neural network architecture

Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method AAAI 2022 FNet: Mixing Tokens with Fourier Transforms NAACL 2022 Focal Sparse Convolutional Networks for 3D Object Detection CVPR 2022 Fusion Point Pruning for Optimized 2D Object Detection With Radar-Camera Fusion WACV 2022 GiraffeDet: A Heavy-Neck Paradigm for Object Detection ICLR 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness UAI 2022 Information Injection to Deep Learning Solutions in Knowledge Transfer IJCAI 2022 ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation CVPR 2022 Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network NeurIPS 2022 Learning Reversible Symplectic Dynamics L4DC 2022 Learning Versatile Neural Architectures by Propagating Network Codes ICLR 2022 Modeling extremes with d-max-decreasing neural networks UAI 2022 Modeling Structure with Undirected Neural Networks ICML 2022 Neural Network Architecture Beyond Width and Depth NeurIPS 2022 Non-deep Networks NeurIPS 2022 Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture CVPR 2022 Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification CLeaR 2022 Prototype Based Classification from Hierarchy to Fairness ICML 2022 QDPN - Quasi-dual-path Network for single-channel Speech Separation Interspeech 2022 RRL: Regional Rotate Layer in Convolutional Neural Networks AAAI 2022 Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs CVPR 2022 Sequencer: Deep LSTM for Image Classification NeurIPS 2022 Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022 Towards Disentangling Information Paths with Coded ResNeXt NeurIPS 2022