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2020 |
Hou, Ruibing |
| SCAN: ASCALABLE NEURAL NETWORKS FRAMEWORK TOWARDS COMPACT AND EFFICIENT MODELS
|
2020 |
Zhang, Linfeng |
| TEACHING MULTIPLE CONCEPTS TO A FORGETFUL LEARNER
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2020 |
Hunziker, Anette |
| REGULARIZED WEIGHTED LOW RANK APPROXIMATION
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2020 |
Ban, Frank |
| A PRIOR OF A GOOGOL GAUSSIANS: A TENSOR RING INDUCED PRIOR FOR GENERATIVE MODELS
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2020 |
Kuznetsov, Maxim |
| LIMITATIONS OF THE EMPIRICAL FISHER APPROXIMATION FOR NATURAL GRADIENT DESCENT
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2020 |
Kunstner, Frederik |
| EFFICIENT GRAPH GENERATION WITH GRAPH RECURRENT ATTENTION NETWORKS
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2020 |
Liao, Renjie |
| PSEUDO-EXTENDED MARKOV CHAIN MONTE CARLO
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2020 |
Nemeth, Christopher |
| LEARNING NEW TRICKS FROM OLD DOGS: MULTI-SOURCE TRANSFER LEARNING FROM PRE-TRAINED NETWORKS
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2020 |
Lee, Joshua |
| UNDERSTANDING AND IMPROVING LAYER NORMALIZATION
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2020 |
Xu, Jingjing |
| GLOBALLY OPTIMAL SCORE-BASED LEARNING OF DIRECTED ACYCLIC GRAPHS IN HIGH-DIMENSIONS
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2020 |
Aragam, Bryon |
| PARTIALLY ENCRYPTED DEEP LEARNING USING FUNCTIONAL ENCRYPTION
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2020 |
Ryffel, Théo |
| EFFICIENT DEEP APPROXIMATION OF GMMS
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2020 |
Jalali, Shirin |
| LEARNING LOW-DIMENSIONAL STATE EMBEDDINGS AND METASTABLE CLUSTERS FROM TIME SERIES DATA
|
2020 |
Sun, Yifan |
| SYMMETRY-BASED DISENTANGLED REPRESENTATION LEARNING REQUIRES INTERACTION WITH ENVIRONMENTS
|
2020 |
Caselles-Dupré, Hugo |
| UNSUPERVISED SCALABLE REPRESENTATION LEARNING FOR MULTIVARIATE TIME SERIES
|
2020 |
Franceschi, Jean-Yves |
| END TO END LEARNING AND OPTIMIZATION ON GRAPHS
|
2020 |
Wilder, Bryan |
| ADAPTIVE AUXILIARY TASK WEIGHTING FOR REINFORCEMENT LEARNING
|
2020 |
Lin, Xingyu |
| REVISITING THE BETHE-HESSIAN: IMPROVED COMMUNITY DETECTION IN SPARSE HETEROGENEOUS GRAPHS
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2020 |
Dall'Amico, Lorenzo |
| THINNING FOR ACCELERATING THE LEARNING OF POINT PROCESSES
|
2020 |
Li, Tianbo |
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