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← Optimization & Theory
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Optimization & Theory
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Optimization
1638 directly classified papers
Papers per year
2006: 5
2007: 2
2008: 4
2009: 2
2010: 2
2011: 3
2012: 8
2013: 25
2014: 19
2015: 22
2016: 31
2017: 42
2018: 68
2019: 104
2020: 148
2021: 174
2022: 178
2023: 209
2024: 345
2025: 244
2026: 3
Papers
Rectified Diffusion Guidance for Conditional Generation
CVPR 2025
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach
IJCAI 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
IJCAI 2025
Accelerating Adversarial Training on Under-Utilized GPU
IJCAI 2025
Quantization without Tears
CVPR 2025
Beyond Fixed Length: Bucket Pre-training is All You Need
IJCAI 2025
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
ICCV 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution
ICCV 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
ICCV 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
ICCV 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
CVPR 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
Dataset Distillation via the Wasserstein Metric
ICCV 2025
FlowChef: Steering of Rectified Flow Models for Controlled Generations
ICCV 2025
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking
CVPR 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
CVPR 2025
AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm
ICCV 2025
Balanced Sharpness-Aware Minimization for Imbalanced Regression
ICCV 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service
ACL 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
CVPR 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
AAAI 2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
EMNLP 2025
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