| A GAME-THEORETIC ANALYSIS OF NETWORKED SYSTEM CONTROL FOR COMMON-POOL RESOURCE MANAGEMENT USING MULTI-AGENT REINFORCEMENT LEARNING
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2021 |
Pretorius, Arnu |
| COSE: COMPOSITIONAL STROKE EMBEDDINGS
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2021 |
Aksan, Emre |
| MODEL-BASED ADVERSARIAL META-REINFORCEMENT LEARNING
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2021 |
Lin, Zichuan |
| GRAPH POLICY NETWORK FOR TRANSFERABLE ACTIVE LEARNING ON GRAPHS
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2021 |
Hu, Shengding |
| UDH: UNIVERSAL DEEP HIDING FOR STEGANOGRAPHY, WATERMARKING, AND LIGHT FIELD MESSAGING
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2021 |
Zhang, Chaoning |
| PUSHING THE LIMITS OF NARROW PRECISION INFERENCING AT CLOUD SCALE WITH MICROSOFT FLOATING POINT
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2021 |
Rouhani, Bita Darvish |
| SELF-SUPERVISED AUXILIARY LEARNING WITH META-PATHS FOR HETEROGENEOUS GRAPHS
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2021 |
Hwang, Dasol |
| GPS-NET: GRAPH-BASED PHOTOMETRIC STEREO NETWORK
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2021 |
Yao, Zhuokun |
| MODEL SELECTION IN CONTEXTUAL STOCHASTIC BANDIT PROBLEMS
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2021 |
Pacchiano, Aldo |
| STABLE AND EXPRESSIVE RECURRENT VISION MODELS
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2021 |
Linsley, Drew |
| DEEP SHELLS: UNSUPERVISED SHAPE CORRESPONDENCE WITH OPTIMAL TRANSPORT
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2021 |
Eisenberger, Marvin |
| REGULARIZING BLACK-BOX MODELS FOR IMPROVED INTERPRETABILITY
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2021 |
Plumb, Gregory |
| CONSISTENCY REGULARIZATION FOR CERTIFIED ROBUSTNESS OF SMOOTHED CLASSIFIERS
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2021 |
Jeong, Jongheon |
| SIRI: SPATIAL RELATION INDUCED NETWORK FOR SPATIAL DESCRIPTION RESOLUTION
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2021 |
Wang, Peiyao |
| DEPTH UNCERTAINTY IN NEURAL NETWORKS
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2021 |
Antoran, Javier |
| CONSTRAINING VARIATIONAL INFERENCE WITH GEOMETRIC JENSEN-SHANNON DIVERGENCE
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2021 |
Deasy, Jacob |
| SHARED EXPERIENCE ACTOR-CRITIC FOR MULTI-AGENT REINFORCEMENT LEARNING
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2021 |
Christianos, Filippos |
| HIGH-DIMENSIONAL SPARSE LINEAR BANDITS
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2021 |
Hao, Botao |
| NON-STOCHASTIC CONTROL WITH BANDIT FEEDBACK
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2021 |
Gradu, Paula |
| GENERALIZED LEVERAGE SCORE SAMPLING FOR NEURAL NETWORKS
|
2021 |
Lee, Jason D. |
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