IMPLICIT NEURAL REPRESENTATIONS WITH PERIODIC ACTIVATION FUNCTIONS
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2021 |
Sitzmann, Vincent |
HIERARCHICAL NUCLEATION IN DEEP NEURAL NETWORKS
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2021 |
Doimo, Diego |
AUTOMATIC CURRICULUM LEARNING THROUGH VALUE DISAGREEMENT
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2021 |
Zhang, Yunzhi |
MRI BANDING REMOVAL VIA ADVERSARIAL TRAINING
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2021 |
Defazio, Aaron |
TACKLING THE OBJECTIVE INCONSISTENCY PROBLEM IN HETEROGENEOUS FEDERATED OPTIMIZATION
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2021 |
Wang, Jianyu |
ICAM: INTERPRETABLE CLASSIFICATION VIA DISENTANGLED REPRESENTATIONS AND FEATURE ATTRIBUTION MAPPING
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2021 |
Bass, Cher |
SPECTRA OF THE CONJUGATE KERNEL AND NEURAL TANGENT KERNEL FOR LINEAR-WIDTH NEURAL NETWORKS
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2021 |
Fan, Zhou |
NO-REGRET LEARNING DYNAMICS FOR EXTENSIVE-FORM CORRELATED EQUILIBRIUM
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2021 |
Celli, Andrea |
DEEP TRANSFORMATION-INVARIANT CLUSTERING
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2021 |
Monnier, Tom |
OVERFITTING CAN BE HARMLESS FOR BASIS PURSUIT, BUT ONLY TO A DEGREE
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2021 |
Ju, Peizhong |
SECRETARY AND ONLINE MATCHING PROBLEMS WITH MACHINE LEARNED ADVICE
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2021 |
Antoniadis, Antonios |
PONTRYAGIN DIFFERENTIABLE PROGRAMMING: AN END-TO-END LEARNING AND CONTROL FRAMEWORK
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2021 |
Jin, Wangxin |
LEARNING FROM AGGREGATE OBSERVATIONS
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2021 |
Zhang, Yivan |
A SCALABLE APPROACH FOR PRIVACY-PRESERVING COLLABORATIVE MACHINE LEARNING
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2021 |
So, Jinhyun |
OPTIMAL ROBUSTNESS-CONSISTENCY TRADE-OFFS FOR LEARNING-AUGMENTED ONLINE ALGORITHMS
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2021 |
Wei, Alexander |
NOVELTY SEARCH IN REPRESENTATIONAL SPACE FOR SAMPLE EFFICIENT EXPLORATION
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2021 |
Tao, Ruo Yu |
ROBUST REINFORCEMENT LEARNING VIA ADVERSARIAL TRAINING WITH LANGEVIN DYNAMICS
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2021 |
Kamalaruban, Parameswaran |
ROTATION-INVARIANT LOCAL-TO-GLOBAL REPRESENTATION LEARNING FOR 3D POINT CLOUD
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2021 |
Kim, Seohyun |
ONLINE ALGORITHMS FOR MULTI-SHOP SKI RENTAL WITH MACHINE LEARNED ADVICE
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2021 |
Wang, Shufan |
LEARNING INVARIANTS THROUGH SOFT UNIFICATION
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2021 |
Cingillioglu, Nuri |