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conftrace_

representation learning

6,926 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation CVPR 2026 Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning AAAI 2026 Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026 High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks AAAI 2026 HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction AAAI 2026 How Much Pretraining Does Structured Data Need? EACL 2026 Hybrid-Domain Adaptative Representation Learning for Gaze Estimation AAAI 2026 Hyperbolic Gramian Volumes for Multimodal Alignment CVPR 2026 HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting AAAI 2026 IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification AAAI 2026 Imbalanced View Contribution Evaluation and Refinement for Deep Incomplete Multi-View Clustering CVPR 2026 Improving Hate Speech Detection by Fusing Textual and User Interaction Representations in Online Communities ACL 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision AAAI 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026 Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion AAAI 2026 Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space WACV 2026 Interest-driven Deep Multi-modal Clustering AAAI 2026 Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics CVPR 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Investigating Self-Supervised Representations for Audio-Visual Deepfake Detection CVPR 2026 Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models ACL 2026 Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors EACL 2026 Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026 Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild CVPR 2026