Michael Noukhovitch

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All published works

Action	Title	Year	Authors
+ PDF Chat	Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models	2024	Michael Noukhovitch Sheng‐Yi Huang Sophie Xhonneux Arian Hosseini Rishabh Agarwal Aaron Courville
+ PDF Chat	The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization	2024	Sheng‐Yi Huang Michael Noukhovitch Arian Hosseini Kashif Rasul Weixun Wang Lewis Tunstall
+	Learning to Communicate using Contrastive Learning	2023	Yat Long Lo Biswa Sengupta Jakob Foerster Michael Noukhovitch
+	Language Model Alignment with Elastic Reset	2023	Michael Noukhovitch Samuel Lavoie Florian Strub Aaron Courville
+	Pretraining Representations for Data-Efficient Reinforcement Learning	2021	Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin R Devon Hjelm Philip Bachman Aaron Courville
+	Emergent Communication under Competition	2021	Michael Noukhovitch Travis LaCroix Angeliki Lazaridou Aaron Courville
+	Pretraining Representations for Data-Efficient Reinforcement Learning	2021	Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville
+	Emergent Communication under Competition	2021	Michael Noukhovitch Travis LaCroix Angeliki Lazaridou Aaron Courville
+	Systematic Generalization: What Is Required and Can It Be Learned?	2018	Dzmitry Bahdanau Shikhar Murty Michael Noukhovitch Thien Huu Nguyen Harm de Vries Aaron Courville
+	Systematic Generalization: What Is Required and Can It Be Learned?	2018	Dzmitry Bahdanau Shikhar Murty Michael Noukhovitch Thien Huu Nguyen Harm de Vries Aaron Courville
+	Commonsense mining as knowledge base completion? A study on the impact of novelty	2018	Stanisław Jastrzȩbski Dzmitry Bahdanau Seyedarian Hosseini Michael Noukhovitch Yoshua Bengio Jackie Chi Kit Cheung
+	Commonsense mining as knowledge base completion? A study on the impact of novelty	2018	Stanisław Jastrzȩbski Dzmitry Bahdanau Seyedarian Hosseini Michael Noukhovitch Yoshua Bengio Jackie Chi Kit Cheung
+	Systematic Generalization: What Is Required and Can It Be Learned?	2018	Dzmitry Bahdanau Shikhar Murty Michael Noukhovitch Thien Huu Nguyen Harm de Vries Aaron Courville
+	Commonsense mining as knowledge base completion? A study on the impact of novelty	2018	Stanisław Jastrzȩbski Dzmitry Bahdanau Seyedarian Hosseini Michael Noukhovitch Yoshua Bengio Jackie Kit Cheung

