Representation Learning

Scalable Transfer Learning with Expert Models ICLR 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021 Scale-Localized Abstract Reasoning CVPR 2021 Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Scaling-Up Disentanglement for Image Translation ICCV 2021 Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision ICML 2021 Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans CVPR 2021 SceneGen: Learning To Generate Realistic Traffic Scenes CVPR 2021 Scene Graph Embeddings Using Relative Similarity Supervision AAAI 2021 Scientific Discourse Tagging for Evidence Extraction EACL 2021 Score-Based Point Cloud Denoising ICCV 2021 Script Parsing with Hierarchical Sequence Modelling ACL 2021 SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021 SE(3)-equivariant prediction of molecular wavefunctions and electronic densities NeurIPS 2021 SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning AAAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning CVPR 2021 Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model EMNLP 2021 “See what I mean, huh?” Evaluating Visual Inspection of F0Tracking in Nasal Grunts Interspeech 2021 Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation Interspeech 2021 Segmenting Hybrid Trajectories using Latent ODEs ICML 2021 Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention ACL 2021 Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification NAACL 2021 Self-Alignment Pretraining for Biomedical Entity Representations NAACL 2021