conftrace_
← Optimization & Theory
Deep Learning › Optimization & Theory ›

Optimization

1,664 papers

Papers per year

2
22
150
248
'10
'15
'20
'25

Papers

AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021
Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021
Limitations of Post-Hoc Feature Alignment for Robustness CVPR 2021
Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021
DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation CVPR 2021
Cross Modal Focal Loss for RGBD Face Anti-Spoofing CVPR 2021
Tangent Space Backpropagation for 3D Transformation Groups CVPR 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021
A Quasiconvex Formulation for Radial Cameras CVPR 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection CVPR 2021
You Only Look One-Level Feature CVPR 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021
Riggable 3D Face Reconstruction via In-Network Optimization CVPR 2021
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations CVPR 2021
DeRF: Decomposed Radiance Fields CVPR 2021
A Decomposition Model for Stereo Matching CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Training Generative Adversarial Networks in One Stage CVPR 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021