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← Optimization & Theory
Deep Learning
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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
Boost Your Human Image Generation Model via Direct Preference Optimization
CVPR 2025
Understanding Silent Data Corruption in LLM Training
ACL 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
CVPR 2025
MDP: Multidimensional Vision Model Pruning with Latency Constraint
CVPR 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
CVPR 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks
CVPR 2025
Quantization without Tears
CVPR 2025
Rectified Diffusion Guidance for Conditional Generation
CVPR 2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
CVPR 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking
CVPR 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
CVPR 2025
DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling
CVPR 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
CVPR 2025
FlexDrive: Toward Trajectory Flexibility in Driving Scene Gaussian Splatting Reconstruction and Rendering
CVPR 2025
Scale Efficient Training for Large Datasets
CVPR 2025
SET: Spectral Enhancement for Tiny Object Detection
CVPR 2025
Hash3D: Training-free Acceleration for 3D Generation
CVPR 2025
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
CVPR 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
CVPR 2025
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
CVPR 2025
BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers
CVPR 2025
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models
CVPR 2025
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