Optimization
1,960 papers
Papers per year
5
2
4
2
3
4
8
25
19
28
34
44
82
125
160
195
201
234
394
302
89
'10
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'25
Papers
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
ICLR 2025
StreamGS: Online Generalizable Gaussian Splatting Reconstruction for Unposed Image Streams
ICCV 2025
Structure-Conditional Minimum Bayes Risk Decoding
EMNLP 2025
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning
EMNLP 2025
Taming LLMs with Gradient Grouping
ACL 2025
Temporal Scaling Law for Large Language Models
EMNLP 2025
The AdEMAMix Optimizer: Better, Faster, Older
ICLR 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
JMLR 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
IJCAI 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
AAAI 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
CVPR 2025
Tile-wise vs. Image-wise: Random-Tile Loss and Training Paradigm for Gaussian Splatting
ICCV 2025
Tilted Sharpness-Aware Minimization
ICML 2025
TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models
ICCV 2025
TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
CVPR 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
CVPR 2025
Toward Robust Neural Reconstruction from Sparse Point Sets
CVPR 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
AAAI 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Towards Performance Consistency in Multi-Level Model Collaboration
ICCV 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
CVPR 2025
Training compute-optimal transformer encoder models
EMNLP 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
ACL 2025
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
EMNLP 2025