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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)

Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention CVPR 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration CVPR 2023
Dimensionality-Varying Diffusion Process CVPR 2023
Adaptive Data-Free Quantization CVPR 2023
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023
Learning To Zoom and Unzoom CVPR 2023
Polynomial Implicit Neural Representations for Large Diverse Datasets CVPR 2023
Neural Video Compression With Diverse Contexts CVPR 2023
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization CVPR 2023
MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer CVPR 2023
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation CVPR 2023
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits CVPR 2023
Tunable Convolutions With Parametric Multi-Loss Optimization CVPR 2023
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography CVPR 2023
Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023
Revisiting Reverse Distillation for Anomaly Detection CVPR 2023
Improved Distribution Matching for Dataset Condensation CVPR 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis CVPR 2023
Transformer-Based Learned Optimization CVPR 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023