← Learning Types
Deep Learning › Learning Types ›

Contrastive Learning

1193 directly classified papers

Papers per year

Papers

MuCAL: Contrastive Alignment for Preference-Driven KG-to-Text Generation EMNLP 2025
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning EMNLP 2025
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models EMNLP 2025
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models AAAI 2025
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D EMNLP 2025
PersonaBooth: Personalized Text-to-Motion Generation CVPR 2025
Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction EMNLP 2025
Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning CVPR 2025
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation ACL 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization AAAI 2025
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation AAAI 2025
Contrastive Sequential-Diffusion Learning: Non-Linear and Multi-Scene Instructional Video Synthesis WACV 2025
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack AAAI 2025
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning AAAI 2025
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration AAAI 2025
Learning the Power of "No": Foundation Models with Negations WACV 2025
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion AAAI 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025