Application Areas

Sparse Universal Transformer EMNLP 2023 Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints ICLR 2023 SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023 SparseVSR: Lightweight and Noise Robust Visual Speech Recognition Interspeech 2023 Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers CVPR 2023 Sparsity Agnostic Depth Completion WACV 2023 Sparsity-Constrained Optimal Transport ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 Sparsity-Preserving Differentially Private Training of Large Embedding Models NeurIPS 2023 Spatial Consistency Loss for Training Multi-Label Classifiers From Single-Label Annotations WACV 2023 Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023 Spatialization Quality Metric for Binaural Speech Interspeech 2023 Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning Interspeech 2023 Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution ICCV 2023 Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks IJCAI 2023 SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data NeurIPS 2023 Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes ICCV 2023 Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction AAAI 2023 Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation CVPR 2023 SPC: Soft Prompt Construction for Cross Domain Generalization ACL 2023 Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach Interspeech 2023 Speaking Multiple Languages Affects the Moral Bias of Language Models ACL 2023 Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style CVPR 2023 Specifying and Testing k-Safety Properties for Machine-Learning Models IJCAI 2023 Spectral Augmentations for Graph Contrastive Learning AISTATS 2023