| DIVERSITY ACTOR-CRITIC: SAMPLE-AWARE ENTROPY REGULARIZATION FOR SAMPLE-EFFICIENT EXPLORATION
|
2022 |
HAN, SEUNGYUL |
| A COLLECTIVE LEARNING FRAMEWORK TO BOOST GNN EXPRESSIVENESS FOR NODE CLASSIFICATION
|
2022 |
HANG, MENGYUE |
| BOOSTING FOR ONLINE CONVEX OPTIMIZATION
|
2022 |
HAZAN, ELAD |
| CHEBYSHEV POLYNOMIAL CODES: TASK ENTANGLEMENT-BASED CODING FOR DISTRIBUTED MATRIX MULTIPLICATION
|
2022 |
HONG, SANGWOO |
| GENERALIZABLE EPISODIC MEMORY FOR DEEP REINFORCEMENT LEARNING
|
2022 |
HU, HAO |
| FEDERATED LEARNING OF USER VERIFICATION MODELS WITHOUT SHARING EMBEDDINGS
|
2022 |
HOSSEINI, HOSSEIN |
| GENERATIVE ADVERSARIAL TRANSFORMERS
|
2022 |
HUDSON, DREW A. |
| ACTIVE LEARNING FOR DISTRIBUTIONALLY ROBUST LEVEL-SET ESTIMATION
|
2022 |
INATSU, YU |
| FAIRNESS FOR IMAGE GENERATION WITH UNCERTAIN SENSITIVE ATTRIBUTES
|
2022 |
JALAL, AJIL |
| ALTERNATIVE MICROFOUNDATIONS FOR STRATEGIC CLASSIFICATION
|
2022 |
JAGADEESAN, MEENA |
| HIERARCHICAL VAES KNOW WHAT THEY DON'T KNOW
|
2022 |
HAVTORN, JAKOB D. |
| MC-LSTM: MASS-CONSERVING LSTM
|
2022 |
HOEDT, PIETER-JAN |
| LEARNING CURVES FOR ANALYSIS OF DEEP NETWORKS
|
2022 |
HOIEM, DEREK |
| LATENT PROGRAMMER: DISCRETE LATENT CODES FOR PROGRAM SYNTHESIS
|
2022 |
HONG, JOEY |
| LEARNING RANDOMLY PERTURBED STRUCTURED PREDICTORS FOR DIRECT LOSS MINIMIZATION
|
2022 |
INDELMAN, HEDDA COHEN |
| IN-DATABASE REGRESSION IN INPUT SPARSITY TIME
|
2022 |
JAYARAM, RAJESH |
| OPTIMIZING BLACK-BOX METRICS WITH ITERATIVE EXAMPLE WEIGHTING
|
2022 |
HIRANANDANI, GAURUSH |
| ON THE RANDOM CONJUGATE KERNEL AND NEURAL TANGENT KERNEL
|
2022 |
HU, ZHENGMIAN |
| STRODE: STOCHASTIC BOUNDARY ORDINARY DIFFERENTIAL EQUATION
|
2022 |
HUANG, HENGGUAN |
| PARETO GAN: EXTENDING THE REPRESENTATIONAL POWER OF GANS TO HEAVY-TAILED DISTRIBUTIONS
|
2022 |
HUSTER, TODD |
Tag hinzufügen