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Papers
A Consistent and Efficient Evaluation Strategy for Attribution Methods
ICML 2022
Adaptive Data Analysis with Correlated Observations
ICML 2022
Adaptive Information Belief Space Planning
IJCAI 2022
A Functional Information Perspective on Model Interpretation
ICML 2022
Analyzing Wrap-Up Effects through an Information-Theoretic Lens
ACL 2022
An Analysis of Ensemble Sampling
NeurIPS 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
NeurIPS 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
AISTATS 2022
An Information-Theoretic Approach and Dataset for Probing Gender Stereotypes in Multilingual Masked Language Models
NAACL 2022
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
An Information-Theoretic Framework for Deep Learning
NeurIPS 2022
An Information-Theoretic Justification for Model Pruning
AISTATS 2022
A time-resolved theory of information encoding in recurrent neural networks
NeurIPS 2022
Better Embedding and More Shots for Few-shot Learning
IJCAI 2022
Cheat Codes to Quantify Missing Source Information in Neural Machine Translation
NAACL 2022
ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons
ACL 2022
Construction Repetition Reduces Information Rate in Dialogue
AACL 2022
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling
EMNLP 2022
Data-Derived Weak Universal Consistency
JMLR 2022
Entropic Causal Inference: Graph Identifiability
ICML 2022
Entropy Estimation via Normalizing Flow
AAAI 2022
Estimating the Entropy of Linguistic Distributions
ACL 2022
Evaluating Extreme Hierarchical Multi-label Classification
ACL 2022
Fundamental Limits and Tradeoffs in Invariant Representation Learning
JMLR 2022
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning
RSS 2022