← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14207 directly classified papers

Papers per year

Papers

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025
TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis ICCV 2025
Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025
Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025
ERNet: Efficient Non-Rigid Registration Network for Point Sequences ICCV 2025
What to Distill? Fast Knowledge Distillation with Adaptive Sampling ICCV 2025
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025
Beyond Blur: A Fluid Perspective on Generative Diffusion Models ICCV 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025
When Anchors Meet Cold Diffusion: A Multi-Stage Approach to Lane Detection ICCV 2025
RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025
NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection ACL 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025
Di[M]O: Distilling Masked Diffusion Models into One-step Generator ICCV 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models ICCV 2025
Pre-Training Curriculum for Multi-Token Prediction in Language Models ACL 2025
Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces ICCV 2025
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning ACL 2025
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025
Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025
Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh ICCV 2025
Tree-NeRV: Efficient Non-Uniform Sampling for Neural Video Representation via Tree-Structured Feature Grids ICCV 2025
TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025