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2022 |
RODDENBERRY, T. MITCHELL |
| BEST ARM IDENTIFICATION IN GRAPHICAL BILINEAR BANDITS
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2022 |
RIZK, GEOVANI |
| ON LINEAR IDENTIFIABILITY OF LEARNED REPRESENTATIONS
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2022 |
ROEDER, GEOFFREY |
| ON THE PREDICTABILITY OF PRUNING ACROSS SCALES
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2022 |
ROSENFELD, JONATHAN |
| PACOH: BAYES-OPTIMAL META-LEARNING WITH PAC-GUARANTEES
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2022 |
ROTHFUSS, JONAS |
| SIMULTANEOUS SIMILARITY-BASED SELF-DISTILLATION FOR DEEP METRIC LEARNING
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2022 |
ROTH, KARSTEN |
| SIMPLE AND EFFECTIVE VAE TRAINING WITH CALIBRATED DECODERS
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2022 |
RYBKIN, OLEH |
| MODEL-BASED REINFORCEMENT LEARNING VIA LATENT-SPACE COLLOCATION
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2022 |
RYBKIN, OLEH |
| UNICORNN: A RECURRENT MODEL FOR LEARNING VERY LONG TIME DEPENDENCIES
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2022 |
RUSCH, T. KONSTANTIN |
| TRAINING DATA SUBSET SELECTION FOR REGRESSION WITH CONTROLLED GENERALIZATION ERROR
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2022 |
S, DURGA |
| UNSUPERVISED PART REPRESENTATION BY FLOW CAPSULES
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2022 |
SABOUR, SARA |
| A REPRESENTATION LEARNING PERSPECTIVE ON THE IMPORTANCE OF TRAIN-VALIDATION SPLITTING IN META-LEARNING
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2022 |
SAUNSHI, NIKUNJ |
| JUST HOW TOXIC IS DATA POISONING? A UNIFIED BENCHMARK FOR BACKDOOR AND DATA POISONING ATTACKS
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2022 |
SCHWARZSCHILD, AVI |
| TOP-K EXTREME CONTEXTUAL BANDITS WITH ARM HIERARCHY
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2022 |
SEN, RAJAT |
| PURE EXPLORATION AND REGRET MINIMIZATION IN MATCHING BANDITS
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2022 |
SENTENAC, FLORE |
| LEARNING INTRA-BATCH CONNECTIONS FOR DEEP METRIC LEARNING
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2022 |
SEIDENSCHWARZ, JENNY |
| BACKDOOR SCANNING FOR DEEP NEURAL NETWORKS THROUGH K-ARM OPTIMIZATION
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2022 |
SHEN, GUANGYU |
| AGGREGATING FROM MULTIPLE TARGET-SHIFTED SOURCES
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2022 |
SHUI, CHANGJIAN |
| ALIGN, THEN MEMORISE: THE DYNAMICS OF LEARNING WITH FEEDBACK ALIGNMENT
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2022 |
REFINETTI, MARIA |
| INTERPRETING AND DISENTANGLING FEATURE COMPONENTS OF VARIOUS COMPLEXITY FROM DNNS
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2022 |
REN, JIE |
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