KERNELIZED BAYESIAN SOFTMAX FOR TEXT GENERATION

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20
1. Verfasser: Miao, Ning (VerfasserIn)
Weitere Verfasser: Zhou, Hao (VerfasserIn), Zhao, Chengqi (VerfasserIn), Shi, Wenxian (VerfasserIn), Li, Lei (VerfasserIn)
Pages:32
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
CONNECTIONS BETWEEN MIRROR DESCENT, THOMPSON SAMPLING AND THE INFORMATION 2020 Zimmert, Julian
LEARNING TO CONFUSE: GENERATING TRAINING TIME ADVERSARIAL DATA WITH AUTO-ENCODER 2020 Feng, Ji
FAST AND PROVABLE ADMM FOR LEARNING WITH GENERATIVE PRIORS 2020 Latorre, Fabian
ADAPTIVE DENSITY ESTIMATION FOR GENERATIVE MODELS ............ 2020 Lucas, Thomas
WEIGHTED LINEAR BANDITS FOR NON-STATIONARY ENVIRONMENTS 2020 Russac, Yoan
COUNTING THE OPTIMAL SOLUTIONS IN GRAPHICAL MODELS 2020 Marinescu, Radu
BOOTSTRAPPING UPPER CONFIDENCE BOUND 2020 Hao, Botao
DEEP MULTIMODAL MULTILINEAR FUSION WITH HIGH-ORDER POLYNOMIAL POOLING 2020 Hou, Ming
TIGHT REGRET BOUNDS FOR MODEL-BASED REINFORCEMENT LEARNING WITH GREEDY POLICIES 2020 Efroni, Yonathan
THINK OUT OF THE "BOX": GENERICALLY-CONSTRAINED ASYNCHRONOUS COMPOSITE OPTIMIZATION AND HEDGING 2020 Joulani, Pooria
CALIBRATION TESTS IN MULTI-CLASS CLASSIFICATION: A UNIFYING FRAMEWORK 2020 Widmann, David
TREE-SLICED VARIANTS OF WASSERSTEIN DISTANCES vote PE VON 2020 Le, Tam
COMPARING DISTRIBUTIONS: L 1 GEOMETRY IMPROVES KERNEL TWO-SAMPLE TESTING 2020 Scetbon, Meyer
STRUCTURED VARIATIONAL INFERENCE IN CONTINUOUS COX PROCESS MODELS 2020 Aglietti, Virginia
GENERALIZATION OF REINFORCEMENT LEARNERS WITH WORKING AND EPISODIC MEMORY 2020 Fortunato, Meire
EFFICIENT IDENTIFICATION IN LINEAR STRUCTURAL CAUSAL MODELS WITH INSTRUMENTAL CUTSETS 2020 Kumor, Daniel
WHEN TO TRUST YOUR MODEL: MODEL-BASED POLICY OPTIMIZATION 2020 Janner, Michael
CONTINUOUS-TIME MODELS FOR STOCHASTIC OPTIMIZATION ALGORITHMS 2020 Orvieto, Antonio
IMPLICIT SEMANTIC DATA AUGMENTATION FOR DEEP NETWORKS 2020 Wang, Yulin
SHADOWING PROPERTIES OF OPTIMIZATION ALGORITHMS 2020 Orvieto, Antonio
Alle Artikel auflisten