ON LEVERAGING PRETRAINED GANS FOR GENERATION WITH LIMITED DATA

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

SCALABLE GROMOV-WASSERSTEIN LEARNING FOR GRAPH PARTITIONING AND MATCHING

von Xu, Hongteng
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20 (2020)

The matrix stick-breaking process : flexible Bayes meta-analysis

von Dunson, David B.
Veröffentlicht in American Statistical Association Journal of the American Statistical Association (2008)

OUROBOROS: ON ACCELERATING TRAINING OF TRANSFORMER-BASED LANGUAGE MODELS

von Yang, Qian
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

Dynamic nonparametric Bayesian models for analysis of music

Veröffentlicht in American Statistical Association Journal of the American Statistical Association (2010)

Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations

von Chapfuwa, Paidamoyo
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (38. : 2022 : Eindhoven) 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022) ; Volume 1 of 3 (2023)

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)

LEARNING AUTOENCODERS WITH RELATIONAL REGULARIZATION

von Xu, Hongteng
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

GAN MEMORY WITH NO FORGETTING

von Cong, Yulai
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

KERNEL-BASED APPROACHES FOR SEQUENCE MODELING: CONNECTIONS TO NEURAL METHODS

von Liang, Kevin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 5 of 20 (2020)

CALIBRATING CNNS FOR LIFELONG LEARNING

von Singh, Pravendra
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 19 of 27 (2021)

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

von Varshney, Sakshi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

von Chen, Junya
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

GRAPH OPTIMAL TRANSPORT FOR CROSS-DOMAIN ALIGNMENT

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

AUTOSYNC: LEARNING TO SYNCHRONIZE FOR DATA-PARALLEL DISTRIBUTED DEEP LEARNING

von Zhang, Hao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

PERTURBING ACROSS THE FEATURE HIERARCHY TO IMPROVE STANDARD AND STRICT BLACKBOX ATTACK TRANSFERABILITY

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

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

von Dai, Shuyang
Veröffentlicht in ACCV (15. : 2020 : Online) Computer vision - ACCV 2020 ; Part 4 (2021)

RECONSIDERING GENERATIVE OBJECTIVES FOR COUNTERFACTUAL REASONING

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

CLUB: A CONTRASTIVE LOG-RATIO UPPER BOUND OF MUTUAL INFORMATION

von Cheng, Pengyu
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 3 of 15 (2021)

Ultra-wideband, short-pulse electromagnetics 2 : [proceedings of the Second International Conference on Ultra-Wideband, Short-Pulse Electromagnetics, held April 7 - 9, 1994, at W...

Veröffentlicht 1995