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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
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
ICCV 2025
When Anchors Meet Cold Diffusion: A Multi-Stage Approach to Lane Detection
ICCV 2025
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge
ICCV 2025
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
ICCV 2025
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
ICCV 2025
SCULPT: Systematic Tuning of Long Prompts
ACL 2025
Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-sharpening
ICCV 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
ACL 2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
ICCV 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
ICCV 2025
Understanding Flatness in Generative Models: Its Role and Benefits
ICCV 2025
StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation
ICCV 2025
Learned Image Compression with Hierarchical Progressive Context Modeling
ICCV 2025
Rethinking DPO-style Diffusion Aligning Frameworks
ICCV 2025
ClusterAttn: KV Cache Compression under Intrinsic Attention Clustering
ACL 2025
Mutual-Taught for Co-adapting Policy and Reward Models
ACL 2025
Joint Self-Supervised Video Alignment and Action Segmentation
ICCV 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
ICCV 2025
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization
ACL 2025
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
ACL 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization
ACL 2025
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
ACL 2025
EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
ICCV 2025
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