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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

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning AAAI 2024
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning AAAI 2024
Coreference Graph Guidance for Mind-Map Generation AAAI 2024
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing AAAI 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract) AAAI 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis AAAI 2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation AAAI 2024
Exploiting Auxiliary Caption for Video Grounding AAAI 2024
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling AAAI 2024
Contrastive Credibility Propagation for Reliable Semi-supervised Learning AAAI 2024
Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning AAAI 2024
Some Like It Small: Czech Semantic Embedding Models for Industry Applications AAAI 2024
Modulate Your Spectrum in Self-Supervised Learning ICLR 2024
Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024
Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation MICCAI 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation ACL 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NIPS 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NIPS 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NIPS 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NIPS 2024