gradient-based method

Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators ICML 2025 Aligned Multi Objective Optimization ICML 2025 Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025 Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ACL 2025 DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle ICLR 2025 Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract) AAAI 2025 Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025 Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models EMNLP 2025 Gradient-based Causal Feature Selection IJCAI 2025 Metric-Driven Attributions for Vision Transformers ICLR 2025 One Wave To Explain Them All: A Unifying Perspective On Feature Attribution ICML 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization ICML 2025 Scalable Influence and Fact Tracing for Large Language Model Pretraining ICLR 2025 Decision-Focused Learning with Directional Gradients NeurIPS 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Data Pruning via Moving-one-Sample-out NeurIPS 2023 Decoding Layer Saliency in Language Transformers ICML 2023 Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods EMNLP 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023