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Learning Theory

5,312 papers

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Papers

Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract) AAAI 2020
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) AAAI 2020
Location Attention for Extrapolation to Longer Sequences ACL 2020
MuTual: A Dataset for Multi-Turn Dialogue Reasoning ACL 2020
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction ACL 2020
Overestimation of Syntactic Representation in Neural Language Models ACL 2020
Showing Your Work Doesn’t Always Work ACL 2020
Hypernymy Detection for Low-Resource Languages via Meta Learning ACL 2020
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words ACL 2020
A Re-evaluation of Knowledge Graph Completion Methods ACL 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions ACL 2020
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ACL 2020
Predicting Performance for Natural Language Processing Tasks ACL 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020
Staying True to Your Word: (How) Can Attention Become Explanation? ACL 2020
Evaluating Compositionality of Sentence Representation Models ACL 2020
A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020
Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020
Foolproof Cooperative Learning ACML 2020
Monte-Carlo Graph Search: the Value of Merging Similar States ACML 2020
Nonparametric Sequential Prediction While Deep Learning the Kernel AISTATS 2020
Minimax Bounds for Structured Prediction Based on Factor Graphs AISTATS 2020
LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020