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Theory

4,950 papers

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Papers

Neural Natural Logic Inference for Interpretable Question Answering EMNLP 2021
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality EMNLP 2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation EMNLP 2021
Neuralizing Regular Expressions for Slot Filling EMNLP 2021
Discretized Integrated Gradients for Explaining Language Models EMNLP 2021
Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy EMNLP 2021
Benchmarking Meta-embeddings: What Works and What Does Not EMNLP 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021
On the Limits of Minimal Pairs in Contrastive Evaluation EMNLP 2021
Negation-Instance Based Evaluation of End-to-End Negation Resolution EMNLP 2021
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation EMNLP 2021
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP EMNLP 2021
Orthographic-Perspective Epipolar Geometry ICCV 2021
Statistically Consistent Saliency Estimation ICCV 2021
Do Image Classifiers Generalize Across Time? ICCV 2021
Ground-Truth or DAER: Selective Re-Query of Secondary Information ICCV 2021
Dissecting Image Crops ICCV 2021
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ICML 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Dropout: Explicit Forms and Capacity Control ICML 2021
Uniform Convergence, Adversarial Spheres and a Simple Remedy ICML 2021
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021
Instance Specific Approximations for Submodular Maximization ICML 2021