representation learning

Improved Representation Learning Through Tensorized Autoencoders AISTATS 2023 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 Improved Training of Deep Text Clustering EMNLP 2023 Improving Adaptive Conformal Prediction Using Self-Supervised Learning AISTATS 2023 Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE EMNLP 2023 Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning ACL 2023 Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques ACL 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023 Improving Joint Speech-Text Representations Without Alignment Interspeech 2023 Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation EMNLP 2023 Improving Named Entity Recognition via Bridge-based Domain Adaptation ACL 2023 Improving neural network representations using human similarity judgments NeurIPS 2023 Improving Representation Learning for Histopathologic Images with Cluster Constraints ICCV 2023 Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL 2023 Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Interspeech 2023 Improving Syntactic Probing Correctness and Robustness with Control Tasks ACL 2023 Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings EACL 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning EACL 2023 Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023 Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers AAAI 2023 In-Context Learning Creates Task Vectors EMNLP 2023 Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training ACL 2023 Inducing Neural Collapse in Deep Long-tailed Learning AISTATS 2023 InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective EMNLP 2023