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)

Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models ACL 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging ACL 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation CVPR 2025 UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration AAAI 2025 Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing CVPR 2025 Value Residual Learning ACL 2025 VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting AAAI 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification CVPR 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels AAAI 2025 VERSE: Verification-based Self-Play for Code Instructions AAAI 2025 VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping AAAI 2025 VI^3NR: Variance Informed Initialization for Implicit Neural Representations CVPR 2025 Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation EMNLP 2025 VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation CVPR 2025 Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models CVPR 2025 ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention AAAI 2025 ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba ICCV 2025 VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network CVPR 2025