Model Architecture

RVT: Robotic View Transformer for 3D Object Manipulation CoRL 2023 SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision EMNLP 2023 Scalable Diffusion Models with Transformers ICCV 2023 ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection NeurIPS 2023 Scaling MLPs: A Tale of Inductive Bias NeurIPS 2023 Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching WACV 2023 Scaling Riemannian Diffusion Models NeurIPS 2023 SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation Interspeech 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023 SEAT: Stable and Explainable Attention AAAI 2023 SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage ICCV 2023 Self-Calibrated Cross Attention Network for Few-Shot Segmentation ICCV 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors ICLR 2023 Self-Feedback DETR for Temporal Action Detection ICCV 2023 Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion WACV 2023 Self-Supervised Implicit Glyph Attention for Text Recognition CVPR 2023 Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains CVPR 2023 Semi-Structured Object Sequence Encoders EMNLP 2023 SERF: Towards Better Training of Deep Neural Networks Using Log-Softplus ERror Activation Function WACV 2023 SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations ICCV 2023 SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks EMNLP 2023 Sheaf Hypergraph Networks NeurIPS 2023 ShiftNAS: Improving One-shot NAS via Probability Shift ICCV 2023 Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction ICCV 2023 Sign Language-to-Text Dictionary with Lightweight Transformer Models IJCAI 2023