Efficient Dataset Distillation using Random Feature Approximation

von Loo, Noel
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

Evolution of Neural Tangent Kernels under Benign and Adversarial Training

von Loo, Noel
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 16 of 50 (2023)

DEEP EVIDENTIAL REGRESSION

von Amini, Alexander
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 18 of 27 (2021)

Sparse Flows: Pruning Continuous-depth Models

von Liebenwein, Lucas
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

A NATURAL LOTTERY TICKET WINNER: REINFORCEMENT LEARNING WITH ORDINARY NEURAL CIRCUITS

von Hasani, Ramin
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

Causal Navigation by Continuous-time Neural Networks

von Vorbach, Charles
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure

von Amini, Alexander
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)