Igor Gilitschenski Jonathan Tompson
+	Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations	2022	Negin Heravi Ayzaan Wahid Corey Lynch Pete Florence Travis Armstrong Jonathan Tompson Pierre Sermanet Jeannette Bohg Debidatta Dwibedi
+	Inner Monologue: Embodied Reasoning through Planning with Language Models	2022	Wenlong Huang Fei Xia Ted Xiao Harris Chan Jacky Liang Pete Florence Andy Zeng Jonathan Tompson Igor Mordatch Yevgen Chebotar
+	Interactive Language: Talking to Robots in Real Time	2022	Corey Lynch Ayzaan Wahid Jonathan Tompson Tianli Ding James Betker Robert Baruch Travis Armstrong Pete Florence
+	Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models	2022	Ted Xiao Harris Chan Pierre Sermanet Ayzaan Wahid Anthony Brohan Karol Hausman Sergey Levine Jonathan Tompson
+	Contrastive Value Learning: Implicit Models for Simple Offline RL	2022	Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson
+ PDF Chat	With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations	2021	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	Implicit Behavioral Cloning	2021	Pete Florence Corey Lynch Andy Zeng Óscar Ramírez Ayzaan Wahid Laura Downs Adrian T. Wong Johnny Lee Igor Mordatch Jonathan Tompson
+	XIRL: Cross-embodiment Inverse Reinforcement Learning	2021	Kevin Zakka Andy Zeng Pete Florence Jonathan Tompson Jeannette Bohg Debidatta Dwibedi
+ PDF Chat	Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks	2021	Daniel Seita Pete Florence Jonathan Tompson Erwin Coumans Vikas Sindhwani Ken Goldberg Andy Zeng
+	Offline Reinforcement Learning with Fisher Divergence Critic Regularization	2021	Ilya Kostrikov Jonathan Tompson Rob Fergus Ofir Nachum
+	Implicit Behavioral Cloning	2021	Pete Florence Corey Lynch Andy Zeng Oscar A Ramı́rez Ayzaan Wahid Laura Downs Adrian T. Wong Johnny Lee Igor Mordatch Jonathan Tompson
+	Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions	2021	Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson
+	With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations	2021	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	XIRL: Cross-embodiment Inverse Reinforcement Learning	2021	Kevin Zakka Andy Zeng Pete Florence Jonathan Tompson Jeannette Bohg Debidatta Dwibedi
+	Transporter Networks: Rearranging the Visual World for Robotic Manipulation	2020	Andy Zeng Pete Florence Jonathan Tompson Stefan Welker Jonathan Chien Maria Attarian Travis Armstrong Ivan Krasin Dan Duong Vikas Sindhwani
+	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild	2020	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+ PDF Chat	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild	2020	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	An Analysis of Object Representations in Deep Visual Trackers	2020	Ross Goroshin Jonathan Tompson Debidatta Dwibedi
+	ADAIL: Adaptive Adversarial Imitation Learning	2020	Yiren Lu Jonathan Tompson
+	Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks	2020	Daniel Seita Pete Florence Jonathan Tompson Erwin Coumans Vikas Sindhwani Ken Goldberg Andy Zeng
+	Transporter Networks: Rearranging the Visual World for Robotic Manipulation	2020	Andy Zeng Pete Florence Jonathan Tompson Stefan Welker Jonathan Chien Maria Attarian Travis Armstrong Ivan Krasin Dan Duong Vikas Sindhwani
+	Counting Out Time: Class Agnostic Video Repetition Counting in the Wild	2020	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	Imitation Learning via Off-Policy Distribution Matching	2019	Ilya Kostrikov Ofir Nachum Jonathan Tompson
+ PDF Chat	Temporal Cycle-Consistency Learning	2019	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	Temporal Cycle-Consistency Learning	2019	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+	Learning Latent Plans from Play	2019	Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine Pierre Sermanet
+	Beyond Photo Realism for Domain Adaptation from Synthetic Data	2019	Kristofer Schlachter Connor DeFanti Sebastian Herscher Ken Perlin Jonathan Tompson
+	Learning Latent Plans from Play	2019	Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine Pierre Sermanet
+	Imitation Learning via Off-Policy Distribution Matching	2019	Ilya Kostrikov Ofir Nachum Jonathan Tompson
+	Temporal Cycle-Consistency Learning	2019	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman
+ PDF Chat	Learning Actionable Representations from Visual Observations	2018	Debidatta Dwibedi Jonathan Tompson Corey Lynch Pierre Sermanet
+	Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning	2018	Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson
+	Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning.	2018	Ilya Kostrikov Kumar Krishna Agrawal Sergey Levine Jonathan Tompson
+	Learning Actionable Representations from Visual Observations	2018	Debidatta Dwibedi Jonathan Tompson Corey Lynch Pierre Sermanet
+	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	2018	George Papandreou Tyler Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Murphy
