On Uniform Convergence and Low-Norm Interpolation Learning

von Zhou, Lijia
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

Evaluating Graph Generative Models with Contrastively Learned Features

von Shirzad, Hamed
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 11 of 50 (2023)

Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels

von Mohamadi, Mohamad Amin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 17 of 50 (2023)

Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting

von Koehler, Frederic
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

Self-Supervised Learning with Kernel Dependence Maximization

von Li, Yazhe
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

von Liu, Feng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

von Seo, Jinhwan
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 31 (2022)

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models

von Zhou, Lijia
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)