Common Coauthors

Coauthor	Papers Together
Aaron Courville	9
Dzmitry Bahdanau	6
Seyedarian Hosseini	3
Harm de Vries	3
Thien Huu Nguyen	3
Yoshua Bengio	3
Shikhar Murty	3
Stanisław Jastrzȩbski	3
Max Schwarzer	2
Angeliki Lazaridou	2
Laurent Charlin	2
Travis LaCroix	2
Nitarshan Rajkumar	2
Jackie Chi Kit Cheung	2
Arian Hosseini	2
Sheng‐Yi Huang	2
Ankesh Anand	2
Philip Bachman	2
Sophie Xhonneux	1
Florian Strub	1
Samuel Lavoie	1
Jackie Kit Cheung	1
Biswa Sengupta	1
Jakob Foerster	1
Devon Hjelm	1
Lewis Tunstall	1
R Devon Hjelm	1
Kashif Rasul	1
Weixun Wang	1
Rishabh Agarwal	1
Yat Long Lo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Knowledge Base Completion: Baselines Strike Back	2017	Rudolf Kadlec Ondřej Bajgar Jan Kleindienst	2
+ PDF Chat	Verb Physics: Relative Physical Knowledge of Actions and Objects	2017	Maxwell Forbes Yejin Choi	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	A Three-Way Model for Collective Learning on Multi-Relational Data	2011	Maximilian Nickel Volker Tresp Hans‐Peter Kriegel	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Multi-agent Reinforcement Learning in Sequential Social Dilemmas	2017	Joel Z. Leibo Vinícius Zambaldi Marc Lanctot Janusz Marecki Thore Graepel	1
+ PDF Chat	Emergence of Grounded Compositional Language in Multi-Agent Populations	2018	Igor Mordatch Pieter Abbeel	1
+	ShapeWorld - A new test methodology for multimodal language understanding	2017	Alexander Kuhnle Ann Copestake	1
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2018	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	1
+	Fast Linear Model for Knowledge Graph Embeddings	2017	Armand Joulin Édouard Grave Piotr Bojanowski Maximilian Nickel Tomáš Mikolov	1
+	Emergent Communication in a Multi-Modal, Multi-Step Referential Game	2017	Katrina Evtimova Andrew Drozdov Douwe Kiela Kyunghyun Cho	1
+	DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer	2018	Joseph Suárez Justin Johnson Li Fei-Fei	1
+	Emergent Communication through Negotiation	2018	Kris Cao Angeliki Lazaridou Marc Lanctot Joel Z. Leibo Karl Tuyls Stephen Clark	1
+ PDF Chat	Neural Compositional Denotational Semantics for Question Answering	2018	Nitish Gupta Mike Lewis	1
+	Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input	2018	Angeliki Lazaridou Karl Moritz Hermann Karl Tuyls Stephen Clark	1
+ PDF Chat	State representation learning for control: An overview	2018	Timothée Lesort Natalia Díaz-Rodríguez Jean-Frano̧is Goudou David Filliat	1
+	A Study on Overfitting in Deep Reinforcement Learning	2018	Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+ PDF Chat	Explainable Neural Computation via Stack Neural Module Networks	2018	Ronghang Hu Jacob Andreas Trevor Darrell Kate Saenko	1
+	Pythia v0.1: the Winning Entry to the VQA Challenge 2018	2018	Yu Jiang Vivek Natarajan Xinlei Chen Marcus Rohrbach Dhruv Batra Devi Parikh	1
+	Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks	2018	João Loula Marco Baroni Brenden M. Lake	1
+	Learning deep representations by mutual information estimation and maximization	2018	R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio	1
+	Emergence of Communication in an Interactive World with Consistent Speakers	2018	Ben Bogin Mor Geva Jonathan Berant	1
+	Neural Predictive Belief Representations	2018	Zhaohan Daniel Guo Mohammad Gheshlaghi Azar Bilal Piot Bernardo Ávila Pires Toby Pohlen Rémi Munos	1
+	Dopamine: A Research Framework for Deep Reinforcement Learning	2018	Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare	1
+	The Hanabi challenge: A new frontier for AI research	2019	Nolan Bard Jakob Foerster Sarath Chandar Neil Burch Marc Lanctot Hai-Jing Song Emilio Parisotto Vincent Dumoulin Subhodeep Moitra Edward Hughes	1
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	1
+	Multi-Agent Cooperation and the Emergence of (Natural) Language	2016	Angeliki Lazaridou Alexander Peysakhovich Marco Baroni	1
+	A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input	2014	Mateusz Malinowski Mario Fritz	1
+	Gradient Estimation Using Stochastic Computation Graphs	2015	John Schulman Nicolas Heess Théophane Weber Pieter Abbeel	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Inferring and Executing Programs for Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Judy Hoffman Li Fei-Fei C. Lawrence Zitnick Ross Girshick	1
+	Annotation Artifacts in Natural Language Inference Data	2018	Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith	1
+	Jump to better conclusions: SCAN both left and right	2018	Joost Bastings Marco Baroni Jason Weston Kyunghyun Cho Douwe Kiela	1
+	Learning to Communicate with Deep Multi−Agent Reinforcement Learning	2016	Jakob Foerster Ioannis Alexandros Assael Nando de Freitas Shimon Whiteson	1
+	Deep Reinforcement Learning That Matters	2017	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	1
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+ PDF Chat	Learning to Reason: End-to-End Module Networks for Visual Question Answering	2017	Ronghang Hu Jacob Andreas Marcus Rohrbach Trevor Darrell Kate Saenko	1
+	Analyzing the Behavior of Visual Question Answering Models	2016	Aishwarya Agrawal Dhruv Batra Devi Parikh	1
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	1
+	Diversity is All You Need: Learning Skills without a Reward Function	2018	Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine	1
+	Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols	2017	Serhii Havrylov Ivan Titov	1
+	A simple neural network module for relational reasoning	2017	Adam Santoro David Raposo David G. T. Barrett Mateusz Malinowski Razvan Pascanu Peter Battaglia Timothy Lillicrap	1
+ PDF Chat	Adversarial Examples for Evaluating Reading Comprehension Systems	2017	Robin Jia Percy Liang	1
+	Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks	2018	Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar	1
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2017	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	1
+	Rainbow: Combining Improvements in Deep Reinforcement Learning	2017	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Daniel Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1