conftrace_

gradient-based method

54 papers

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Co-occurring keywords

neural network (6616) gradient-based optimization (192) influence function (143) explainable artificial intelligence (130) gradient-based attribution (17) kernel methods (1097) gradient descent (1144) model interpretability (519) feature attribution (280) nonconvex optimization (316)

Papers

Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models EMNLP 2025
Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract) AAAI 2025
Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ACL 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025
On the Feasibility of In-Context Probing for Data Attribution NAACL 2025
Gradient-based Causal Feature Selection IJCAI 2025
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning NAACL 2025
Training Data Attribution via Approximate Unrolling NIPS 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NIPS 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Decoding Layer Saliency in Language Transformers ICML 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
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods EMNLP 2023
Using Interpretation Methods for Model Enhancement EMNLP 2023
Data Pruning via Moving-one-Sample-out NIPS 2023
Toward Efficient Gradient-Based Value Estimation ICML 2023
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022
Learning Linear Complementarity Systems L4DC 2022
Higher-Order Dependency Parsing for Arc-Polynomial Score Functions via Gradient-Based Methods and Genetic Algorithm IJCNLP 2022
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NIPS 2022