| Are emergent abilities of Large Language Models a mirage? R Schaeffer, B Miranda, S Koyejo Advances in Neural Information Processing Systems, 2023 | 270 | 2023 |
| Decodingtrust: A comprehensive assessment of trustworthiness in gpt models B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... Advances in Neural Information Processing Systems (Datasets & Benchmarks Track), 2023 | 205 | 2023 |
| No free lunch from deep learning in neuroscience: A case study through models of the entorhinal-hippocampal circuit R Schaeffer, M Khona, I Fiete Advances in Neural Information Processing Systems, 2022 | 55 | 2022 |
| Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice R Schaeffer, M Khona, L Meshulam, IR Fiete Advances in Neural Information Processing Systems, 2020 | 36 | 2020 |
| Double descent demystified: Identifying, interpreting & ablating the sources of a deep learning puzzle R Schaeffer, M Khona, Z Robertson, A Boopathy, K Pistunova, JW Rocks, ... arXiv preprint arXiv:2303.14151, 2023 | 16 | 2023 |
| Investigating data contamination for pre-training language models M Jiang, KZ Liu, M Zhong, R Schaeffer, S Ouyang, J Han, S Koyejo arXiv preprint arXiv:2401.06059, 2024 | 14 | 2024 |
| Many-shot jailbreaking C Anil, E Durmus, M Sharma, J Benton, S Kundu, J Batson, N Rimsky, ... Anthropic, April, 2024 | 12 | 2024 |
| Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells R Schaeffer, M Khona, T Ma, C Eyzaguirre, S Koyejo, IR Fiete Advances in Neural Information Processing Systems (NeurIPS), 2023 | 12 | 2023 |
| Pretraining on the test set is all you need R Schaeffer arXiv preprint arXiv:2309.08632, 2023 | 12 | 2023 |
| Brain-wide representations of prior information in mouse decision-making C Findling, F Hubert, International Brain Laboratory, L Acerbi, B Benson, ... BioRxiv, 2023.07. 04.547684, 2023 | 12 | 2023 |
| A brain-wide map of neural activity during complex behaviour International Brain Laboratory, B Benson, J Benson, D Birman, ... Biorxiv, 2023.07. 04.547681, 2023 | 10 | 2023 |
| Deceptive alignment monitoring A Carranza, D Pai, R Schaeffer, A Tandon, S Koyejo ICML 2023 Workshop: Adversarial Machine Learning Frontiers, 2023 | 7 | 2023 |
| Is model collapse inevitable? breaking the curse of recursion by accumulating real and synthetic data M Gerstgrasser, R Schaeffer, A Dey, R Rafailov, H Sleight, J Hughes, ... arXiv preprint arXiv:2404.01413, 2024 | 6 | 2024 |
| Emergence of sparse representations from noise T Bricken, R Schaeffer, B Olshausen, G Kreiman | 4 | 2023 |
| Efficient online inference for nonparametric mixture models R Schaeffer, B Bordelon, M Khona, W Pan, IR Fiete Uncertainty in Artificial Intelligence, 2072-2081, 2021 | 4 | 2021 |
| Does Data Contamination Make a Difference? Insights from Intentionally Contaminating Pre-training Data For Language Models M Jiang, K Liu, M Zhong, R Schaeffer, S Ouyang, J Han, S Koyejo ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation …, 2024 | 3 | 2024 |
| An Information-Theoretic Understanding of Maximum Manifold Capacity Representations B Isik, V Lecomte, R Schaeffer, Y LeCun, M Khona, R Shwartz-Ziv, ... NeurIPS 2023 Workshop: Unifying Representations in Neural Models, 2023 | 2 | 2023 |
| An Information-Theoretic Understanding of Maximum Manifold Capacity Representations V Lecomte, R Schaeffer, B Isik, M Khona, Y LeCun, S Koyejo, A Gromov, ... NeurIPS 2023 Workshop: Symmetry and Geometry in Neural Representations, 2023 | 2 | 2023 |
| Testing assumptions underlying a unified theory for the origin of grid cells R Schaeffer, M Khona, A Bertagnoli, S Koyejo, IR Fiete arXiv preprint arXiv:2311.16295, 2023 | 2 | 2023 |
| Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle R Schaeffer, Z Robertson, A Boopathy, M Khona, I Fiete, A Gromov, ... NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | 2 | 2023 |
Sanmi KoyejoAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
