representation learning

When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023 Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression ICML 2023 White-Box Transformers via Sparse Rate Reduction NeurIPS 2023 Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings EMNLP 2023 xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data NeurIPS 2023 You Are What You Annotate: Towards Better Models through Annotator Representations EMNLP 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding ICLR 2023 ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification ACL 2023 3D Infomax improves GNNs for Molecular Property Prediction ICML 2022 A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing ICML 2022 Accelerating Code Search with Deep Hashing and Code Classification ACL 2022 Accuracy meets Diversity in a News Recommender System COLING 2022 A Closer Look at How Fine-tuning Changes BERT ACL 2022 A Closer Look at Offline RL Agents NeurIPS 2022 A Contrastive Framework for Neural Text Generation NeurIPS 2022 Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection Interspeech 2022 Active Learning by Feature Mixing CVPR 2022 Active Learning Through a Covering Lens NeurIPS 2022 Active Multi-Task Representation Learning ICML 2022 Adapting a Language Model While Preserving its General Knowledge EMNLP 2022 Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection CVPR 2022 Adaptive Kernel Graph Neural Network AAAI 2022 Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022 Adaptive Poincaré Point to Set Distance for Few-Shot Classification AAAI 2022 Adaptive Wavelet Transformer Network for 3D Shape Representation Learning ICLR 2022