| 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 | 39 | 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 | 12 | 2023 |
| Understanding prompt engineering may not require rethinking generalization V Akinwande, Y Jiang, D Sam, JZ Kolter arXiv preprint arXiv:2310.03957, 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 |
| 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 | 7 | 2024 |
| Learning with explanation constraints R Pukdee, D Sam, JZ Kolter, MF Balcan, P Ravikumar arXiv preprint arXiv:2303.14496, 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 |
| 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 |
| Analyzing Similarity Metrics for Data Selection for Language Model Pretraining D Sam, A Chakrabarti, A Rostamizadeh, S Ramalingam, G Citovsky, ... arXiv preprint arXiv:2502.02494, 2025 | | 2025 |
| 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 |
| The Promises and Pitfalls of Language Models for Structured Numerical Data N Gruver, MA Finzi, D Sam, JZ Kolter, B Athiwaratkun, AG Wilson | | |
| Eliciting Black-Box Representations from LLMs through Self-Queries D Sam, MA Finzi ICML 2024 Next Generation of AI Safety Workshop, 0 | | |
Zico KolterCarnegie Mellon UniversityВерификована је имејл адреса на cs.cmu.edu
