embedding learning

609 papers

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representation learning (6174) metric learning (1189) contrastive learning (3979) zero-shot learning (3637) transfer learning (5442) deep metric learning (123) neural network (6616) text classification (6776) image retrieval (599) unsupervised learning (3255)

Papers

Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples EMNLP 2025

HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? NAACL 2024

Improve Dense Passage Retrieval with Entailment Tuning EMNLP 2024

NALA: an Effective and Interpretable Entity Alignment Method EMNLP 2024

S2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering CVPR 2024

Embedding Learning for Preference-based Speech Quality Assessment INTERSPEECH 2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning IJCAI 2024

Exploring Neural Topic Modeling on a Classical Latin Corpus COLING 2024

Enabling Cross-Platform Comparison of Online Communities Using Content and Opinion Similarity EMNLP 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024

Deep Metric Learning With Chance Constraints WACV 2024

MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment EMNLP 2024

DMON: A Simple Yet Effective Approach for Argument Structure Learning COLING 2024

Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor INTERSPEECH 2024

SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training CVPR 2024

Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species WACV 2024

LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024

Lexically Grounded Subword Segmentation EMNLP 2024

FATE: Feature-Agnostic Transformer-Based Encoder for Learning Generalized Embedding Spaces in Flow Cytometry Data WACV 2024

Concept Space Alignment in Multilingual LLMs EMNLP 2024

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval EMNLP 2024

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models EMNLP 2024

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024

Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces EACL 2024

Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models SEMEVAL 2024