Adversarial Multiclass Learning under Weak Supervision with Performance Guarantees A Mazzetto, C Cousins, D Sam, SH Bach, E Upfal International Conference on Machine Learning, 2021 | 40 | 2021 |
Semi-supervised aggregation of dependent weak supervision sources with performance guarantees A Mazzetto, D Sam, A Park, E Upfal, S Bach International Conference on Artificial Intelligence and Statistics, 3196-3204, 2021 | 34 | 2021 |
Losses over labels: Weakly supervised learning via direct loss construction D Sam, JZ Kolter Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9695-9703, 2023 | 10 | 2023 |
Label Propagation with Weak Supervision R Pukdee, D Sam, MF Balcan, P Ravikumar International Conference on Learning Representations, 2023 | 10 | 2023 |
Bayesian neural networks with domain knowledge priors D Sam, R Pukdee, DP Jeong, Y Byun, JZ Kolter arXiv preprint arXiv:2402.13410, 2024 | 8 | 2024 |
Learning with explanation constraints R Pukdee, D Sam, JZ Kolter, MFF Balcan, P Ravikumar Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
Understanding prompt engineering may not require rethinking generalization V Akinwande, Y Jiang, D Sam, JZ Kolter arXiv preprint arXiv:2310.03957, 2023 | 7 | 2023 |
Automated data accountability for missions in Mars rover data R Alimo, D Sam, D Lakhmiri, B Kahovec, D Divsalar 2021 IEEE Aerospace Conference (50100), 1-8, 2021 | 7* | 2021 |
Auditing Fairness under Unobserved Confounding Y Byun, D Sam, M Oberst, Z Lipton, B Wilder International Conference on Artificial Intelligence and Statistics, 4339-4347, 2024 | 4 | 2024 |
Computing Low-Entropy Couplings for Large-Support Distributions S Sokota, D Sam, CS de Witt, S Compton, J Foerster, JZ Kolter arXiv preprint arXiv:2405.19540, 2024 | 1 | 2024 |
Learning from Dependent Weak Supervision Sources D Sam Brown University, 2021 | 1* | 2021 |
Predicting the Performance of Black-box LLMs through Self-Queries D Sam, M Finzi, JZ Kolter arXiv preprint arXiv:2501.01558, 2025 | | 2025 |
SYSTEM AND METHOD FOR PROMPT SEARCHING DT Willmott, VA Akinwande, Y Jiang, DJ Sam, J Kolter US Patent App. 18/217,248, 2025 | | 2025 |
Finetuning CLIP to Reason about Pairwise Differences D Sam, D Willmott, JD Semedo, JZ Kolter arXiv preprint arXiv:2409.09721, 2024 | | 2024 |
Improving self-supervised representation learning via sequential adversarial masking D Sam, M Bai, T McKinney, LE Li Self-Supervised Learning: Theory and Practice @ NeurIPS, 2022, 2022 | | 2022 |
Eliciting Black-Box Representations from LLMs through Self-Queries D Sam, MA Finzi ICML 2024 Next Generation of AI Safety Workshop, 0 | | |