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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search AAAI 2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning AAAI 2024
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering AAAI 2024
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm AAAI 2024
RPSC: Robust Pseudo-Labeling for Semantic Clustering AAAI 2024
Towards Making Learnware Specification and Market Evolvable AAAI 2024
Feature Transportation Improves Graph Neural Networks AAAI 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks AAAI 2024
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation AAAI 2024
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract) AAAI 2024
Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems COLING 2024
HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering COLING 2024
Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module COLING 2024
MHGRL: An Effective Representation Learning Model for Electronic Health Records COLING 2024
Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024
Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning COLING 2024
Speech Analysis of Language Varieties in Italy COLING 2024
Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling COLING 2024