INDUCTIVE QUANTUM EMBEDDING

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27
1. Verfasser: Srivastava, Santosh Kumar (VerfasserIn)
Weitere Verfasser: Khandelwal, Dinesh (VerfasserIn), Madan, Dhiraj (VerfasserIn), Garg, Dinesh (VerfasserIn), Karanam, Hima (VerfasserIn), Subramaniam, L. Venkata (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 THE EXPRESSIVENESS OF APPROXIMATE INFERENCE IN BAYESIAN NEURAL NETWORKS 2021 Foong, Andrew
LEARNING TO UTILIZE SHAPING REWARDS: A NEW APPROACH OF REWARD SHAPING 2021 Hu, Yujing
THE DIVERSIFIED ENSEMBLE NEURAL NETWORK 2021 Zhang, Shaofeng
INDUCTIVE QUANTUM EMBEDDING 2021 Srivastava, Santosh Kumar
VARIATIONAL BAYESIAN UNLEARNING 2021 Nguyen, Quoc Phong
COMPRESSING IMAGES BY ENCODING THEIR LATENT REPRESENTATIONS WITH RELATIVE ENTROPY CODING 2021 Flamich, Gergely
IMPROVED GUARANTEES FOR K-MEANS++ AND K-MEANS++ PARALLEL 2021 Makarychev, Konstantin
EXPLORE AGGRESSIVELY, UPDATE CONSERVATIVELY: STOCHASTIC EXTRAGRADIENT METHODS WITH VARIABLE STEPSIZE SCALING 2021 Hsieh, Yu-Guan
CONSTRAINED EPISODIC REINFORCEMENT LEARNING IN CONCAVE-CONVEX AND KNAPSACK SETTINGS 2021 Brantley, Kiante
CROSS-VALIDATION CONFIDENCE INTERVALS FOR TEST ERROR 2021 Bayle, Pierre
ROBUSTNESS ANALYSIS OF NON-CONVEX STOCHASTIC GRADIENT DESCENT USING BIASED EXPECTATIONS 2021 Scaman, Kevin
GREEDY OPTIMIZATION PROVABLY WINS THE LOTTERY: LOGARITHMIC NUMBER OF WINNING TICKETS IS ENOUGH 2021 Ye, Mao
ESTIMATING THE EFFECTS OF CONTINUOUS-VALUED INTERVENTIONS USING GENERATIVE ADVERSARIAL NETWORKS 2021 Bica, Toana
CONVEX OPTIMIZATION BASED ON GLOBAL LOWER SECOND-ORDER MODELS 2021 Doikov, Nikita
PREDICTIVE CODING IN BALANCED NEURAL NETWORKS WITH NOISE, CHAOS AND DELAYS 2021 Kadmon, Jonathan
ON THE EQUIVALENCE BETWEEN ONLINE AND PRIVATE LEARNABILITY BEYOND BINARY CLASSIFICATION 2021 Jung, Young
AVID DATASET: ANONYMIZED VIDEOS FROM DIVERSE COUNTRIES 2021 Piergiovanni, Aj
DARK EXPERIENCE FOR GENERAL CONTINUAL LEARNING: A STRONG, SIMPLE BASELINE 2021 Buzzega, Pietro
NON-CROSSING QUANTILE REGRESSION FOR DISTRIBUTIONAL REINFORCEMENT LEARNING 2021 Zhou, Fan
DECENTRALIZED LANGEVIN DYNAMICS FOR BAYESIAN LEARNING 2021 Parayil, Anjaly
Alle Artikel auflisten