Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
8
7
12
6
16
9
25
48
45
60
94
150
295
436
675
803
1,010
944
1,346
1,352
463
'10
'15
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'25
Papers (including subtopics)
InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search
CVPR 2026
Investigating the Histogram Loss in Regression
JMLR 2026
Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent?
COLT 2026
Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting?
ACL 2026
It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
CVPR 2026
Joint Optimization of Camera Model and Deep Neural Network for Image Recognition
WACV 2026
Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers
CVPR 2026
JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression
ACL 2026
Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training
OSDI 2026
Label-Free Cross-Task LoRA Merging with Null-Space Compression
CVPR 2026
LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
ACL 2026
Layered 4D-Rotor Gaussian Splatting: A Compressed Representation for Long Dynamic Scenes
CVPR 2026
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
ACL 2026
LazyVAR: Accelerating Visual Autoregressive Models via Scale-wise Token Pruning and Parallel Group Decoding
CVPR 2026
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
ACL 2026
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
ACL 2026
Learned Image Compression via Sparse Attention and Adaptive Frequency
CVPR 2026
Learning by Analogy: A Causal Framework for Compositional Generalization
CVPR 2026
Learning Differentiable Hierarchies in 3D Gaussian Splatting
CVPR 2026
Learning Expressive Random Feature Models via Parametrized Activations
UAI 2026
Learning Quantized Continuous Controllers for Integer Hardware
L4DC 2026
Learning Straight Flows: Variational Flow Matching for Efficient Generation
CVPR 2026
Lens Component Deletion based on Differentiable Ray Tracing
CVPR 2026
LESA: Learnable Stage-Aware Predictors for Diffusion Model Acceleration
CVPR 2026
LiDeRe: A Lightweight Readout for Fast and Data-Efficient Dense Prediction
CVPR 2026