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
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'25
Papers (including subtopics)
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
ACL 2025
DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
CVPR 2025
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
AAAI 2025
Designing and Contextualising Probes for African Languages
ACL 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
CVPR 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes
AAAI 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
WACV 2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
AAAI 2025
DiffSkip: Differential Layer Skipping in Large Language Models
ACL 2025
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
CVPR 2025
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
ICML 2025
Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs
ACL 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
ICCV 2025
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
AAAI 2025
Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning
ICML 2025
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
ACL 2025
Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection
UAI 2025
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
CVPR 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
ICCV 2025
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
CVPR 2025
DocMamba: Efficient Document Pre-training with State Space Model
AAAI 2025