ADVERSARIAL ROBUSTNESS VIA ROBUST LOW RANK REPRESENTATIONS

von Awasthi, Pranjal
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

MULTILABEL REDUCTIONS: WHAT IS MY LOSS OPTIMISING?

von Menon, Aditva K.
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 14 of 20 (2020)

LOW-RANK BOTTLENECK IN MULTI-HEAD ATTENTION MODELS

von Bhojanapalli, Srinadh
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15 (2021)

FEDERATED LEARNING WITH ONLY POSITIVE LABELS

von Yu, Felix X.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

Coded Access Architectures for Dense Memory Systems

von Jain, Hardik
Veröffentlicht in Future Technologies Conference (5. : 2020 : Online) Proceedings of the Future Technologies Conference (FTC) 2020 ; Volume 2 (2021)

ROBUST LARGE-MARGIN LEARNING IN HYPERBOLIC SPACE

von Weber, Melanie
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

A STATISTICAL PERSPECTIVE ON DISTILLATION

von MENON, ADITYA KRISHNA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

In Defense of Dual-Encoders for Neural Ranking

von Menon, Aditya
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

O(N) CONNECTIONS ARE EXPRESSIVE ENOUGH: UNIVERSAL APPROXIMABILITY OF SPARSE TRANSFORMERS

von Yun, Chulhee
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 17 of 27 (2021)

SAMPLED SOFTMAX WITH RANDOM FOURIER FEATURES

von Rawat, Ankit Singh
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

DISENTANGLING LABELING AND SAMPLING BIAS FOR LEARNING IN LARGE-OUTPUT SPACES

von RAWAT, ANKIT SINGH
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)