| AUTOSAMPLING: SEARCH FOR EFFECTIVE DATA SAMPLING SCHEDULES
|
2022 |
SUN, MING |
| NONDETERMINISM AND INSTABILITY IN NEURAL NETWORK OPTIMIZATION
|
2022 |
SUMMERS, CECILIA |
| REASONING OVER VIRTUAL KNOWLEDGE BASES WITH OPEN PREDICATE RELATIONS
|
2022 |
SUN, HAITIAN |
| MONTE CARLO VARIATIONAL AUTO-ENCODERS
|
2022 |
THIN, ACHILLE |
| LTL2ACTION: GENERALIZING LTL INSTRUCTIONS FOR MULTI-TASK RL
|
2022 |
VAEZIPOOR, PASHOOTAN |
| SCALABLE VARIATIONAL GAUSSIAN PROCESSES VIA HARMONIC KERNEL DECOMPOSITION
|
2022 |
SUN, SHENGYANG |
| ROBUST REPRESENTATION LEARNING VIA PERCEPTUAL SIMILARITY METRICS
|
2022 |
TAGHANAKI, SAEID A. |
| TAYLOR EXPANSION OF DISCOUNT FACTORS
|
2022 |
TANG, YUNHAO |
| T-SCI: A TWO-STAGE CONFORMAL INFERENCE ALGORITHM WITH GUARANTEED COVERAGE FOR COX-MLP
|
2022 |
TENG, JIAYE |
| UNDERSTANDING INVARIANCE VIA FEEDFORWARD INVERSION OF DISCRIMINATIVELY TRAINED CLASSIFIERS
|
2022 |
TETERWAK, PIOTR |
| RESOURCE ALLOCATION IN MULTI-ARMED BANDIT EXPLORATION: OVERCOMING SUBLINEAR SCALING WITH ADAPTIVE PARALLELISM
|
2022 |
THANANJEYAN, BRIJEN |
| TOWARDS DOMAIN-AGNOSTIC CONTRASTIVE LEARNING
|
2022 |
VERMA, VIKAS |
| UNBIASED GRADIENT ESTIMATION IN UNROLLED COMPUTATION GRAPHS WITH PERSISTENT EVOLUTION STRATEGIES
|
2022 |
VICOL, PAUL |
| APPROXIMATION THEORY BASED METHODS FOR RKHS BANDITS
|
2022 |
TAKEMORI, SHO |
| EFFICIENTNETV2: SMALLER MODELS AND FASTER TRAINING
|
2022 |
TAN, MINGXING |
| 1-BIT ADAM: COMMUNICATION EFFICIENT LARGE-SCALE TRAINING WITH ADAM’S CONVERGENCE SPEED
|
2022 |
TANG, HANLIN |
| EFFICIENT GENERATIVE MODELLING OF PROTEIN STRUCTURE FRAGMENTS USING A DEEP MARKOV MODEL
|
2022 |
THYGESEN, CHRISTIAN B. |
| A NEW FORMALISM, METHOD AND OPEN ISSUES FOR ZERO-SHOT COORDINATION
|
2022 |
TREUTLEIN, JOHANNES |
| CUMULANTS OF HAWKES PROCESSES ARE ROBUST TO OBSERVATION NOISE
|
2022 |
TROULEAU, WILLIAM |
| ACTIVE DEEP PROBABILISTIC SUBSAMPLING
|
2022 |
GORP, HANS VAN |
Tag hinzufügen