LEARNING COMPOSITIONAL RULES VIA NEURAL PROGRAM SYNTHESIS
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2021 |
Nye, Maxwell |
ESTIMATING FLUCTUATIONS IN NEURAL REPRESENTATIONS OF UNCERTAIN ENVIRONMENTS
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2021 |
Farhoodi, Sahand |
DISCOVER, HALLUCINATE, AND ADAPT: OPEN COMPOUND DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION
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2021 |
Park, Kwanyong |
GAIT-PROP: A BIOLOGICALLY PLAUSIBLE LEARNING RULE DERIVED FROM BACKPROPAGATION OF ERROR
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2021 |
Ahmad, Nasir |
ROBUST, ACCURATE STOCHASTIC OPTIMIZATION FOR VARIATIONAL INFERENCE
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2021 |
Dhaka, Akash Kumar |
LEARNING SOME POPULAR GAUSSIAN GRAPHICAL MODELS WITHOUT CONDITION NUMBER BOUNDS
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2021 |
Kelner, Jonathan |
A DECENTRALIZED PARALLEL ALGORITHM FOR TRAINING GENERATIVE ADVERSARIAL NETS
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2021 |
Liu, Mingrui |
HYBRID VARIANCE-REDUCED SGD ALGORITHMS FOR MINIMAX PROBLEMS WITH NONCONVEX-LINEAR FUNCTION
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2021 |
Dinh, Quoc Tran |
LOCO: LOCAL CONTRASTIVE REPRESENTATION LEARNING
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2021 |
Xiong, Yuwen |
SNAPBOOST: A HETEROGENEOUS BOOSTING MACHINE
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2021 |
Parnell, Thomas |
STAGE-WISE CONSERVATIVE LINEAR BANDITS
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2021 |
Moradipari, Ahmadreza |
VAEM: A DEEP GENERATIVE MODEL FOR HETEROGENEOUS MIXED TYPE DATA
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2021 |
Ma, Chao |
TINYTL: REDUCE MEMORY, NOT PARAMETERS FOR EFFICIENT ON-DEVICE LEARNING
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2021 |
Cai, Han |
FAIRNESS CONSTRAINTS CAN HELP EXACT INFERENCE IN STRUCTURED PREDICTION
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2021 |
Bello, Kevin |
WINNING THE LOTTERY WITH CONTINUOUS SPARSIFICATION
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2021 |
Savarese, Pedro |
COMPUTING VALID P-VALUE FOR OPTIMAL CHANGEPOINT BY SELECTIVE INFERENCE USING DYNAMIC PROGRAMMING
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2021 |
Duy, Vo Nguyen Le |
COMPOSITIONAL GENERALIZATION BY LEARNING ANALYTICAL EXPRESSIONS
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2021 |
Liu, Qian |
LOOK-AHEAD META LEARNING FOR CONTINUAL LEARNING
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2021 |
Gupta, Gunshi |
PROVABLE ONLINE CP/PARAFAC DECOMPOSITION OF A STRUCTURED TENSOR VIA DICTIONARY LEARNING
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2021 |
Rambhatla, Sirisha |
PROXIMAL MAPPING FOR DEEP REGULARIZATION
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2021 |
Li, Mao |