Neural Network Optimization

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022 Critical Points in Quantum Generative Models ICLR 2022 Cross-Scale Vector Quantization for Scalable Neural Speech Coding Interspeech 2022 C-VTON: Context-Driven Image-Based Virtual Try-On Network WACV 2022 Deciphering Environmental Air Pollution with Large Scale City Data IJCAI 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Deep and Flexible Graph Neural Architecture Search ICML 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Deep equilibrium networks are sensitive to initialization statistics ICML 2022 Deep Equilibrium Optical Flow Estimation CVPR 2022 Deep Learning in Target Space JMLR 2022 Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers ICLR 2022 Deep residual spiking neural network for keyword spotting in low-resource settings Interspeech 2022 Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022 DESTR: Object Detection With Split Transformer CVPR 2022 Deterministic policy gradient: Convergence analysis UAI 2022 Differentiable Top-k Classification Learning ICML 2022 DN-DETR: Accelerate DETR Training by Introducing Query DeNoising CVPR 2022 Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 Does the Data Induce Capacity Control in Deep Learning? ICML 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022 Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation WACV 2022