| RETRO*: LEARNING RETROSYNTHETIC PLANNING WITH NEURAL GUIDED A* SEARCH
|
2021 |
Chen, Binghong |
| SIMPLE AND DEEP GRAPH CONVOLUTIONAL NETWORKS
|
2021 |
Chen, Ming |
| CONVERGENCE RATES OF VARIATIONAL INFERENCE IN SPARSE DEEP LEARNING
|
2021 |
Chérief-Abdellatif, Badr-Eddine |
| ON CORESETS FOR REGULARIZED REGRESSION
|
2021 |
Chhaya, Rachit |
| FAIR GENERATIVE MODELING VIAWEAK SUPERVISION
|
2021 |
Choi, K. |
| ESTIMATING GENERALIZATION UNDER DISTRIBUTION SHIFTS VIA DOMAIN-INVARIANT REPRESENTATIONS
|
2021 |
Chuang, Ching-Yao |
| DEEP DIVERGENCE LEARNING
|
2021 |
Cilingir, Kubra |
| SUB-LINEAR MEMORY SKETCHES FOR NEAR NEIGHBOR SEARCH ON STREAMING DATA
|
2021 |
Coleman, B. |
| ONLINE LEARNING WITH DEPENDENT STOCHASTIC FEEDBACK GRAPHS
|
2021 |
Cortes, Corinna |
| DINO: DISTRIBUTED NEWTON-TYPE OPTIMIZATION METHOD .
|
2021 |
Crane, Rixon |
| SUPERVISED QUANTILE NORMALIZATION FOR LOW-RANK MATRIX APPROXIMATION
|
2021 |
Cuturi, Marco |
| DOUBLE TROUBLE IN DOUBLE DESCENT: BIAS AND VARIANCE(S) IN THE LAZY REGIME
|
2021 |
d'Ascoli, Stéphane |
| CONFIDENCE SETS AND HYPOTHESIS TESTING IN A LIKELIHOOD-FREE INFERENCE SETTING
|
2021 |
Dalmasso, Niccolo |
| LEARNING FLAT LATENT MANIFOLDS WITH VAES
|
2021 |
Chen, Nutan |
| ON EFFICIENT CONSTRUCTIONS OF CHECKPOINTS
|
2021 |
Chen, Yu |
| DIFFERENTIABLE PRODUCT QUANTIZATION FOR END-TO-END EMBEDDING COMPRESSION
|
2021 |
Chen, Ting |
| ANGULAR VISUAL HARDNESS
|
2021 |
Chen, Beidi |
| AN ACCELERATED DFO ALGORITHM FOR FINITE-SUM CONVEX FUNCTIONS
|
2021 |
Chen, Y. |
| VFLOW: MORE EXPRESSIVE GENERATIVE FLOWS WITH VARIATIONAL DATA AUGMENTATION
|
2021 |
Chen, J. |
| GENERATIVE PRETRAINING FROM PIXELS .
|
2021 |
Chen, Mark |
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