A new generation of open source data collection tools. - Yaw Anokwa; Carl Hartung; Adam Lerer; Brian DeRenzi; Gaetano Borriello (ICTD, 2009)

Open Source Data Collection in the Developing World. - Yaw Anokwa; Carl Hartung; Waylon Brunette; Gaetano Borriello; Adam Lerer (Computer, 2009)

Evaluation of IVR data collection UIs for untrained rural users. - Adam Lerer; Molly Ward; Saman P. Amarasinghe (ACM DEV, 2010)

Open data kit: tools to build information services for developing regions. - Carl Hartung; Adam Lerer; Yaw Anokwa; Clint Tseng; Waylon Brunette; Gaetano Borriello (ICTD, 2010)

A MultiPath Network for Object Detection. - Sergey Zagoruyko; Adam Lerer; Tsung-Yi Lin; Pedro Oliveira Pinheiro; Sam Gross; Soumith Chintala; Piotr Dollár (BMVC, 2016)

Learning Physical Intuition of Block Towers by Example. - Adam Lerer; Sam Gross; Rob Fergus (ICML, 2016)

Maintaining cooperation in complex social dilemmas using deep reinforcement learning. - Adam Lerer; Alexander Peysakhovich (CoRR, 2017)

Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). - Alexander Peysakhovich; Adam Lerer (AAAI Workshops, 2018)

Towards AI that Can Solve Social Dilemmas. - Alexander Peysakhovich; Adam Lerer (AAAI Spring Symposia, 2018)

Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones. - Alexander Peysakhovich; Adam Lerer (AAMAS, 2018)

Consequentialist conditional cooperation in social dilemmas with imperfect information. - Alexander Peysakhovich; Adam Lerer (ICLR (Poster), 2018)

Composable Planning with Attributes. - Amy Zhang 001; Sainbayar Sukhbaatar; Adam Lerer; Arthur Szlam; Rob Fergus (ICML, 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)

Learning Social Conventions in Markov Games. - Adam Lerer; Alexander Peysakhovich (CoRR, 2018)

Learning Existing Social Conventions via Observationally Augmented Self-Play. - Adam Lerer; Alexander Peysakhovich (AIES, 2019)

Deep Counterfactual Regret Minimization. - Noam Brown; Adam Lerer; Sam Gross; Tuomas Sandholm (ICML, 2019)

Pytorch-BigGraph: A Large Scale Graph Embedding System. - Adam Lerer; Ledell Wu; Jiajun Shen; Timothée Lacroix; Luca Wehrstedt; Abhijit Bose; Alex Peysakhovich (SysML, 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; et al. (NeurIPS, 2019)

Robust Multi-agent Counterfactual Prediction. - Alexander Peysakhovich; Christian Kroer; Adam Lerer (NeurIPS, 2019)

Improving Policies via Search in Cooperative Partially Observable Games. - Adam Lerer; Hengyuan Hu; Jakob N. Foerster; Noam Brown (AAAI, 2020)

"Other-Play" for Zero-Shot Coordination. - Hengyuan Hu; Adam Lerer; Alex Peysakhovich; Jakob N. Foerster (ICML, 2020)

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. - Noam Brown; Anton Bakhtin; Adam Lerer; Qucheng Gong (NeurIPS, 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 (NeurIPS, 2020)

DREAM: Deep Regret minimization with Advantage baselines and Model-free learning. - Eric Steinberger; Adam Lerer; Noam Brown (CoRR, 2020)

Scalable Graph Neural Networks for Heterogeneous Graphs. - Lingfan Yu; Jiajun Shen; Jinyang Li 001; Adam Lerer (CoRR, 2020)

CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images. - Ellen D. Zhong; Adam Lerer; Joseph H. Davis; Bonnie Berger (ICCV, 2021)

Human-Level Performance in No-Press Diplomacy via Equilibrium Search. - Jonathan Gray; Adam Lerer; Anton Bakhtin; Noam Brown (ICLR, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; Noam Brown; Jakob N. Foerster (ICML, 2021)

No-Press Diplomacy from Scratch. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Noam Brown (NeurIPS, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; David J. Wu 002; Noam Brown; Jakob N. Foerster (CoRR, 2021)

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. - Hengyuan Hu; Adam Lerer; Noam Brown; Jakob N. Foerster (CoRR, 2021)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Anton Bakhtin; Jacob Andreas; Noam Brown (CoRR, 2021)

Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. - Hugh Zhang; Adam Lerer; Noam Brown (AAAI, 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 (ICML, 2022)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Hengyuan Hu; Anton Bakhtin; Jacob Andreas; Noam Brown (ICML, 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)

Human-AI Coordination via Human-Regularized Search and Learning. - Hengyuan Hu; David J. Wu 002; Adam Lerer; Jakob N. Foerster; Noam Brown (CoRR, 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)

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Jonathan Gray; Athul Paul Jacob; Gabriele Farina; Alexander H. Miller; Noam Brown (ICLR, 2023)

Attention Sorting Combats Recency Bias In Long Context Language Models. - Alexander Peysakhovich; Adam Lerer (CoRR, 2023)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)