← Learning Types

Machine Learning › Learning Types ›

Contrastive Learning

3535 directly classified papers

Papers per year

Papers

SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability AAAI 2026

Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation AAAI 2026

EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026

Symmetry-Aware Transformer Training for Automated Planning AAAI 2026

Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text AAAI 2026

Unsupervised Semantic Discovery via Global and Local Semantic Alignment in Multimodal Clustering AAAI 2026

Ellipsoid-Based Decision Boundaries for Open Intent Classification AAAI 2026

The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models AAAI 2026

Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor AAAI 2026

HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing AAAI 2026

Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization AAAI 2026

Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026

DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion AAAI 2026

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models AAAI 2026

HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment AAAI 2026

MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026

FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models AAAI 2026

DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering AAAI 2026

Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026

PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation AAAI 2026

Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation AAAI 2026

Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling AAAI 2026

KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering AAAI 2026

Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels AAAI 2026

Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning AAAI 2026