A SIMPLE FRAMEWORK FOR CONTRASTIVE LEARNING OF VISUAL REPRESENTATIONS
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2021 |
Chen, T. |
NEGATIVE SAMPLING IN SEMI-SUPERVISED LEARNING
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2021 |
Chen, J. |
ON BREAKING DEEP GENERATIVE MODEL-BASED DEFENSES AND BEYOND
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2021 |
Chen, Yanzhi |
HIGH-DIMENSIONAL ROBUST MEAN ESTIMATION VIA GRADIENT DESCENT
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2021 |
Cheng, Y. |
STOCHASTIC GRADIENT AND LANGEVIN PROCESSES
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2021 |
Cheng, X. |
K-MEANS++: FEW MORE STEPS YIELD CONSTANT APPROXIMATION
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2021 |
Choo, Davin |
DATA-DEPENDENT DIFFERENTIALLY PRIVATE PARAMETER LEARNING FOR DIRECTED GRAPHICAL MODELS
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2021 |
Chowdhury, A. |
ONLINE CONTINUAL LEARNING FROM IMBALANCED DATA
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2021 |
Chrysakis, Aristotelis |
DISTANCE METRIC LEARNING WITH JOINT REPRESENTATION DIVERSIFICATION
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2021 |
Chu, Xu |
TEACHING WITH LIMITED INFORMATION ON THE LEARNER'S BEHAVIOUR
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2021 |
Cicalese, F. |
MODEL FUSION WITH KULLBACK-LEIBLER DIVERGENCE
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2021 |
Claici, Sebastian |
COMPOSABLE SKETCHES FOR FUNCTIONS OF FREQUENCIES: BEYOND THE WORST CASE
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2021 |
Cohen, Edith |
ON EFFICIENT LOW DISTORTION ULTRAMETRIC EMBEDDING
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2021 |
Cohen-Addad, Vincent |
MOMENTUM IMPROVES NORMALIZED SGD
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2021 |
Cutkosky, A. |
GOODNESS-OF-FIT TESTS FOR INHOMOGENEOUS RANDOM GRAPHS
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2021 |
Dan, Soham |
ADVERSARIAL ATTACKS ON PROBABILISTIC AUTOREGRESSIVE FORECASTING MODELS
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2021 |
Dang-Nhu, Raphaël |
ESTIMATING THE ERROR OF RANDOMIZED NEWTON METHODS: A BOOTSTRAP APPROACH
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2021 |
Chen, Jessie X. T. |
MORE DATA CAN EXPAND THE GENERALIZATION GAP BETWEEN ADVERSARIALLY ROBUST AND STANDART MODELS
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2021 |
Chen, Lin |
OPTIMIZATION FROM STRUCTURED SAMPLES FOR COVERAGE FUNCTIONS
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2021 |
Chen, Wei |
AUTOMATED SYNTHETIC-TO-REAL GENERALIZATION
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2021 |
Chen, Wuyang |