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Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
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2019
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Mitchell Wortsman
Kiana Ehsani
Mohammad Rastegari
Ali Farhadi
Roozbeh Mottaghi
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5
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Visual Semantic Navigation using Scene Priors
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2018
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Wei Yang
Xiaolong Wang
Ali Farhadi
Abhinav Gupta
Roozbeh Mottaghi
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4
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Adam: A Method for Stochastic Optimization
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2014
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Diederik P. Kingma
Jimmy Ba
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4
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Asynchronous Methods for Deep Reinforcement Learning
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2016
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Volodymyr Mnih
Adrià Puigdomènech Badia
Mehdi Mirza
Alex Graves
Tim Harley
Timothy Lillicrap
David Silver
Koray Kavukcuoglu
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4
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Cognitive Mapping and Planning for Visual Navigation
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2017
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Saurabh Gupta
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
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4
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Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
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2018
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Konstantinos Bousmalis
Alex Irpan
Paul Wohlhart
Yunfei Bai
Matthew Kelcey
Mrinal Kalakrishnan
Laura Downs
Julian Ibarz
Peter PĂĄstor
Kurt Konolige
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4
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Habitat: A Platform for Embodied AI Research
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2019
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Manolis Savva
Abhishek Kadian
Oleksandr Maksymets
Yili Zhao
Erik Wijmans
Bhavana Jain
Julian Straub
Jia Liu
Vladlen Koltun
Jitendra Malik
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4
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
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2017
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Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
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4
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AI2-THOR: An Interactive 3D Environment for Visual AI
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2017
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Eric Kolve
Roozbeh Mottaghi
Daniel Gordon
Yuke Zhu
Abhinav Gupta
Ali Farhadi
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4
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On Evaluation of Embodied Navigation Agents
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2018
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Peter Anderson
Anne Lynn S. Chang
Devendra Singh Chaplot
Alexey Dosovitskiy
Saurabh Gupta
Vladlen Koltun
Jana KoĹĄeckĂĄ
Jitendra Malik
Roozbeh Mottaghi
Manolis Savva
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3
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ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
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2020
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Chuang Gan
J. Schwartz
Seth Alter
Martin Schrimpf
James Traer
Julian De Freitas
Jonas Kubilius
Abhishek Bhandwaldar
Nick Haber
Megumi Sano
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3
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Learning Phrase Representations using RNN EncoderâDecoder for Statistical Machine Translation
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2014
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Kyunghyun Cho
Bart van MerriĂŤnboer
Ăaǧlar GĂźlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
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3
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Microsoft COCO Captions: Data Collection and Evaluation Server
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2015
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Xinlei Chen
Hao Fang
Tsung-Yi Lin
Ramakrishna Vedantam
Saurabh Gupta
Piotr DollĂĄr
C. Lawrence Zitnick
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2
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StarCraft II: A New Challenge for Reinforcement Learning
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2017
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Oriol Vinyals
Timo Ewalds
Sergey Bartunov
Petko Georgiev
Alexander Sasha Vezhnevets
Michelle Yeo
Alireza Makhzani
Heinrich KĂźttler
John Agapiou
Julian Schrittwieser
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2
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DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
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2015
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Chenyi Chen
Ari Seff
Alain L. Kornhauser
Jianxiong Xiao
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2
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Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
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2018
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Kuan Fang
Yunfei Bai
Stefan HinterstoiĂer
Silvio Savarese
Mrinal Kalakrishnan
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2
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RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
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2018
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Ajay Mandlekar
Yuke Zhu
Animesh Garg
Jonathan Booher
Max Spero
Albert Tung
Julian Gao
John Emmons
Anchit Gupta
Emre Orbay
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2
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The Curious Robot: Learning Visual Representations via Physical Interactions
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2016
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Lerrel Pinto
Dhiraj Gandhi
Yuanfeng Han
YongâLae Park
Abhinav Gupta
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2
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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2
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
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2017
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Sergey Levine
Peter PĂĄstor
Alex Krizhevsky
Julian Ibarz
Deirdre Quillen
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2
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A Diagram is Worth a Dozen Images
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2016
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Aniruddha Kembhavi
Mike Salvato
Eric Kolve
Minjoon Seo
Hannaneh Hajishirzi
Ali Farhadi
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2
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Deep Contextualized Word Representations
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2018
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Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
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2
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Synthesized Policies for Transfer and Adaptation across Tasks and Environments
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2018
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Hexiang Hu
Liyu Chen
Boqing Gong
Fei Sha
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2
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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2
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Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
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2016
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Wenzhe Shi
JosĂŠ Caballero
Ferenc HuszĂĄr
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
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2
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Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
