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2021 |
Yan, Yan |
BAYESIAN PROBABILISTIC NUMERICAL INTEGRATION WITH TREE-BASED MODELS
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2021 |
Zhu, Harrison |
DEEP LEARNING VERSUS KERNEL LEARNING: AN EMPIRICAL STUDY OF LOSS LANDSCAPE GEOMETRY AND THE TIME EVOLUTION OF THE NEURAL TANGENT KERNEL
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2021 |
Fort, Stanislav |
GRADIENT SURGERY FOR MULTI-TASK LEARNING
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2021 |
Yu, Tianhe |
ON SECOND ORDER BEHAVIOUR IN AUGMENTED NEURAL ODES
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2021 |
Norcliffe, Alexander |
NEURON SHAPLEY: DISCOVERING THE RESPONSIBLE NEURONS
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2021 |
Ghorbani, Amirata |
MODEL AGNOSTIC MULTILEVEL EXPLANATIONS
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2021 |
Ramamurthy, Karthikeyan Natesan |
IS PLUG-IN SOLVER SAMPLE-EFFICIENT FOR FEATURE-BASED REINFORCEMENT LEARNINGH?
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2021 |
Cui, Qiwen |
META-LEARNING FROM TASKS WITH HETEROGENEOUS ATTRIBUTE SPACES
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2021 |
Iwata, Tomoharu |
SPARSE SYMPLECTICALLY INTEGRATED NEURAL NETWORKS
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2021 |
Dipietro, Daniel |
MULTIMODAL GENERATIVE LEARNING UTILIZING JENSEN-SHANNON-DIVERGENCHE
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2021 |
Sutter, Thomas |
NEUROSYMBOLIC REINFORCEMENT LEARNING WITH FORMALLY VERIFIED EXPLORATION
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2021 |
Anderson, Greg |
DEMIXED SHARED COMPONENT ANALYSIS OF NEURAL POPULATION DATA FROM MULTIPLE BRAIN AREAS
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2021 |
Takagi, Yu |
BENCHMARKING DEEP LEARNING INTERPRETABILITY IN TIME SERIES PREDICTIONS
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2021 |
Ismail, Aya Abdelsalam |
NEUTRALIZING SELF-SELECTION BIAS IN SAMPLING FOR SORTITION
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2021 |
Flanigan, Bailey |
GAUSSIAN PROCESS BANDIT OPTIMIZATION OF THE THERMODYNAMIC VARIATIONAL OBJECTIVE
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2021 |
Nguyen, Yu |
WOODBURY TRANSFORMATIONS FOR DEEP GENERATIVE FLOWS
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2021 |
Lu, You |
STOCHASTIC DEEP GAUSSIAN PROCESSES OVER GRAPHS
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2021 |
Li, Naiqi |
GRAPH META LEARNING VIA LOCAL SUBGRAPHS
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2021 |
Huang, Kexin |
REVISITING PARAMETER SHARING FOR AUTOMATIC NEURAL CHANNEL NUMBER SEARCH
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2021 |
Wang, Jiaxing |