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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

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025 GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling AAAI 2025 General Incomplete Time Series Analysis via Patch Dropping Without Imputation IJCAI 2025 Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025 Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors ICLR 2025 Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection ICCV 2025 GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers ICCV 2025 Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset AAAI 2025 Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning AAAI 2025 Geometric Signatures of Compositionality Across a Language Model’s Lifetime ACL 2025 Geometry of Lightning Self-Attention: Identifiability and Dimension ICLR 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions ICLR 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation ICLR 2025 GIF: Generative Inspiration for Face Recognition at Scale CVPR 2025 GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation ICCV 2025 Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering AAAI 2025 GOFA: A Generative One-For-All Model for Joint Graph Language Modeling ICLR 2025 Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network IJCAI 2025 GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs AAAI 2025 Graph Embedded Contrastive Learning for Multi-View Clustering IJCAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective ICLR 2025 Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales AAAI 2025 Graph Structure Refinement with Energy-based Contrastive Learning AAAI 2025 Group-SAE: Efficient Training of Sparse Autoencoders for Large Language Models via Layer Groups EMNLP 2025