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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

FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures ACL 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Fine-Grained Image Retrieval via Dual-Vision Adaptation AAAI 2026 Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning CVPR 2026 Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UAI 2026 Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026 Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment AAAI 2026 Foundation-Adaptive Integrated Refinement for Generalized Category Discovery AAAI 2026 Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning CVPR 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning AAAI 2026 From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples AAAI 2026 From Representation to Reasoning: Toward General-Purpose Visual Intelligence AAAI 2026 From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions EACL 2026 From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning AAAI 2026 From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning CVPR 2026 FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining AAAI 2026 GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026 GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery MIDL 2026 Gene Incremental Learning for Single-Cell Transcriptomics AAAI 2026 Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields MIDL 2026 Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering AAAI 2026 GeoWorld: Geometric World Models CVPR 2026 Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives AAAI 2026 Grounding Descriptions in Images informs Zero-Shot Visual Recognition WACV 2026