Embedding Learning

Learning Latent Partial Matchings with Gumbel-IPF Networks AISTATS 2024 Learning Low-dimensional Multi-domain Knowledge Graph Embedding via Dual Archimedean Spirals ACL 2024 Learning Multimodal Contrast with Cross-modal Memory and Reinforced Contrast Recognition ACL 2024 Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer Interspeech 2024 Learning Representations for Hierarchies with Minimal Support NeurIPS 2024 Learning Spatially-Aware Language and Audio Embeddings NeurIPS 2024 Learning Structured Representations with Hyperbolic Embeddings NeurIPS 2024 Learning Visual Body-Shape-Aware Embeddings for Fashion Compatibility WACV 2024 Levenshtein Distance Embedding with Poisson Regression for DNA Storage AAAI 2024 Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design ICLR 2024 Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding EACL 2024 Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort NAACL 2024 Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NeurIPS 2024 Lexically Grounded Subword Segmentation EMNLP 2024 LGMRec: Local and Global Graph Learning for Multimodal Recommendation AAAI 2024 LidarCLIP or: How I Learned To Talk to Point Clouds WACV 2024 Linear Cross-Lingual Mapping of Sentence Embeddings ACL 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Linking Judgement Text to Court Hearing Videos: UK Supreme Court as a Case Study COLING 2024 Link Prediction in Multilayer Networks via Cross-Network Embedding AAAI 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis COLING 2024 Loki: Low-rank Keys for Efficient Sparse Attention NeurIPS 2024 LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024 LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search NeurIPS 2024