contrastive learning

3979 papers

Also known as

CONTRASTIVE-IDM COCLR CMS CL HINCE CPL CA CPC CLUE RINCE LCA FCL SC CACO CLR JCL ITC SCL SOFT-IC MNR CBL SOLAR SUPCON NT-XENT KCL GACL SEMCL CRS CVCL MCR DML NCCL CLKS CLIP CLAP COLAM GCL SIMCTG NCL INFONCE NCE DCL ICOL LCL CCL

Co-occurring keywords

representation learning (6174) self-supervised learning (3751) multimodal learning (4622) unsupervised learning (3255) graph neural network (3945) vision-language model (2235) zero-shot learning (3637) domain adaptation (4578) large language model (12755) transfer learning (5442)

Papers

CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles ACL 2024

CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy NIPS 2024

Accelerating Augmentation Invariance Pretraining NIPS 2024

Unified Lexical Representation for Interpretable Visual-Language Alignment NIPS 2024

OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction INTERSPEECH 2024

A Contrastive Learning Approach to Mitigate Bias in Speech Models INTERSPEECH 2024

Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data INTERSPEECH 2024

Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning INTERSPEECH 2024

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024

Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training COLING 2024

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024

LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis COLING 2024

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment COLING 2024

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024

PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024

Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding COLING 2024

Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024

Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024

Graph-Aware Contrasting for Multivariate Time-Series Classification AAAI 2024

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024

Multi-Label Supervised Contrastive Learning AAAI 2024

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024