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Papers
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
EMNLP 2020
Beyond Adjacency Pairs: Hierarchical Clustering of Long Sequences for Human-Machine Dialogues
EMNLP 2020
Characterizing the Value of Information in Medical Notes
EMNLP 2020
Consistent feature selection for analytic deep neural networks
NeurIPS 2020
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
IJCAI 2020
Dual Iterative Hard Thresholding
JMLR 2020
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
AAAI 2020
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification
SemEval 2020
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
CVPR 2020
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
AAAI 2020
Fast OSCAR and OWL Regression via Safe Screening Rules
ICML 2020
Feature Importance Ranking for Deep Learning
NeurIPS 2020
Feature Selection using Stochastic Gates
ICML 2020
Feature Statistics Guided Efficient Filter Pruning
IJCAI 2020
Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning
Interspeech 2020
Identifying Spurious Correlations for Robust Text Classification
EMNLP 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation
Interspeech 2020
Invariant Rationalization
ICML 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
AAAI 2020
Learning Feature Sparse Principal Subspace
NeurIPS 2020
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
Interspeech 2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
IJCAI 2020
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
UAI 2020
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020
Multi-Label Causal Feature Selection
AAAI 2020