Techniques

Self-ensemble Adversarial Training for Improved Robustness ICLR 2022 Self-explaining deep models with logic rule reasoning NeurIPS 2022 SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training COLING 2022 Self-Supervised Models Are Continual Learners CVPR 2022 Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022 Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis CVPR 2022 Self-supervised Representation Learning for Speech Processing NAACL 2022 Self-Supervised Shape Alignment for Sports Field Registration WACV 2022 Semantic-based Pre-training for Dialogue Understanding COLING 2022 Semantic Diffusion Network for Semantic Segmentation NeurIPS 2022 SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge SemEval 2022 Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022 Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets ICML 2022 SGAT: Simplicial Graph Attention Network IJCAI 2022 ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks ICML 2022 Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding CVPR 2022 SHINE: SubHypergraph Inductive Neural nEtwork NeurIPS 2022 Signal Processing for Implicit Neural Representations NeurIPS 2022 Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse NeurIPS 2022 Signing the Supermask: Keep, Hide, Invert ICLR 2022 Silo NLP’s Participation at WAT2022 COLING 2022 SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization CVPR 2022 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Simple but Effective: CLIP Embeddings for Embodied AI CVPR 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022