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Theory

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Papers

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters CVPR 2022
Texture-Based Error Analysis for Image Super-Resolution CVPR 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
Enabling Equivariance for Arbitrary Lie Groups CVPR 2022
A Structured Dictionary Perspective on Implicit Neural Representations CVPR 2022
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models EMNLP 2022
Stop Measuring Calibration When Humans Disagree EMNLP 2022
Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models EMNLP 2022
Reproducibility Issues for BERT-based Evaluation Metrics EMNLP 2022
Invariant Language Modeling EMNLP 2022
Adversarial Concept Erasure in Kernel Space EMNLP 2022
Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022
The Architectural Bottleneck Principle EMNLP 2022
Influence Functions for Sequence Tagging Models EMNLP 2022
A Few More Examples May Be Worth Billions of Parameters EMNLP 2022
Outlier Dimensions that Disrupt Transformers are Driven by Frequency EMNLP 2022
Text Editing as Imitation Game EMNLP 2022
Experimental Standards for Deep Learning in Natural Language Processing Research EMNLP 2022
ER-Test: Evaluating Explanation Regularization Methods for Language Models EMNLP 2022
Are Neural Topic Models Broken? EMNLP 2022
WordTies: Measuring Word Associations in Language Models via Constrained Sampling EMNLP 2022
Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022
How (Un)Faithful is Attention? EMNLP 2022
Parsing as Deduction Revisited: Using an Automatic Theorem Prover to Solve an SMT Model of a Minimalist Parser EMNLP 2022