PROVABLY ROBUST METRIC LEARNING
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2021 |
Wang, Lu |
RETHINKING THE VALUE OF LABELS FOR IMPROVING CLASS-IMBALANCED LEARNING
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2021 |
Yang, Yuzhe |
COPT: COORDINATED OPTIMAL TRANSPORT ON GRAPHS
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2021 |
Dong, Yihe |
NEAR-OPTIMAL COMPARISON BASED CLUSTERING
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2021 |
Perrot, Michael |
TAYLORGAN: NEIGHBOR-AUGMENTED POLICY UPDATE TOWARDS SAMPLE-EFFICIENT NATURAL LANGUAGE GENERATION
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2021 |
Lin, Chun-Hsing |
A NEW CONVERGENT VARIANT OF Q-LEARNING WITH LINEAR FUNCTION APPROXIMATION
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2021 |
Carvalho, Diogo |
DUAL-FREE STOCHASTIC DECENTRALIZED OPTIMIZATION WITH VARIANCE REDUCTION
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2021 |
Hendrikx, Hadrien |
ONLINE LEARNING IN CONTEXTUAL BANDITS USING GATED LINEAR NETWORKS
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2021 |
Sezener, Eren |
UNIFYING ACTIVATION- AND TIMING-BASED LEARNING RULES FOR SPIKING NEURAL NETWORKS
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2021 |
Kim, Jinseok |
SPACE-TIME CORRESPONDENCE AS A CONTRASTIVE RANDOM WALK
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2021 |
Jabri, Allan |
AN EFFICIENT FRAMEWORK FOR CLUSTERED FEDERATED LEARNING
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2021 |
Ghosh, Avishek |
HYDRA: PRUNING ADVERSARIALLY ROBUST NEURAL NETWORKS
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2021 |
Sehwag, Vikash |
COUNTERFACTUAL PREDICTION FOR BUNDLE TREATMENT
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2021 |
Zou, Hao |
WHAT DO NEURAL NETWORKS LEARN WHEN TRAINED WITH RANDOM LABELS?
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2021 |
Maennel, Hartmut |
BETA EMBEDDINGS FOR MULTI-HOP LOGICAL REASONING IN KNOWLEDGE GRAPHS
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2021 |
Ren, Hongyu |
CAN TEMPORAL-DIFFERENCE AND Q-LEARNING LEARN REPRESENTATION? A MEAN-FIELD THEORY
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2021 |
Zhang, Yufeng |
WISDOM OF THE ENSEMBLE: IMPROVING CONSISTENCY OF DEEP LEARNING MODELS
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2021 |
Wang, Lijing |
UNIVERSAL FUNCTION APPROXIMATION ON GRAPHS
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2021 |
Gabrielsson, Rickard Brüel |
COMPARATOR-ADAPTIVE CONVEX BANDITS
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2021 |
Hoeven, Dirk Van Der |
MODEL-BASED REINFORCEMENT LEARNING FOR SEMI-MARKOV DECISION PROCESSES WITH NEURAL ODES
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2021 |
Du, Jianzhun |