UNSUPERVISED DATA AUGMENTATION FOR CONSISTENCY TRAINING

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27
1. Verfasser: Xie, Oizhe (VerfasserIn)
Weitere Verfasser: Dai, Zihang (VerfasserIn), Hovy, Eduard (VerfasserIn), Luong, Thang (VerfasserIn), Le, Quoc (VerfasserIn)
Pages:34
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
ON TESTING OF SAMPLERS 2021 Meel, Kuldeep S.
BAYESIAN BITS: UNIFYING QUANTIZATION AND PRUNING 2021 Baalen, Mart Van
MINILM: DEEP SELF-ATTENTION DISTILLATION FOR TASK-AGNOSTIC COMPRESSION OF PRE-TRAINED TRANSFORMERS 2021 Wang, Wenhui
GRAPH CONTRASTIVE LEARNING WITH AUGMENTATIONS 2021 You, Yuning
BAYESIAN CAUSAL STRUCTURAL LEARNING WITH ZERO-INFLA TED POISSON BAYESIAN NETWORKS 2021 Choi, Junsouk
DIFFERENTIALLY-PRIVATE FEDERATED LINEAR BANDITS 2021 Dubey, Abhimanyu
DEEP GRAPH POSE: A SEMI-SUPERVISED DEEP GRAPHICAL MODEL FOR IMPROVED ANIMAL POSE TRACKING 2021 Wu, Angi
HOW DOES THIS INTERACTION AFFECT ME? INTERPRETABLE ATTRIBUTION FOR FEATURE INTERACTIONS 2021 Tsang, Michael
WAVELET FLOW: FAST TRAINING OF HIGH RESOLUTION NORMALIZING FLOWS 2021 Yu, Jason J.
LEARNING KERNEL TESTS WITHOUT DATA SPLITTING 2021 Kübler, Jonas
DETECTING INTERACTIONS FROM NEURAL NETWORKS VIA TOPOLOGICAL ANALYSIS 2021 Liu, Zirui
A SIMPLE AND EFFICIENT SMOOTHING METHOD FOR FASTER OPTIMIZATION AND LOCAL EXPLORATION 2021 Scaman, Kevin
GAUSSIAN PROCESS BANDIT OPTIMIZATION OF THE THERMODYNAMIC VARIATIONAL OBJECTIVE 2021 Nguyen, Yu
WOODBURY TRANSFORMATIONS FOR DEEP GENERATIVE FLOWS 2021 Lu, You
STOCHASTIC DEEP GAUSSIAN PROCESSES OVER GRAPHS 2021 Li, Naiqi
GRAPH META LEARNING VIA LOCAL SUBGRAPHS 2021 Huang, Kexin
REVISITING PARAMETER SHARING FOR AUTOMATIC NEURAL CHANNEL NUMBER SEARCH 2021 Wang, Jiaxing
SOLVER-IN-THE-LOOP: LEARNING FROM DIFFERENTIABLE PHYSICS TO INTERACT WITH ITERATIVE PDE-SOLVERS 2021 Um, Kiwon
UNSUPERVISED DATA AUGMENTATION FOR CONSISTENCY TRAINING 2021 Xie, Oizhe
MINIBATCH VS LOCAL SGD FOR HETEROGENEOUS DISTRIBUTED LEARNING 2021 Woodworth, Blake E.
Alle Artikel auflisten