| ROTATED BINARY NEURAL NETWORK
|
2021 |
Lin, Mingbao |
| SIMPLE AND PRINCIPLED UNCERTAINTY ESTIMATION WITH DETERMNISTIC DEEP LEARNING VIA DISTANCE AWARENESS
|
2021 |
Liu, Jeremiah |
| DIFFERENTIABLE AUGMENTATION FOR DATA-EFFICIENT GAN TRAINING
|
2021 |
Zhao, Shengyu |
| FOURIER FEATURES LET NETWORKS LEARN HIGH FREQUENCY FUNCTIONS IN LOW DIMENSIONAL DOMAINS
|
2021 |
Tancik, Matthew |
| LEARNING CERTIFIED INDIVIDUALLY FAIR REPRESENTATIONS
|
2021 |
Ruoss, Anian |
| ESTIMATING WEIGHTED AREAS UNDER THE ROC CURVE
|
2021 |
Maurer, Andreas |
| GENERALIZED HINDSIGHT FOR REINFORCEMENT LEARNING
|
2021 |
Li, Alexander |
| BOOSTING ADVERSARIAL TRAINING WITH HYPERSPHERE EMBEDDING
|
2021 |
Pang, Tianyu |
| BEYOND HOMOPHILY IN GRAPH NEURAL NETWORKS: CURRENT LIMITATIONS AND EFFECTIVE DESIGNS
|
2021 |
Zhu, Jiong |
| DETECTING HANDS AND RECOGNIZING PHYSICAL CONTACT IN THE WILD
|
2021 |
Narasimhaswamy, Supreeth |
| NEURAL STAR DOMAIN AS PRIMITIVE REPRESENTATION
|
2021 |
Kawana, Yuki |
| DISTRIBUTIONALLY ROBUST PARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
|
2021 |
Nguyen, Viet Anh |
| OFF-POLICY INTERVAL ESTIMATION WITH LIPSCHITZ VALUE ITERATION
|
2021 |
Tang, Ziyang |
| MULTI-LABEL CONTRASTIVE PREDICTIVE CODING
|
2021 |
Song, Jiaming |
| SELF-SUPERVISED GENERATIVE ADVERSARIAL COMPRESSION
|
2021 |
Yu, Chong |
| IMPLICIT NEURAL REPRESENTATIONS WITH PERIODIC ACTIVATION FUNCTIONS
|
2021 |
Sitzmann, Vincent |
| HIERARCHICAL NUCLEATION IN DEEP NEURAL NETWORKS
|
2021 |
Doimo, Diego |
| AUTOMATIC CURRICULUM LEARNING THROUGH VALUE DISAGREEMENT
|
2021 |
Zhang, Yunzhi |
| MRI BANDING REMOVAL VIA ADVERSARIAL TRAINING
|
2021 |
Defazio, Aaron |
| TACKLING THE OBJECTIVE INCONSISTENCY PROBLEM IN HETEROGENEOUS FEDERATED OPTIMIZATION
|
2021 |
Wang, Jianyu |
Tag hinzufügen