Acute effects of complex training as a warm-up on vertical jump, standing long jump, and 20-m sprint

von Wilson, Andrew C.
Veröffentlicht 2004

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

von Wilson, Andrew G
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)

WHY NORMALIZING FLOWS FAI TO DETECT OUT-OF-DISTRIBUTION DATA

von Kirichenko, Polina
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 25 of 27 (2021)

Residual Pathway Priors for Soft Equivariance Constraints

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

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

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

SIMPLIFYING HAMILTONIAN AND LAGRANGIAN NEURAL NETWORKS VIA EXPLICIT CONSTRAINTS

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

On Feature Learning in the Presence of Spurious Correlations

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

LEARNING INVARIANCES IN NEURAL NETWORKS FROM TRAINING DATA

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

Dangers of Bayesian Model Averaging under Covariate Shift

von Izmailov, Pavel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers

von Yang, Wanqian
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

Bayesian Optimization with High-Dimensional Outputs

von Maddox, Wesley J
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

von Kapoor, Sanyam
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

IMPROVING GAN TRAINING WITH PROBABILITY RATIO CLIPPING AND SAMPLE REWEIGHTING

von Wu, Yue
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 7 of 27 (2021)

Does Knowledge Distillation Really Work?

von Stanton, Samuel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization

von Lotfi, Sanae
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

BOTORCH: A FRAMEWORK FOR EFFICIENT MONTE-CARLO BAYESIAN OPTIMIZATION

von Balandat, Maximilian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 26 of 27 (2021)

Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

von Shwartz-Ziv, Ravid
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 36 of 50 (2023)