gradient information

Selective Span-Level Unlearning for Large Language Models ACL 2026 GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML 2025 L-SWAG: Layer-Sample Wise Activation with Gradients Information for Zero-Shot NAS on Vision Transformers CVPR 2025 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Error Feedback Can Accurately Compress Preconditioners ICML 2024 Gradient-Guided Knowledge Distillation for Object Detectors WACV 2024 Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024 To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024 Data Pruning via Moving-one-Sample-out NeurIPS 2023 Learning with Explanation Constraints NeurIPS 2023 Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023 Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021 Significance of Gradient Information in Bayesian Optimization AISTATS 2021 Gradient Information for Representation and Modeling NeurIPS 2019