conftrace_
← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3,535 papers

Papers per year

Papers

Collaborative Contrastive Learning for Hypothesis Domain Adaptation INTERSPEECH 2024
RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification INTERSPEECH 2024
Neural Compression Augmentation for Contrastive Audio Representation Learning INTERSPEECH 2024
W-GVKT: Within-Global-View Knowledge Transfer for Speaker Verification INTERSPEECH 2024
CEC: A Noisy Label Detection Method for Speaker Recognition INTERSPEECH 2024
Contrastive Learning and Inter-Speaker Distribution Alignment Based Unsupervised Domain Adaptation for Robust Speaker Verification INTERSPEECH 2024
HybridVC: Efficient Voice Style Conversion with Text and Audio Prompts INTERSPEECH 2024
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition INTERSPEECH 2024
Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations INTERSPEECH 2024
SCDNet: Self-supervised Learning Feature based Speaker Change Detection INTERSPEECH 2024
Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models INTERSPEECH 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation INTERSPEECH 2024
GPA: Global and Prototype Alignment for Audio-Text Retrieval INTERSPEECH 2024
Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation MICCAI 2024
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning NAACL 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations NAACL 2024
Visually-Aware Context Modeling for News Image Captioning NAACL 2024
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding NAACL 2024
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification NAACL 2024
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation NAACL 2024
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding NAACL 2024
ContraSim – Analyzing Neural Representations Based on Contrastive Learning NAACL 2024
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning NAACL 2024
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment NAACL 2024
MaCSC: Towards Multimodal-augmented Pre-trained Language Models via Conceptual Prototypes and Self-balancing Calibration NAACL 2024