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Theory

4,950 papers

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Papers

ACL Tutorial Proposal: Towards Reproducible Machine Learning Research in Natural Language Processing ACL 2022
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics ACL 2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation ACL 2022
Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective ACL 2022
Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer ACL 2022
On Isotropy Calibration of Transformer Models ACL 2022
The Document Vectors Using Cosine Similarity Revisited ACL 2022
An Empirical study to understand the Compositional Prowess of Neural Dialog Models ACL 2022
GrammarSHAP: An Efficient Model-Agnostic and Structure-Aware NLP Explainer ACL 2022
Raison d’être of the benchmark dataset: A Survey of Current Practices of Benchmark Dataset Sharing Platforms ACL 2022
A global analysis of metrics used for measuring performance in natural language processing ACL 2022
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily ACML 2022
Learning with Interactive Models over Decision-Dependent Distributions ACML 2022
Cross-Loss Influence Functions to Explain Deep Network Representations AISTATS 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Deep Layer-wise Networks Have Closed-Form Weights AISTATS 2022
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022
A Complete Characterisation of ReLU-Invariant Distributions AISTATS 2022
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022
Feature screening with kernel knockoffs AISTATS 2022