gradient-based optimization

Gradient Coreset for Federated Learning WACV 2024 Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NeurIPS 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data ICLR 2024 Learning with 3D rotations, a hitchhiker’s guide to SO(3) ICML 2024 LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NeurIPS 2024 Loss Landscape Characterization of Neural Networks without Over-Parametrization NeurIPS 2024 MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NeurIPS 2024 Operator SVD with Neural Networks via Nested Low-Rank Approximation ICML 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NeurIPS 2024 Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NeurIPS 2024 ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer AAAI 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization ICML 2024 Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy ECCV 2024 Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control RSS 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 UOR: Universal Backdoor Attacks on Pre-trained Language Models ACL 2024 UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers ICML 2024 WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NeurIPS 2024 Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells ICLR 2023 Algorithmic Collective Action in Machine Learning ICML 2023 A Skeletonization Algorithm for Gradient-Based Optimization ICCV 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework ACL 2023