LEARNING MANIFOLD IMPLICITLY VIA EXPLICIT HEAT-KERNEL LEARNING

von Zhou, Yufan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

BAYESIAN MULTI-TYPE MEAN FIELD MULTI-AGENT IMITATION LEARNING

von Yang, Fan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

FEATURE QUANTIZATION IMPROVES GAN TRAINING

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

Structure-Aware Human-Action Generation

von Yu, Ping
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 30 (2020)

VARIANCE REDUCTION IN STOCHASTIC PARTICLE-OPTIMIZATION SAMPLING

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

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective

von Chen, Changyou
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)