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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Optimization
14207 directly classified papers
Papers per year
2001: 10
2002: 9
2003: 16
2004: 6
2005: 16
2006: 58
2007: 67
2008: 72
2009: 84
2010: 106
2011: 132
2012: 164
2013: 333
2014: 295
2015: 310
2016: 380
2017: 509
2018: 669
2019: 1072
2020: 1217
2021: 1489
2022: 1470
2023: 1746
2024: 1819
2025: 1567
2026: 591
Papers
Soft Local Completeness: Rethinking Completeness in XAI
ICCV 2025
Morph: A Motion-free Physics Optimization Framework for Human Motion Generation
ICCV 2025
GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar
ICCV 2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
ICCV 2025
Improving Rectified Flow with Boundary Conditions
ICCV 2025
Scalable Ranked Preference Optimization for Text-to-Image Generation
ICCV 2025
Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM
ICCV 2025
Simple Policy Optimization
ICML 2025
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
ICCV 2025
ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers
ICCV 2025
What to Distill? Fast Knowledge Distillation with Adaptive Sampling
ICCV 2025
Dataset Distillation as Data Compression: A Rate-Utility Perspective
ICCV 2025
Up to Par? MT Systems Take a Shot at Sports Terminology
EMNLP 2025
Boundary Probing for Input Privacy Protection When Using LMM Services
ICCV 2025
Rethinking DPO-style Diffusion Aligning Frameworks
ICCV 2025
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset
ICCV 2025
Logically Constrained Decoding
EMNLP 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
ICCV 2025
Laboring on less labors: RPCA Paradigm for Pan-sharpening
ICCV 2025
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
ICCV 2025
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models
EMNLP 2025
AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Editing
EMNLP 2025
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
EMNLP 2025
Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model
ICCV 2025
Rajomon: Decentralized and Coordinated Overload Control for Latency-Sensitive Microservices
NSDI 2025
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