Architectures

SparseMAE: Sparse Training Meets Masked Autoencoders ICCV 2023 Sparse Mixture-of-Experts are Domain Generalizable Learners ICLR 2023 Sparse Modular Activation for Efficient Sequence Modeling NeurIPS 2023 Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers ICLR 2023 Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images CVPR 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement CVPR 2023 SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks NeurIPS 2023 Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks ICCV 2023 Sparse Token Transformer with Attention Back Tracking ICLR 2023 Sparse Universal Transformer EMNLP 2023 Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints ICLR 2023 Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers CVPR 2023 Sparsity Agnostic Depth Completion WACV 2023 Sparsity-aware generalization theory for deep neural networks COLT 2023 Sparsity-Constrained Optimal Transport ICLR 2023 Spatial Attention Kinetic Networks with E(n)-Equivariance ICLR 2023 Spatial-Aware Token for Weakly Supervised Object Localization ICCV 2023 Spatial Correspondence between Graph Neural Network-Segmented Images MIDL 2023 SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning AAAI 2023 Spatial-Frequency Mutual Learning for Face Super-Resolution CVPR 2023 Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023 Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution ICCV 2023 Spatially Multi-Conditional Image Generation WACV 2023 Spatial-Spectral Transformer for Hyperspectral Image Denoising AAAI 2023 Spatial-Temporal Concept Based Explanation of 3D ConvNets CVPR 2023