MULTI-VIEW REINFORCEMENT LEARNING

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Veröffentlicht in:NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20
1. Verfasser: Li, Minne (VerfasserIn)
Weitere Verfasser: Wu, Lisheng (VerfasserIn), Wang, Jun (VerfasserIn), Ammar, Haitham Bou (VerfasserIn)
Pages:32
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
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Titel Jahr Verfasser
VOLUMETRIC CORRESPONDENCE NETWORKS FOR OPTICAL FLOW 2020 Yang, Gengshan
FAST LOW-RANK METRIC LEARNING FOR LARGE-SCALE AND HIGH-DIMENSIONAL DATA 2020 Liu, Han
NEURVPS: NEURAL VANISHING POINT SCANNING VIA CONIC CONVOLUTION 2020 Zhou, Yichao
DATA: DIFFERENTIABLE ARCHITECTURE APPROXIMATION 2020 Chang, Jianlong
LEARN, IMAGINE AND CREATE: TEXT-TO-IMAGE GENERATION FROM PRIOR KNOWLEDGE 2020 Qiao, Tingting
CORRELATED UNCERTAINTY FOR LEARNING DENSE CORRESPONDENCES FROM NOISY LABELS 2020 Neverova, Natalia
MEMORY-ORIENTED DECODER FOR LIGHT FIELD SALIENT OBJECT DETECTION 2020 Zhang, Miao
POWERSET CONVOLUTIONAL NEURAL NETWORKS 2020 Wendler, Chris
AN ACCELERATED DECENTRALIZED STOCHASTIC PROXIMAL ALGORITHM FOR FINITE SUMS 2020 Hendrikx, Hadrien
DEEP LEARNING WITHOUT WEIGHT TRANSPOR 2020 Akrout, Mohamed
DEEP SUPERVISED SUMMARIZATION: ALGORITHM AND APPLICATION TO LEARNING INSTRUCTIONS 2020 Xu, Chengguang
SCENE REPRESENTATION NETWORKS: CONTINUOUS 3D-STRUCTURE-AWARE NEURAL SCENE REPRESENTATIONS 2020 Sitzmann, Vincent
NON-ASYMPTOTIC GAP-DEPENDENT REGRET BOUNDS FOR TABULAR MDTPS 2020 Simchowitz, Max
OPTIMAL STATISTICAL RATES FOR DECENTRALISED NON-PARAMETRIC REGRESSION WITH LINEAR SPEED-UP 2020 Richards, Dominic
CONDCONV: CONDITIONALLY PARAMETERIZED CONVOLUTIONS FOR EFFICIENT INFERENCE 2020 Yang, Brandon
TWIN AUXILARY CLASSIFIERS GAN 2020 Gong, Mingming
CONDITIONAL STRUCTURE GENERATION THROUGH GRAPH VARIATIONAL GENERATIVE ADVERSARIAL NETS 2020 Yang, Carl
EXTENDING STEIN'S UNBIASED RISK ESTIMATOR TO TRAIN DEEP DENOISERS WITH CORRELATED PAIRS OF NOISY IMAGES 2020 Zhussip, Magauiya
FIXING IMPLICIT DERIVATIVES: TRUST-REGION BASED LEARNING OF CONTINUOUS ENERGY FUNCTIONS 2020 Russell, Chris
HYPERGCN: A NEW METHOD FOR TRAINING GRAPH CONVOLUTIONAL NETWORKS ON HYPERGRAPHS 2020 Yadati, Naganand
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