+	Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning	2018	Supasorn Suwajanakorn Noah Snavely Jonathan Tompson Mohammad Norouzi
+	Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning	2018	Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson
+ PDF Chat	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	2018	George Papandreou Tyler Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Murphy
+	Learning Actionable Representations from Visual Observations	2018	Debidatta Dwibedi Jonathan Tompson Corey Lynch Pierre Sermanet
+	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	2018	George Papandreou Tyler Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Murphy
+ PDF Chat	Towards Accurate Multi-person Pose Estimation in the Wild	2017	George Papandreou Tyler Zhu Nori Kanazawa Alexander Toshev Jonathan Tompson Chris Bregler Kevin Murphy
+	Towards Accurate Multi-person Pose Estimation in the Wild	2017	George Papandreou Tyler Zhu Nori Kanazawa Alexander Toshev Jonathan Tompson Chris Bregler Kevin Murphy
+	Learning Robotic Manipulation of Granular Media	2017	Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine
+	Accelerating Eulerian Fluid Simulation With Convolutional Networks.	2017	Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin
+	Towards Accurate Multi-person Pose Estimation in the Wild	2017	George Papandreou Tyler Zhu Nori Kanazawa Alexander Toshev Jonathan Tompson Chris Bregler Kevin Murphy
+	Accelerating Eulerian Fluid Simulation With Convolutional Networks	2016	Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin
+	Accelerating Eulerian Fluid Simulation With Convolutional Networks	2016	Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin
+ PDF Chat	Unsupervised Learning of Spatiotemporally Coherent Metrics	2015	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun
+ PDF Chat	Efficient object localization using Convolutional Networks	2015	Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun Christoph Bregler
+	Unsupervised Feature Learning from Temporal Data	2015	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun
+ PDF Chat	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation	2015	Arjun Jain Jonathan Tompson Yann LeCun Christoph Bregler
+	Unsupervised Learning of Spatiotemporally Coherent Metrics	2014	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun
+	Efficient Object Localization Using Convolutional Networks	2014	Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun Christopher Bregler
+	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation	2014	Arjun Jain Jonathan Tompson Yann LeCun Christoph Bregler
+	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation	2014	Jonathan Tompson Arjun Jain Yann LeCun Christoph Bregler
+	Efficient Object Localization Using Convolutional Networks	2014	Jonathan Tompson Ross Goroshin Arjun Jain Yann LeCun Christopher Bregler
+	MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation	2014	Arjun Jain Jonathan Tompson Yann LeCun Christoph Bregler
+	Unsupervised Learning of Spatiotemporally Coherent Metrics	2014	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun
+	Learning Human Pose Estimation Features with Convolutional Networks	2013	Arjun Jain Jonathan Tompson Mykhaylo Andriluka Graham W. Taylor Christoph Bregler
+	Learning Human Pose Estimation Features with Convolutional Networks	2013	Arjun Jain Jonathan Tompson Mykhaylo Andriluka Graham W. Taylor Christoph Bregler

Common Coauthors

Coauthor	Papers Together
Pierre Sermanet	23
Debidatta Dwibedi	22
Pete Florence	17
Ayzaan Wahid	15
Andy Zeng	12
Corey Lynch	12
Sergey Levine	11
Yann LeCun	11
Yusuf Aytar	10
Andrew Zisserman	10
Arjun Jain	9
Ross Goroshin	8
Ilya Kostrikov	7
Ted Xiao	7
Christoph Bregler	7
Brian Ichter	7
Karol Hausman	7
George Papandreou	6
Tyler Zhu	6
Fei Xia	6
Ofir Nachum	5
Travis Armstrong	5
Igor Mordatch	5
Tianhe Yu	5
Anthony Brohan	5
Jeannette Bohg	5
Dorsa Sadigh	4
Danny Driess	4
Maria Attarian	4
Ken Perlin	4
Kevin Murphy	4
Vikas Sindhwani	4
Ted Xiao	4
Joan Bruna	4
Jacky Liang	4
Tianli Ding	4
Kristofer Schlachter	4
David Eigen	4
Yevgen Chebotar	4
Nori Kanazawa	3
Spyros Gidaris	3
Tony Z. Zhao	3
Alexander Toshev	3
Sean Kirmani	3
Chuyuan Fu	3
Pablo Sprechmann	3
Harris Chan	3
Kumar Krishna Agrawal	3
Ken Goldberg	3
Johnny Lee	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	15
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	8
+ PDF Chat	Time-Contrastive Networks: Self-Supervised Learning from Video	2018	Pierre Sermanet Corey Lynch Yevgen Chebotar Jasmine Hsu Eric Jang Stefan Schaal Sergey Levine Google Brain	7
+	Learning Human Pose Estimation Features with Convolutional Networks	2013	Arjun Jain Jonathan Tompson Mykhaylo Andriluka Graham W. Taylor Christoph Bregler	6
+	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning	2010	Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell	6
+	Generative Adversarial Imitation Learning	2016	Jonathan Ho Stefano Ermon	5
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	5
