GRAPH NORMALIZING FLOWS
|
2020 |
Liu, Jenny |
NON-NORMAL RECURRENT NEURAL NETWORK (NNRNN): LEARNING LONG TIME DEPENDENCIES WHILE IMPROVING EXPRESSIVITY WITH TRANSIENT DYNAMICS
|
2020 |
Kerg, Giancarlo |
NO-REGRET LEARNING IN UNKNOWN GAMES WITH CORRELATED PAYOFFS
|
2020 |
Sessa, Pier Giuseppe |
COMPACTING, PICKING AND GROWING FOR UNFORGETTING CONTINUAL LEARNING
|
2020 |
Hung, Ching-Yi |
A SOLVABLE HIGH-DIMENSIONAL MODEL OF GAN
|
2020 |
Wang, Chuang |
MONOFOREST FRAMEWORK FOR TREE ENSEMBLE ANALYSIS
|
2020 |
Kuralenok, Igor |
A GRAPH THEORETIC ADDITIVE APPROXIMATION OF OPTIMAL TRANSPORT ............
|
2020 |
Lahn, Nathaniel |
SEMI-FLAT MINIMA AND SADDLE POINTS BY EMBEDDING NEURAL NETWORKS TO OVERPARAMETERIZATION
|
2020 |
Fukumizu, Kenji |
ON MIXUP TRAINING: IMPROVED CALIBRATION AND PREDICTIVE UNCERTAINTY FOR DEEP NEURAL NETWORKS
|
2020 |
Thulasidasan, Sunil |
GENERALIZATION IN REINFORCEMENT LEARNING WITH SELECTIVE NOISE INJECTION AND INFORMATION BOTTLENECK
|
2020 |
Igl, Maximilian |
A NEW PERSPECTIVE ON POOL-BASED ACTIVE CLASSIFICATION AND FALSE-DISCOVERY CONTROL
|
2020 |
Jain, Lalit |
ARIATIONAL BAYESIAN OPTIMAL EXPERIMENTAL DESIGN
|
2020 |
Foster, Adam |
RECOVERING BANDITS
|
2020 |
Pike-Burke, Ciara |
CORRELATION PRIORS FOR REINFORCEMENT LEARNING
|
2020 |
Alt, Bastian |
POWERSGD: PRACTICAL LOW-RANK GRADIENT COMPRESSION FOR DISTRIBUTED OPTIMIZATION
|
2020 |
Vogels, Thijs |
ROBUST ATTRIBUTION REGULARIZATION
|
2020 |
Chen, Jiefeng |
COMPUTATIONAL MIRRORS: BLIND INVERSE LIGHT TRANSPORT BY DEEP MATRIX FACTORIZATION
|
2020 |
Aittala, Miika |
AN ALGORITHMIC FRAMEWORK FOR DIFFERENTIALLY PRIVATE DATA ANALYSIS ON TRUSTED PROCESSORS
|
2020 |
Allen, Joshua |
TOWARDS HARDWARE-AWARE TRACTABLE LEARNING OF PROBABILISTIC MODELS
|
2020 |
Olascoaga, Laura I. Galindez |
TOWARDS MODULAR AND PROGRAMMABLE ARCHITECTURE SEARCH
|
2020 |
Negrinho, Renato |