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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

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation IJCAI 2024
Span-based Unified Named Entity Recognition Framework via Contrastive Learning IJCAI 2024
Incorporating Schema-Aware Description into Document-Level Event Extraction IJCAI 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification IJCAI 2024
Articulatory synthesis using representations learnt through phonetic label-aware contrastive loss INTERSPEECH 2024
Neural Compression Augmentation for Contrastive Audio Representation Learning INTERSPEECH 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification INTERSPEECH 2024
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition INTERSPEECH 2024
SCDNet: Self-supervised Learning Feature based Speaker Change Detection INTERSPEECH 2024
AR-NLU: A Framework for Enhancing Natural Language Understanding Model Robustness against ASR Errors INTERSPEECH 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation INTERSPEECH 2024
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval INTERSPEECH 2024
Self-Supervised Learning with Multi-Head Multi-Mode Knowledge Distillation for Speaker Verification INTERSPEECH 2024
M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation INTERSPEECH 2024
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music AAAI 2024
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model NIPS 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NIPS 2024
Learning Spatially-Aware Language and Audio Embeddings NIPS 2024
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NIPS 2024
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery EMNLP 2024
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection EMNLP 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning EMNLP 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery AAAI 2024