conftrace_

Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

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

'20

'25

Papers (including subtopics)

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction ACL 2026 From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models ACL 2026 From Sketch to Fresco: Efficient Diffusion Transformer with Progressive Resolution CVPR 2026 From Weights to Concepts: Data-Free Interpretability of CLIP via Singular Vector Decomposition CVPR 2026 Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression CVPR 2026 GeCo: Geometry-Consistent Regularization for Domain Generalized Semantic Segmentation CVPR 2026 Generative Modeling of Weights: Generalization or Memorization? CVPR 2026 GeoRK2: Geometry-Guided Runge-Kutta Integration for Diffusion Transformer Acceleration CVPR 2026 GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026 Global Information Thresholding for Sufficient and Necessary Circuits CVPR 2026 Globscope: Toward a Global View of the Loss Landscape CVPR 2026 Glyph: Scaling Context Windows via Visual-Text Compression ACL 2026 GMoE: Global Mixture of Experts with Logit Propagation ACL 2026 GraCE: Unlocking CUDA Graphs with Compiler Support for ML Workloads OSDI 2026 Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 Gradient Knows Best: Mixed-Precision Quantization via Gradient-Guided Bit Allocation for Super-Resolution CVPR 2026 Gradient Span Algorithms Make Predictable Progress in High Dimension JMLR 2026 GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models ACL 2026 GR-Gauge: Cost-efficient Training Configuration By Gauging the Gradient Redundancy CVPR 2026 Grokked Models are Better Unlearners UAI 2026 GS^2: Graph-based Spatial Distribution Optimization for Compact 3D Gaussian Splatting CVPR 2026 GSNR: Graph Smooth Null-Space Representation for Inverse Problems CVPR 2026 Guiding Token-Sparse Diffusion Models CVPR 2026 HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models CVPR 2026 HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding ACL 2026