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
'15
'20
'25
Papers
Hierarchical Speculative Decoding with Dynamic Window
NAACL 2025
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
ICML 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025
How to set AdamW’s weight decay as you scale model and dataset size
ICML 2025
HUNet: Homotopy Unfolding Network for Image Compressive Sensing
CVPR 2025
HVAdam: A Full-Dimension Adaptive Optimizer
AAAI 2025
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models
CVPR 2025
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
ICML 2025
Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
NAACL 2025
Improved Noise Schedule for Diffusion Training
ICCV 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
AAAI 2025
Improving Generalization of Deep Neural Networks by Optimum Shifting
AAAI 2025
Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum
ACML 2025
Instance-Wise Monotonic Calibration by Constrained Transformation
UAI 2025
Integrating Independent Layer-Wise Rank Selection with Low-Rank SVD Training for Model Compression: A Theory-Driven Approach
IJCAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization
ICLR 2025
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences
AAAI 2025
Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models
EMNLP 2025
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering
ACL 2025
Large Vocabulary Size Improves Large Language Models
ACL 2025
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
EMNLP 2025
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
AISTATS 2025
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
ICCV 2025
Learning from Streaming Video with Orthogonal Gradients
CVPR 2025