embedding space

298 papers

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Co-occurring keywords

representation learning (6174) word embedding (1764) contrastive learning (3979) metric learning (1189) embedding learning (609) deep metric learning (123) large language model (12755) zero-shot learning (3637) transfer learning (5442) few-shot learning (3390)

Papers

Leveraging Graph Structures to Detect Hallucinations in Large Language Models ACL 2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification NIPS 2024

Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval CVPR 2024

KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation CVPR 2024

A Generic Method for Fine-grained Category Discovery in Natural Language Texts EMNLP 2024

Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024

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

Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor CVPR 2024

A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024

Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions COLING 2024

Fine-Grained Alignment for Cross-Modal Recipe Retrieval WACV 2024

Anisotropy is Not Inherent to Transformers NAACL 2024

The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024

Robust AI-Generated Text Detection by Restricted Embeddings EMNLP 2024

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024

BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning CVPR 2024

Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation NIPS 2024

MINERS: Multilingual Language Models as Semantic Retrievers EMNLP 2024

Deep Metric Learning With Chance Constraints WACV 2024

BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024

Empowering Diffusion Models on the Embedding Space for Text Generation NAACL 2024

Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024

Adjusting Interpretable Dimensions in Embedding Space with Human Judgments NAACL 2024

QAGait: Revisit Gait Recognition from a Quality Perspective AAAI 2024