C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References | 0 | 0.34 | 2022 |
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge | 0 | 0.34 | 2022 |
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension | 0 | 0.34 | 2022 |
Connect-the-Dots - Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. | 0 | 0.34 | 2021 |
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification | 2 | 0.72 | 2020 |
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search | 0 | 0.34 | 2020 |
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. | 0 | 0.34 | 2020 |
TabFact: A Large-scale Dataset for Table-based Fact Verification | 1 | 0.34 | 2020 |
Logical Natural Language Generation from Open-Domain Tables | 0 | 0.34 | 2020 |
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehensio | 0 | 0.34 | 2020 |
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT | 0 | 0.34 | 2020 |
TabFact: A Large-scale Dataset for Table-based Fact Verification. | 0 | 0.34 | 2020 |
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. | 0 | 0.34 | 2019 |
LEARNING TO RECOVER SPARSE SIGNALS | 0 | 0.34 | 2019 |
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. | 0 | 0.34 | 2019 |
Improving Pre-Trained Multilingual Models with Vocabulary Expansion. | 0 | 0.34 | 2019 |
Improving question answering with external knowledge | 0 | 0.34 | 2019 |
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization | 0 | 0.34 | 2019 |
Evidence Sentence Extraction for Machine Reading Comprehension. | 0 | 0.34 | 2019 |
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. | 15 | 0.54 | 2018 |
Design And Analysis Of An Interactive Mooc Teaching System Based On Virtual Reality | 1 | 0.43 | 2018 |
Coupled Variational Bayes via Optimization Embedding. | 1 | 0.35 | 2018 |
M-Walk - Learning to Walk over Graphs using Monte Carlo Tree Search. | 5 | 0.39 | 2018 |
Incorporating Structured Commonsense Knowledge in Story Completion | 3 | 0.41 | 2018 |
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. | 3 | 0.38 | 2018 |
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. | 1 | 0.36 | 2018 |
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. | 0 | 0.34 | 2018 |
P-MCGS: Parallel Monte Carlo Acyclic Graph Search. | 0 | 0.34 | 2018 |
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. | 0 | 0.34 | 2018 |
A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. | 2 | 0.43 | 2017 |
Cherrypick: Adaptively Unearthing The Best Cloud Configurations For Big Data Analytics | 27 | 1.08 | 2017 |
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. | 1 | 0.34 | 2017 |
An Unsupervised Learning Method Exploiting Sequential Output Statistics. | 0 | 0.34 | 2017 |
Smoothed Dual Embedding Control. | 3 | 0.39 | 2017 |
Unsupervised Sequence Classification using Sequential Output Statistics. | 2 | 0.42 | 2017 |
Stochastic Variance Reduction Methods for Policy Evaluation. | 9 | 0.44 | 2017 |
Deep Reinforcement Learning With A Natural Language Action Space | 26 | 0.95 | 2016 |
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. | 0 | 0.34 | 2016 |
Excess-Risk of Distributed Stochastic Learners | 7 | 0.55 | 2016 |
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. | 7 | 0.47 | 2016 |
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. | 1 | 0.37 | 2016 |
Efficient Neural Network Architecture For Topology Identification In Smart Grid | 0 | 0.34 | 2016 |
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. | 0 | 0.34 | 2016 |
Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks | 2 | 0.38 | 2015 |
Distributed Policy Evaluation Under Multiple Behavior Strategies. | 16 | 0.72 | 2015 |
Deep Reinforcement Learning with an Unbounded Action Space. | 3 | 0.39 | 2015 |
On the Learning Behavior of Adaptive Networks --- Part I: Transient Analysis | 42 | 1.05 | 2015 |
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture | 3 | 0.38 | 2015 |
Recurrent Reinforcement Learning: A Hybrid Approach | 11 | 0.54 | 2015 |
A Deep Embedding Model for Co-occurrence Learning. | 2 | 0.36 | 2015 |