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Learning Theory

5,312 papers

Papers per year

Papers

Open Problem: Information Complexity of VC Learning COLT 2020
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation CONLL 2020
Computing the Testing Error Without a Testing Set CVPR 2020
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020
How Useful Is Self-Supervised Pretraining for Visual Tasks? CVPR 2020
When to Use Convolutional Neural Networks for Inverse Problems CVPR 2020
Can Deep Learning Recognize Subtle Human Activities? CVPR 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
Dataless Model Selection With the Deep Frame Potential CVPR 2020
Learning Augmentation Network via Influence Functions CVPR 2020
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding EMNLP 2020
On the Ability and Limitations of Transformers to Recognize Formal Languages EMNLP 2020
With Little Power Comes Great Responsibility EMNLP 2020
Evaluating Models’ Local Decision Boundaries via Contrast Sets EMNLP 2020
How Can Self-Attention Networks Recognize Dyck-n Languages? EMNLP 2020
On the Branching Bias of Syntax Extracted from Pre-trained Language Models EMNLP 2020
What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers EMNLP 2020
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models EMNLP 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020
Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation ICML 2020
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization ICML 2020