QUATERNION KNOWLEDGE GRAPH EMBEDDINGS

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Veröffentlicht in:NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 4 of 20
1. Verfasser: Zhang, Shuai (VerfasserIn)
Weitere Verfasser: Tay, Yi (VerfasserIn), Yao, Lina (VerfasserIn), Liu, Qi (VerfasserIn)
Pages:32
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
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Titel Jahr Verfasser
GRADIENT INFORMATION FOR REPRESENTATION AND MODELING 2020 Ding, Jie
BACKPROP WITH APPROXIMATE ACTIVATIONS FOR MEMORY-EFFICIENT NETWORK TRAINING 2020 Chakrabarti, Ayan
MINIMAX OPTIMAL ESTIMATION OF APPROXIMATE DIFFERENTIAL PRIVACY ON NEIGHBORING DATABASES 2020 Liu, Xiyang
CONFORMAL PREDICTION UNDER COVARIATE SHIFT 2020 Tibshirani, Ryan J.
DIRECT ESTIMATION OF DIFFERENTIAL FUNCTIONAL GRAPHICAL MODELS 2020 Zhao, Boxin
TURBO AUTOENCODER: DEEP LEARNING BASED CHANNEL CODES FOR POINT-TO-POINT COMMUNICATION CHANNELS 2020 Jiang, Yihan
HETEROGENEOUS GRAPH LEARNING FOR VISUAL COMMONSENSE REASONING 2020 Yu, Weijiang
IDENTIFYING CAUSAL EFFECTS VIA CONTEXT-SPECIFIC INDEPENDENCE RELATIONS 2020 Tikka, Santtu
SAFE EXPLORATION FOR INTERACTIVE MACHINE LEARNING 2020 Turchetta, Matteo
IMPLICIT REGULARIZATION FOR OPTIMAL SPARSE RECOVERY 2020 Vaskevicius, Tomas
LOCALLY PRIVATE GAUSSIAN ESTIMATION 2020 Joseph, Matthew
SPATIALLY AGGREGATED GAUSSIAN PROCESSES WITH MULTIVARIATE AREAL OUTPUTS 2020 Tanaka, Yusuke
LEARNING TEMPORAL POSE ESTIMATION FROM SPARSELY-LABELED VIDEOS 2020 Bertasius, Gedas
SCALABLE GROMOV-WASSERSTEIN LEARNING FOR GRAPH PARTITIONING AND MATCHING 2020 Xu, Hongteng
REAL-TIME REINFORCEMENT LEARNING 2020 Ramstedt, Simon
ROBUST MULTI-AGENT COUNTERFACTUAL PREDICTION 2020 Peysakhovich, Alexander
INDIVIDUAL REGRET IN COOPERATIVE NONSTOCHASTIC MULTI-ARMED BANDITS 2020 Bar-On, Yogev
THOMPSON SAMPLING FOR MULTINOMIAL LOGIT CONTEXTUAL BANDITS 2020 Oh, Min-Hwan
CONVERGENT POLICY OPTIMIZATION FOR SAFE REINFORCEMENT LEARNING 2020 Yu, Ming
SPIDERBOOST AND MOMENTUM: FASTER VARIANCE REDUCTION ALGORITHMS 2020 Wang, Zhe
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