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2017
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Yang Zhang
Philip David
Boqing Gong
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2
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IQA: Visual Question Answering in Interactive Environments
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2018
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Daniel Gordon
Aniruddha Kembhavi
Mohammad Rastegari
Joseph Redmon
Dieter Fox
Ali Farhadi
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2
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MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments
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2017
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Manolis Savva
Anne Lynn S. Chang
Alexey Dosovitskiy
Thomas Funkhouser
Vladlen Koltun
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2
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Collective robot reinforcement learning with distributed asynchronous guided policy search
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2017
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Ali Abdullah Yahya
Adrian Li
Mrinal Kalakrishnan
Yevgen Chebotar
Sergey Levine
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2
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Embodied Question Answering
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2018
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Abhishek Das
Samyak Datta
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
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2
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VirtualHome: Simulating Household Activities Via Programs
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2018
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Xavier Puig
Kevin Ra
Marko Boben
Jiaman Li
Tingwu Wang
Sanja Fidler
Antonio Torralba
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2
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VQA: Visual Question Answering
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2015
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Stanislaw Antol
Aishwarya Agrawal
Jiasen Lu
Margaret Mitchell
Dhruv Batra
C. Lawrence Zitnick
Devi Parikh
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2
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The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation
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2019
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ChihâYao Ma
Zuxuan Wu
Ghassan AlRegib
Caiming Xiong
Zsolt Kira
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2
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AllenNLP: A Deep Semantic Natural Language Processing Platform
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2018
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Matt Gardner
JoĂŤl Grus
Mark E Neumann
Oyvind Tafjord
Pradeep Dasigi
Nelson Liu
Matthew E. Peters
Michael Schmitz
Luke Zettlemoyer
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2
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DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
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2017
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Matej MoravÄĂk
Martin Schmid
Neil Burch
Viliam LisĂ˝
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Johanson
Michael Bowling
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2
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Learning Transferable Features with Deep Adaptation Networks
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2015
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Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
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2
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On the Convergence of Adam and Beyond
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2019
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Sashank J. Reddi
Satyen Kale
Sanjiv Kumar
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2
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Taskonomy: Disentangling Task Transfer Learning
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2018
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Amir Zamir
Alexander F. Sax
William Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
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2
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Domain-Adversarial Training of Neural Networks
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2017
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Yaroslav Ganin
Evgeniya Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
Mario Marchand
Victor Lempitsky
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2
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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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PyRobot: An Open-source Robotics Framework for Research and Benchmarking.
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2019
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Adithyavairavan Murali
Tao Chen
Kalyan Vasudev Alwala
Dhiraj Gandhi
Lerrel Pinto
Saurabh Gupta
Abhinav Gupta
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2
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Gibson Env: Real-World Perception for Embodied Agents
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2018
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Fei Xia
Amir Zamir
Zhiyang He
Alexander F. Sax
Jitendra Malik
Silvio Savarese
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2
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CHALET: Cornell House Agent Learning Environment
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2018
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Claudia Yan
Dipendra Misra
Andrew Bennett
Aaron Walsman
Yonatan Bisk
Yoav Artzi
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2
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Domain randomization for transferring deep neural networks from simulation to the real world
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2017
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Josh Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
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2
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QuAC: Question Answering in Context
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2018
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Eunsol Choi
He He
Mohit Iyyer
Mark Yatskar
Wen-tau Yih
Yejin Choi
Percy Liang
Luke Zettlemoyer
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2
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Affect-LM: A Neural Language Model for Customizable Affective Text Generation
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2017
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Sayan Ghosh
Mathieu Chollet
Eugene Laksana
LouisâPhilippe Morency
Stefan Scherer
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2
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Building Generalizable Agents with a Realistic and Rich 3D Environment
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2018
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Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
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2
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FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
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2016
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Judy Hoffman
Dequan Wang
Fisher Yu
Trevor Darrell
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2
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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
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2017
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Shital Shah
Debadeepta Dey
Chris Lovett
Ashish Kapoor
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2
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HoME: a Household Multimodal Environment
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2017
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Simon Brodeur
Ethan Perez
Ankesh Anand
Florian Golemo
Luca Celotti
Florian Strub
Jean Rouat
Hugo Larochelle
Aaron Courville
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2
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