gradient-based method

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Using Interpretation Methods for Model Enhancement EMNLP 2023 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NeurIPS 2022 GradSign: Model Performance Inference with Theoretical Insights ICLR 2022 Learning Linear Complementarity Systems L4DC 2022 Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022 Oracle Complexity in Nonsmooth Nonconvex Optimization JMLR 2022 PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation COLING 2022 SWAG-V: Explanations for Video Using Superpixels Weighted by Average Gradients WACV 2022 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022 An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021 A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation AAAI 2021 Explaining Errors in Machine Translation with Absolute Gradient Ensembles EMNLP 2021 Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021 On the Impossibility of Global Convergence in Multi-Loss Optimization ICLR 2021 Reconsidering the Past: Optimizing Hidden States in Language Models EMNLP 2021 Teaching with Commentaries ICLR 2021 The complexity of nonconvex-strongly-concave minimax optimization UAI 2021 Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization AAAI 2021 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019