UNSUPERVISED TEXT GENERATION BY LEARNING FROM SEARCH
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2021 |
Li, Jingjing |
UNDERSTANDING APPROXIMATE FISHER INFORMATION FOR FAST CONVERGENCE OF NATURAL GRADIENT DESCENT IN WIDE NEURAL NETWORKS
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2021 |
Karakida, Ryo |
SURF: A SIMPLE, UNIVERSAL, ROBUST, FAST DISTRIBUTION LEARNING ALGORITHM
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2021 |
Hao, Yi |
SOFT CONTRASTIVE LEARNING FOR VISUAL LOCALIZATION
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2021 |
Thoma, Janine |
FINE-GRAINED DYNAMIC HEAD FOR OBJECT DETECTION
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2021 |
Song, Lin |
ON ADAPTIVE DISTANCE ESTIMATION
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2021 |
Cherapanamjeri, Yeshwanth |
MODELING AND OPTIMIZATION TRADE-OFF IN META-LEARNING
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2021 |
Gao, Katelyn |
IMPROVED SAMPLE COMPLEXITY FOR INCREMENTAL AUTONOMOUS EXPLORATION IN MDPS
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2021 |
Tarbouriech, Jean |
SELF-PACED CONTRASTIVE LEARNING WITH HYBRID MEMORY FOR DOMAIN ADAPTIVE OBJECT RE-ID
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2021 |
Ge, Yixiao |
SMOOTH AND CONSISTENT PROBABILISTIC REGRESSION TREES
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2021 |
Alkhoury, Sami |
JOINTS IN RANDOM FORESTS
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2021 |
Correia, Alvaro |
JAX MD: A FRAMEWORK FOR DIFFERENTIABLE PHYSICS
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2021 |
Schoenholz, Samuel |
IMPROVING ROBUSTNESS AGAINST COMMON CORRUPTIONS BY COVARIATE SHIFT ADAPTATION
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2021 |
Schneider, Steffen |
SPARSE LEARNING WITH CART
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2021 |
Klusowski, Jason |
DEEP ACTIVE INFERENCE AGENTS USING MONTE-CARLO METHODS
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2021 |
Fountas, Zafeirios |
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 |