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)

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks AAAI 2025 SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ACL 2025 SPvR: Structured Pruning via Ranking UAI 2025 Squeezed Attention: Accelerating Long Context Length LLM Inference ACL 2025 SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening AAAI 2025 SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting ICCV 2025 Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025 Star with Bilinear Mapping CVPR 2025 State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models ACL 2025 Statistical Guarantees for Unpaired Image-to-Image Cross-Domain Analysis using GANs AISTATS 2025 Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Steering LLM Reasoning Through Bias-Only Adaptation EMNLP 2025 Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models EMNLP 2025 Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs’ Reasoning EMNLP 2025 Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models ACL 2025 StitchLLM: Serving LLMs, One Block at a Time ACL 2025 Stochastic Rounding for LLM Training: Theory and Practice AISTATS 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More EMNLP 2025 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 Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025 Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget CVPR 2025 Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation AAAI 2025 Structure based SAT dataset for analysing GNN generalisation AISTATS 2025