Optimization

Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unraveling the Gradient Descent Dynamics of Transformers NeurIPS 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 Unsupervised Deep Unrolling Networks for Phase Unwrapping CVPR 2024 Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies AAAI 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers ICML 2024 UQ-Guided Hyperparameter Optimization for Iterative Learners NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 USHER: Holistic Interference Avoidance for Resource Optimized ML Inference OSDI 2024 Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization AAAI 2024 Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024 Utility-Fairness Trade-Offs and How to Find Them CVPR 2024 Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks AAAI 2024 Vanishing Gradients in Reinforcement Finetuning of Language Models ICLR 2024 Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions ICLR 2024 Variational Schrödinger Diffusion Models ICML 2024 VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections NeurIPS 2024 VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch AAAI 2024 Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation CoRL 2024 Verification of neural reachable tubes via scenario optimization and conformal prediction L4DC 2024 Verifying message-passing neural networks via topology-based bounds tightening ICML 2024