← Optimization & Theory
Deep Learning › Optimization & Theory ›

Neural Network Optimization

902 directly classified papers

Papers per year

Papers

Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior CVPR 2022
Exploiting Explainable Metrics for Augmented SGD CVPR 2022
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection CVPR 2022
Subspace Adversarial Training CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
Federated Learning With Position-Aware Neurons CVPR 2022
Reflash Dropout in Image Super-Resolution CVPR 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition CVPR 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification NIPS 2022
Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning AAAI 2022
Proximal PanNet: A Model-Based Deep Network for Pansharpening AAAI 2022
Scaled ReLU Matters for Training Vision Transformers AAAI 2022
Orthogonal Graph Neural Networks AAAI 2022
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks AAAI 2022
JFB: Jacobian-Free Backpropagation for Implicit Networks AAAI 2022
A Computable Definition of the Spectral Bias AAAI 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract) AAAI 2022
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) AAAI 2022