Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Keywords
embedding learning
609 papers
Explore in graph
Co-occurring keywords
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
Embedding Mental Health Discourse for Community Recommendation
ACL 2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective
AAAI 2023
A Statistical Perspective on Retrieval-Based Models
ICML 2023
Generalized Sum Pooling for Metric Learning
ICCV 2023
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
ICCV 2023
Learning Better Representations Using Auxiliary Knowledge
AAAI 2023
Learning Attention As Disentangler for Compositional Zero-Shot Learning
CVPR 2023
Latent Space Translation via Semantic Alignment
NIPS 2023
ECAPA++: Fine-grained Deep Embedding Learning for TDNN Based Speaker Verification
INTERSPEECH 2023
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds
INTERSPEECH 2023
Retrieval-Enhanced Dual Encoder Training for Product Matching
EMNLP 2023
DC-Former: Diverse and Compact Transformer for Person Re-identification
AAAI 2023
Hyperbolic Representation Learning: Revisiting and Advancing
ICML 2023
Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs
EMNLP 2023
Description and analysis of the KPT system for NIST Language Recognition Evaluation 2022
INTERSPEECH 2023
BT^2: Backward-compatible Training with Basis Transformation
ICCV 2023
Learning Attention Propagation for Compositional Zero-Shot Learning
WACV 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models
EMNLP 2023
Acoustic Feature Shuffling Network for Text-independent Speaker Verification
INTERSPEECH 2022
Learning and Evaluating Character Representations in Novels
ACL 2022
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion
ACL 2022
Improving Discriminative Learning for Zero-Shot Relation Extraction
ACL 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NIPS 2022
A multi-level approach for hierarchical Ticket Classification
COLING 2022
<
1
…
9
10
11
…
25
>