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2020 |
Karami, Mahdi |
LEARNING DISENTANGLED REPRESENTATIONS FOR RECOMMENDATION
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2020 |
Ma, Jianxin |
CO-GENERATION WITH GANS USING AIS BASED HMC
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2020 |
Fang, Tiantian |
GENERALIZED BLOCK-DIAGONAL STRUCTURE PURSUIT: LEARNING SOFT LATENT TASK ASSIGNMENT AGAINST NEGATIVE TRANSFER
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2020 |
Yang, Zhiyong |
LEARNING BY ABSTRACTION: THE NEURAL STATE MACHINE
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2020 |
Hudson, Drew |
EFFICIENTLY ESCAPING SADDLE POINTS ON MANIFOLDS
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2020 |
Criscitiello, Christopher |
DEEP ACTIVE LEARNING WITH A NEURAL ARCHITECTURE SEARCH
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2020 |
Geifinan, Yonatan |
LEARNING DYNAMICS OF ATTENTION: HUMAN PRIOR FOR INTERPRETABLE MACHINE REASONING
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2020 |
Kim, Wonjae |
DYNAMIC ENSEMBLE MODELING APPROACH TO NONSTATIONARY NEURAL DECODING IN BRAIN-COMPUTER INTERFACES
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2020 |
Qi, Yu |
DUAL ADVERSARIAL SEMANTICS-CONSISTENT NETWORK FOR GENERALIZED ZERO-SHOT LEARNING
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2020 |
Ni, Jian |
FULLY PARAMETERIZED QUANTILE FUNCTION FOR DISTRIBUTIONAL REINFORCEMENT LEARNING
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2020 |
Yang, Derek |
DEEP MODEL TRANSFERABILITY FROM ATTRIBUTION MAPS
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2020 |
Song, Jie |
LDMI: A NOVEL INFORMATION-THEORETIC LOSS FUNCTION FOR TRAINING DEEP NETS ROBUST TO LABEL NOISE
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2020 |
Xu, Yilun |
BAYESIAN LEARNING OF SUM-PRODUCT NETWORKS
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2020 |
Trapp, Martin |
OPTIMAL SPARSITY-SENSITIVE BOUNDS FOR DISTRIBUTED MEAN ESTIMATION
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2020 |
Huang, Zengfeng |
A LATENT VARIATIONAL FRAMEWORK FOR STOCHASTIC OPTIMIZATION
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2020 |
Casgrain, Philippe |
LIMITING EXTRAPOLATION IN LINEAR APPROXIMATE VALUE ITERATION
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2020 |
Zanette, Andrea |
PUSH-PULL FEEDBACK IMPLEMENTS HIERARCHICAL INFORMATION RETRIEVAL EFFICIENTLY
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2020 |
Liu, Xiao |
LEARNING GANS AND ENSEMBLES USING DISCREPANCY
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2020 |
Adlam, Ben |
ATTENTIONXML: LABEL TREE-BASED ATTENTION-AWARE DEEP MODEL FOR HIGH- PERFORMANCE EXTREME MULTI-LABEL TEXT CLASSIFICATION
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2020 |
You, Ronghui |