Adam Lerer
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Image Processing Techniques
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
- Co-authors
- Sam GrossZachary DeVitoAlban DesmaisonZeming LinSoumith ChintalaLuca AntigaAdam PaszkeEdward Z. Yang
- Journals
- Nature Methods (2 papers)Computer (1 paper)Microscopy and Microanalysis (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Adam Lerer
21 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 3.0k
- Artificial Intelligence 2.7k
- Media Technology 436
- Signal Processing 443
- Computational Mathematics 22
Countries citing papers authored by Adam Lerer
This map shows the geographic impact of Adam Lerer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adam Lerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Lerer more than expected).
Fields of papers citing papers by Adam Lerer
This network shows the impact of papers produced by Adam Lerer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adam Lerer. The network helps show where Adam Lerer may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Lerer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2023 | 26 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 28 | |
| 7 | Combining Deep Reinforcement Learning and Search for Imperfect-Information Games | 2020 | 1 |
| 8 | Pytorch-BigGraph: A Large Scale Graph Embedding System. | 2019 | 13 |
| 9 | Towards AI that Can Solve Social Dilemmas. | 2018 | 4 |
| 10 | Learning Social Conventions in Markov Games. | 2018 | 4 |
| 11 | Composable Planning with Attributes | 2018 | 4 |
| 12 | Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). | 2018 | 2 |
| 13 | Automatic differentiation in PyTorch Hit paper breakdown → | 2017 | 5707 |
| 14 | 2016 | 23 | |
| 15 | 2013 | 10 | |
| 16 | Open data kit Hit paper breakdown → | 2010 | 471 |
| 17 | 2010 | 32 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 93 | |
| 20 | 2009 | 1 |
About Adam Lerer
Adam Lerer is a scholar working on Structural Biology, Biophysics, Statistical and Nonlinear Physics, Management Science and Operations Research and Management of Technology and Innovation, having authored 21 papers that have together received 6.7k indexed citations. Recurring topics across this work include ICT in Developing Communities (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Game Theory and Applications (3 papers), Caching and Content Delivery (2 papers), Human Pose and Action Recognition (2 papers), Reinforcement Learning in Robotics (2 papers), Artificial Intelligence in Games (2 papers) and Innovative Approaches in Technology and Social Development (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Artificial Intelligence (2.7k citations), Media Technology (436 citations), Signal Processing (443 citations) and Computational Mathematics (22 citations). Adam Lerer has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Sam Gross, Zachary DeVito, Alban Desmaison, Zeming Lin, Soumith Chintala, Luca Antiga, Adam Paszke, Edward Z. Yang, Yaw Anokwa and Carl Hartung. Their work appears in journals such as Nature Methods, Computer, Microscopy and Microanalysis, IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.