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Optimization

17,731 papers

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Papers

Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM ICCV 2025 Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles AAAI 2025 Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera AAAI 2025 Free Process Rewards without Process Labels ICML 2025 Frequency-Biased Synergistic Design for Image Compression and Compensation CVPR 2025 FreSh: Frequency Shifting for Accelerated Neural Representation Learning ICLR 2025 Frictional Agent Alignment Framework: Slow Down and Don’t Break Things ACL 2025 From Attention to Activation: Unraveling the Enigmas of Large Language Models ICLR 2025 From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ ICLR 2025 From Gaze to Movement: Predicting Visual Attention for Autonomous Driving Human-Machine Interaction based on Programmatic Imitation Learning ICCV 2025 From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models EMNLP 2025 From Learning to Optimize to Learning Optimization Algorithms AISTATS 2025 From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025 From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025 From Promise to Practice: Realizing High-performance Decentralized Training ICLR 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning ICCV 2025 From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025 From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval EMNLP 2025 Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization AutoML 2025 FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training ICML 2025 FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics COLING 2025 Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning ACL 2025 Full Swap Regret and Discretized Calibration ALT 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch ICML 2025 Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton ICML 2025