Joint reasoning for temporal and causal relations Q Ning, Z Feng, H Wu, D Roth arXiv preprint arXiv:1906.04941, 2019 | 167 | 2019 |
A structured learning approach to temporal relation extraction Q Ning, Z Feng, D Roth arXiv preprint arXiv:1906.04943, 2019 | 119 | 2019 |
CogCompTime: A tool for understanding time in natural language Q Ning, B Zhou, Z Feng, H Peng, D Roth Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 65 | 2018 |
Does data augmentation lead to positive margin? S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos International Conference on Machine Learning, 5321-5330, 2019 | 41 | 2019 |
Learning-Augmented -means Clustering JC Ergun, Z Feng, S Silwal, DP Woodruff, S Zhou arXiv preprint arXiv:2110.14094, 2021 | 28 | 2021 |
Cogcompnlp: Your swiss army knife for nlp D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ... Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 21 | 2018 |
Tofu: A task of fictitious unlearning for llms P Maini, Z Feng, A Schwarzschild, ZC Lipton, JZ Kolter arXiv preprint arXiv:2401.06121, 2024 | 19* | 2024 |
Text Descriptions are Compressive and Invariant Representations for Visual Learning Z Feng, A Bair, JZ Kolter | 11* | 2023 |
Dimensionality reduction for the sum-of-distances metric Z Feng, P Kacham, D Woodruff International conference on machine learning, 3220-3229, 2021 | 11 | 2021 |
Strong coresets for subspace approximation and k-median in nearly linear time Z Feng, P Kacham, DP Woodruff CoRR, abs/1912.12003 19, 2019 | 9 | 2019 |
Online learning with graph-structured feedback against adaptive adversaries Z Feng, PL Loh 2018 IEEE International Symposium on Information Theory (ISIT), 931-935, 2018 | 8 | 2018 |
Provable adaptation across multiway domains via representation learning Z Feng, S Han, SS Du arXiv preprint arXiv:2106.06657, 2021 | 3 | 2021 |
On the Neural Tangent Kernel of Equilibrium Models Z Feng, JZ Kolter arXiv preprint arXiv:2310.14062, 2023 | 2 | 2023 |
Non-PSD matrix sketching with applications to regression and optimization Z Feng, F Roosta, DP Woodruff Uncertainty in Artificial Intelligence, 1841-1851, 2021 | 2 | 2021 |
Monotone deep Boltzmann machines Z Feng, E Winston, JZ Kolter arXiv preprint arXiv:2307.04990, 2023 | 1 | 2023 |
Rethinking LLM Memorization through the Lens of Adversarial Compression A Schwarzschild, Z Feng, P Maini, ZC Lipton, JZ Kolter arXiv preprint arXiv:2404.15146, 2024 | | 2024 |
RankCLIP: Ranking-Consistent Language-Image Pretraining Y Zhang, Z Zhao, Z Chen, Z Feng, Z Ding, Y Sun arXiv preprint arXiv:2404.09387, 2024 | | 2024 |
An Axiomatic Approach to Model-Agnostic Concept Explanations Z Feng, M Moshkovitz, D Di Castro, JZ Kolter arXiv preprint arXiv:2401.06890, 2024 | | 2024 |
An Axiomatic Approach to Model-Agnostic Concept Explanations M Moshkovitz, Z Feng, D Di Castro, JZ Kolter | | 2023 |
Monotone mean-field inference in deep markov random fields Z Feng, E Winston, J Kolter, DT Willmott, JD Semedo US Patent App. 17/487,322, 2023 | | 2023 |