Skip to content
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

16
60
675
1,352
'10
'15
'20
'25

Papers (including subtopics)

QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025 QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression AAAI 2025 QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead AAAI 2025 Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025 QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025 QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025 Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation WACV 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models AAAI 2025 QUADS: Quantized Distillation Framework for Efficient Speech Language Understanding Interspeech 2025 Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis ACL 2025 Quality over Quantity in Attention Layers: When Adding More Heads Hurts ICLR 2025 QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation ICCV 2025 Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations ICLR 2025 Quantization without Tears CVPR 2025 Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs EMNLP 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning ACL 2025 Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025 RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025 Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 Rate of Model Collapse in Recursive Training AISTATS 2025