ROBUST-ADAPTIVE CONTROL OF LINEAR SYSTEMS: BEYOND QUADRATIC COSTS
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2021 |
Leurent, Edouard |
COMPLEX DYNAMICS IN SIMPLE NEURAL NETWORKS: UNDERSTANDING GRADIENT FLOW IN PHASE RETRIEVAL
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2021 |
Mannelli, Stefano Sarao |
SELF-DISTILLATION AMPLIFIES REGULARIZATION IN HILBERT SPACE
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2021 |
Mobahi, Hossein |
COUPLING-BASED INVERTIBLE NEURAL NETWORKS ARE UNIVERSAL DIFFEOMORPHISM APPROXIMATORS
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2021 |
Teshima, Takeshi |
INPUT-AWARE DYNAMIC BACKDOOR ATTACK
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2021 |
Nguyen, Tuan Anh |
HOW HARD IS TO DISTINGUISH GRAPHS WITH GRAPH NEURAL NETWORKS?
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2021 |
Loukas, Andreas |
CLASSIFICATION WITH VALID AND ADAPTIVE COVERAGE
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2021 |
Romano, Yaniv |
LEARNING GLOBAL TRANSPARENT MODELS CONSISTENT WITH LOCAL CONTRASTIVE EXPLANATIONS
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2021 |
Pedapati, Tejaswini |
LEARNING TO APPROXIMATE A BREGMAN DIVERGENCE
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2021 |
Siahkamari, Ali |
CONTINUAL LEARNING WITH NODE-IMPORTANCE BASED ADAPTIVE GROUP SPARSE REGULARIZATION
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2021 |
Jung, Sangwon |
ON RANKING VIA SORTING BY ESTIMATED EXPECTED UTILITY
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2021 |
Calauzenes, Clement |
DISTRIBUTION-FREE BINARY CLASSIFICATION: PREDICTION SETS, CONFIDENCE INTERVALS AND CALIBRATION
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2021 |
Gupta, Chirag |
SUBMODULAR META-LEARNING
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2021 |
Adibi, Arman |
ADAPTIVE DISCRETIZATION FOR MODEL-BASED REINFORCEMENT LEARNING
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2021 |
Sinclair, Sean |
LEARNING ABOUT OBJECTS BY LEARNING TO INTERACT WITH THEM
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2021 |
Lohmann, Martin |
TEACHING A GAN WHAT NOT TO LEARN
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2021 |
Asokan, Siddarth |
DISSECTING NEURAL ODES
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2021 |
Massaroli, Stefano |
RETHINKING LEARNABLE TREE FILTER FOR GENERIC FEATURE TRANSFORM
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2021 |
Song, Lin |
REINFORCEMENT LEARNING FOR CONTROL WITH MULTIPLE FREQUENCIES
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2021 |
Lee, Jongmin |
AN OPERATOR VIEW OF POLICY GRADIENT METHODS
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2021 |
Ghosh, Dibya |