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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

8
50
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1173
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Papers (including subtopics)

Accelerating Dataset Distillation via Model Augmentation CVPR 2023
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023
Learning a Sparse Transformer Network for Effective Image Deraining CVPR 2023
Energy-Efficient Adaptive 3D Sensing CVPR 2023
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023
Real-Time Neural Light Field on Mobile Devices CVPR 2023
Neural Lens Modeling CVPR 2023
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations CVPR 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations CVPR 2023
Initialization Noise in Image Gradients and Saliency Maps CVPR 2023
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER CVPR 2023
Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging CVPR 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023
MobileOne: An Improved One Millisecond Mobile Backbone CVPR 2023
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration CVPR 2023
Efficient Multimodal Fusion via Interactive Prompting CVPR 2023
One-Shot Model for Mixed-Precision Quantization CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning CVPR 2023
On Data Scaling in Masked Image Modeling CVPR 2023
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023
RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark CVPR 2023