WHAT DO NEURAL NETWORKS LEARN WHEN TRAINED WITH RANDOM LABELS?

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27
1. Verfasser: Maennel, Hartmut (VerfasserIn)
Weitere Verfasser: Alabdulmohsin, Ibrahim M. (VerfasserIn), Tolstikhin, Ilya O. (VerfasserIn), Baldock, Robert (VerfasserIn), Bousquet, Olivier (VerfasserIn), Gelly, Sylvain (VerfasserIn), Keysers, Daniel (VerfasserIn)
Pages:34
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
NEURAL NETWORKS WITH SMALL WEIGHTS AND DEPTH-SEPARATION BARRIERS 2021 Vardi, Gal
QUANTIZED VARIATIONAL INFERENCE 2021 Dib, Amir
FEATURE SHIFT DETECTION: LOCALIZING WHICH FEATURES HAVE SHIFTED VIA CONDITIONAL DISTRIBUTION TESTS 2021 Kulinski, Sean
EXPONENTIAL ERGODICITY OF MIRROR-LANGEVIN DIFFUSIONS 2021 Chewi, Sinho
PARAMETERIZED EXPLAINER FOR GRAPH NEURAL NETWORK 2021 Luo, Dongsheng
FLEXIBLE MEAN FIELD VARIATIONAL INFERENCE USING MIXTURES OF NON- OVERLAPPING EXPONENTIAL FAMILIES 2021 Spence, Jeffrey
NVAE: A DEEP HIERARCHICAL VARIATIONAL AUTOENCODER 2021 Vahdat, Arash
LEARNING LINEAR PROGRAMS FROM OPTIMAL DECISIONS 2021 Tan, Yingcong
EVOLVEGRAPH: MULTI-AGENT TRAJECTORY PREDICTION WITH DYNAMIC RELATIONAL REASONING 2021 Li, Jiachen
ACCELERATING REINFORCEMENT LEARNING THROUGH GPU ATARI EMULATION 2021 Dalton, Steven
THE ADAPTIVE COMPLEXITY OF MAXIMIZING A GROSS SUBSTITUTES VALUATION 2021 Kupfer, Ron
GRAPH STOCHASTIC NEURAL NETWORKS FOR SEMI-SUPERVISED LEARNING 2021 Wang, Haibo
REINFORCEMENT LEARNING WITH AUGMENTED DATA 2021 Laskin, Misha
BETA R-CNN: LOOKING INTO PEDESTRIAN DETECTION FROM ANOTHER PERSPECTIVE 2021 Xu, Zixuan
ADVERSARIAL BANDITS WITH CORRUPTIONS: REGRET LOWER BOUND AND NO-REGRET ALGORITHM 2021 Yang, Lin
BLACK-BOX RIPPER: COPYING BLACK-BOX MODELS USING GENERATIVE EVOLUTIONARY ALGORITHMS 2021 Barbalau, Antonio
A CLASS OF ALGORITHMS FOR GENERAL INSTRUMENTAL VARIABLE MODELS 2021 Kilbertus, Niki
MODEL RUBIK’S CUBE: TWISTING RESOLUTION, DEPTH AND WIDTH FOR TINYNETS 2021 Han, Kai
EFFECTIVE DIMENSION ADAPTIVE SKETCHING METHODS FOR FASTER REGULARIZED LEAST-SQUARES OPTIMIZATION 2021 Lacotte, Jonathan
MULTI-TASK TEMPORAL SHIFT ATTENTION NETWORKS FOR ON-DEVICE CONTACTLESS VITALS MEASUREMENT 2021 Liu, Xin
Alle Artikel auflisten