| Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models | Jul 24, 2023 | MemorizationMRPC | —Unverified | 0 |
| Distribution Shift Matters for Knowledge Distillation with Webly Collected Images | Jul 21, 2023 | Contrastive LearningData-free Knowledge Distillation | —Unverified | 0 |
| Long-Tail Theory under Gaussian Mixtures | Jul 20, 2023 | Memorization | CodeCode Available | 0 |
| What can we learn from Data Leakage and Unlearning for Law? | Jul 19, 2023 | Memorization | —Unverified | 0 |
| Can Neural Network Memorization Be Localized? | Jul 18, 2023 | Memorization | CodeCode Available | 1 |
| An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration | Jul 17, 2023 | GPUMemorization | CodeCode Available | 0 |
| Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning | Jul 14, 2023 | Bayesian OptimizationMemorization | —Unverified | 0 |
| Drive Like a Human: Rethinking Autonomous Driving with Large Language Models | Jul 14, 2023 | Autonomous DrivingCommon Sense Reasoning | CodeCode Available | 2 |
| In-context Autoencoder for Context Compression in a Large Language Model | Jul 13, 2023 | GPULanguage Modeling | CodeCode Available | 1 |
| Memorization Through the Lens of Curvature of Loss Function Around Samples | Jul 11, 2023 | Memorization | —Unverified | 0 |
