Adam Lerer

According to our database, Adam Lerer authored at least 40 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Attention Sorting Combats Recency Bias In Long Context Language Models.

Alexander Peysakhovich, Adam Lerer

CoRR, 2023

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning.

Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding.

Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Human-AI Coordination via Human-Regularized Search and Learning.

Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown

CoRR, 2022

Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes.

Leon Yao, Caroline Lo, Israel Nir, Sarah Tan, Ariel Evnine, Adam Lerer, Alex Peysakhovich

CoRR, 2022

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

Proceedings of the International Conference on Machine Learning, 2022

Learning inverse folding from millions of predicted structures.

Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

Proceedings of the International Conference on Machine Learning, 2022

Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization.

Hugh Zhang, Adam Lerer, Noam Brown

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search.

Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown

CoRR, 2021

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings.

Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster

CoRR, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster

CoRR, 2021

No-Press Diplomacy from Scratch.

Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Off-Belief Learning.

Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Human-Level Performance in No-Press Diplomacy via Equilibrium Search.

Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

Proceedings of the 9th International Conference on Learning Representations, 2021

CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images.

Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Scalable Graph Neural Networks for Heterogeneous Graphs.

Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer

CoRR, 2020

DREAM: Deep Regret minimization with Advantage baselines and Model-free learning.

Eric Steinberger, Adam Lerer, Noam Brown

CoRR, 2020

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian.

Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games.

Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

"Other-Play" for Zero-Shot Coordination.

Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster

Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Policies via Search in Cooperative Partially Observable Games.

Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Multi-agent Counterfactual Prediction.

Alexander Peysakhovich, Christian Kroer, Adam Lerer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pytorch-BigGraph: A Large Scale Graph Embedding System.

Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich

Proceedings of Machine Learning and Systems 2019, 2019

Deep Counterfactual Regret Minimization.

Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Existing Social Conventions via Observationally Augmented Self-Play.

Adam Lerer, Alexander Peysakhovich

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Learning Social Conventions in Markov Games.

Adam Lerer, Alexander Peysakhovich

CoRR, 2018

IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.

Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux

CoRR, 2018

Composable Planning with Attributes.

Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus

Proceedings of the 35th International Conference on Machine Learning, 2018

Consequentialist conditional cooperation in social dilemmas with imperfect information.

Alexander Peysakhovich, Adam Lerer

Proceedings of the 6th International Conference on Learning Representations, 2018

Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones.

Alexander Peysakhovich, Adam Lerer

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Towards AI that Can Solve Social Dilemmas.

Alexander Peysakhovich, Adam Lerer

Proceedings of the 2018 AAAI Spring Symposia, 2018

Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version).

Alexander Peysakhovich, Adam Lerer

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Maintaining cooperation in complex social dilemmas using deep reinforcement learning.

Adam Lerer, Alexander Peysakhovich

CoRR, 2017

2016

Learning Physical Intuition of Block Towers by Example.

Adam Lerer, Sam Gross, Rob Fergus

Proceedings of the 33nd International Conference on Machine Learning, 2016

A MultiPath Network for Object Detection.

Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár

Proceedings of the British Machine Vision Conference 2016, 2016

2010

Open data kit: tools to build information services for developing regions.

Carl Hartung, Adam Lerer, Yaw Anokwa, Clint Tseng, Waylon Brunette, Gaetano Borriello

Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development, 2010

Evaluation of IVR data collection UIs for untrained rural users.

Adam Lerer, Molly Ward, Saman P. Amarasinghe

Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

2009

Open Source Data Collection in the Developing World.

Yaw Anokwa, Carl Hartung, Waylon Brunette, Gaetano Borriello, Adam Lerer

Computer, 2009

A new generation of open source data collection tools.

Yaw Anokwa, Carl Hartung, Adam Lerer, Brian DeRenzi, Gaetano Borriello

Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009