+	Representation Learning: A Review and New Perspectives	2012	Yoshua Bengio Aaron Courville Pascal Vincent	5
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	5
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	4
+ PDF Chat	DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation	2016	Leonid Pishchulin Eldar Insafutdinov Siyu Tang Bjoern Andres Mykhaylo Andriluka Peter Gehler Bernt Schiele	4
+	Self-Supervised Correspondence in Visuomotor Policy Learning	2019	Pete Florence Lucas Manuelli Russ Tedrake	4
+ PDF Chat	Learning Actionable Representations from Visual Observations	2018	Debidatta Dwibedi Jonathan Tompson Corey Lynch Pierre Sermanet	4
+	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation	2014	Jonathan Tompson Arjun Jain Yann LeCun Christoph Bregler	4
+ PDF Chat	Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset	2017	João Carreira Andrew Zisserman	4
+ PDF Chat	Scaling Egocentric Vision: The "Equation missing" Dataset	2018	Dima Damen Hazel Doughty Giovanni Maria Farinella Sanja Fidler Antonino Furnari Evangelos Kazakos Davide Moltisanti Jonathan Munro Toby Perrett Will Price	4
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	4
+ PDF Chat	Self-Supervised Video Representation Learning with Odd-One-Out Networks	2017	Basura Fernando Hakan Bilen Efstratios Gavves Stephen Jay Gould	4
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	4
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	4
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	4
+ PDF Chat	Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly	2020	Kevin Zakka Andy Zeng Johnny Lee Shuran Song	3
+	Learning to Manipulate Deformable Objects without Demonstrations	2020	Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel	3
+ PDF Chat	FaceNet: A unified embedding for face recognition and clustering	2015	Florian Schroff Dmitry Kalenichenko James Philbin	3
+ PDF Chat	Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-to-End Learning from Demonstration	2018	Rouhollah Rahmatizadeh Pooya Abolghasemi Ladislau Bölöni Sergey Levine	3
+	Articulated Multi-person Tracking in the Wild.	2016	Eldar Insafutdinov Mykhaylo Andriluka Leonid Pishchulin Siyu Tang Evgeny Levinkov Bjoern Andres Bernt Schiele	3
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+ PDF Chat	Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data	2020	Priya Sundaresan Jennifer Grannen Brijen Thananjeyan Ashwin Balakrishna Michael Laskey Kevin Stone Joseph E. Gonzalez Ken Goldberg	3
+	Third-Person Imitation Learning	2017	Bradly C. Stadie Pieter Abbeel Ilya Sutskever	3
+ PDF Chat	Zero-Shot Visual Imitation	2018	Deepak Pathak Parsa Mahmoudieh Guanghao Luo Pulkit Agrawal Dian Chen Fred Shentu Evan Shelhamer Jitendra Malik Alexei A. Efros Trevor Darrell	3
+	Learning Transferable Visual Models From Natural Language Supervision	2021	Alec Radford Jong Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark	3
+	Learning Robust Rewards with Adversarial Inverse Reinforcement Learning	2017	Justin Fu Katie Luo Sergey Levine	3
+ PDF Chat	Human Pose Estimation via Convolutional Part Heatmap Regression	2016	Adrian Bulat Georgios Tzimiropoulos	3
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	3
+ PDF Chat	Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning	2018	Andy Zeng Shuran Song Stefan Welker Johnny Lee Alberto Rodríguez Thomas Funkhouser	3
+	Signal Recovery from Pooling Representations	2013	Joan Bruna Arthur Szlam Yann LeCun	3
+ PDF Chat	Deep spatial autoencoders for visuomotor learning	2016	Chelsea Finn Xin Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel	3
+	QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation	2018	Dmitry Kalashnikov Alex Irpan Peter Pástor Julian Ibarz Alexander Herzog Eric Jang Deirdre Quillen Ethan Holly Mrinal Kalakrishnan Vincent Vanhoucke	3
+ PDF Chat	Chained Predictions Using Convolutional Neural Networks	2016	Georgia Gkioxari Alexander Toshev Navdeep Jaitly	3
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	3
+	Visualizing and Understanding Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	3
+ PDF Chat	Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization	2018	Jonathan Tremblay Aayush Prakash David Acuna Mark Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield	3
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	3
+	Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control	2018	Frederik Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine	3
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	3
+ PDF Chat	Stacked Hourglass Networks for Human Pose Estimation	2016	Alejandro Newell Kaiyu Yang Jia Deng	3
+ PDF Chat	Temporal Cycle-Consistency Learning	2019	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman	3
+	Transporter Networks: Rearranging the Visual World for Robotic Manipulation	2020	Andy Zeng Pete Florence Jonathan Tompson Stefan Welker Jonathan Chien Maria Attarian Travis Armstrong Ivan Krasin Dan Duong Vikas Sindhwani	3