HYPERPARAMETER ENSEMBLES FOR ROBUSTNESS AND UNCERTAINTY QUANTIFICATION

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: Wenzel, Florian (VerfasserIn)
Weitere Verfasser: Snoek, Jasper (VerfasserIn), Tran, Dustin (VerfasserIn), Jenatton, Rodolphe (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
EVALUATING ATTRIBUTION FOR GRAPH NEURAL NETWORKS 2021 Sanchez-Lengeling, Benjamin
STOCHASTIC NORMALIZING FLOWS 2021 Wu, Hao
RANDOM RESHUFFLING IS NOT ALWAYS BETTER 2021 Sa, Christopher M. De
GPU-ACCELERATED PRIMAL LEARNING FOR EXTREMELY FAST LARGE-SCALE CLASSIFICATION 2021 Halloran, John T.
NEUMISS NETWORKS: DIFFERENTIABLE PROGRAMMING FOR SUPERVISED LEARNING WITH MISSING VALUES 2021 Morvan, Marine Le
LEARNING PHYSICAL GRAPH REPRESENTATIONS FROM VISUAL SCENES 2021 Bear, Daniel
ESTIMATING DECISION TREE LEARNABILITY WITH POLYLOGARITHMIC SAMPLE COMPLEXITY 2021 Blanc, Guy
CONTINUOUS OBJECT REPRESENTATION NETWORKS: NOVEL VIEW SYNTHESIS WITHOUT TARGET VIEW SUPERVISION 2021 Hani, Nicolai
Alle Artikel auflisten