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contrastive learning

4032 papers

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Also known as

CL

Co-occurring keywords

representation learning (6206) self-supervised learning (3777) multimodal learning (4645) unsupervised learning (3264) graph neural network (3962) vision-language model (2348) zero-shot learning (3650) domain adaptation (4595) large language model (13587) transfer learning (5449)

Papers

Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? ACL 2024
PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling ACL 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation AAAI 2024
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