representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026

Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026

Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning AAAI 2026

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026

AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching AAAI 2026

BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition AAAI 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge AAAI 2026

Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering AAAI 2026

Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection AAAI 2026

GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction AAAI 2026

Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026

Permutation Equivariant Framelet-based Hypergraph Neural Networks AAAI 2026

Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception AAAI 2026

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 2026

Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering AAAI 2026

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning AAAI 2026

On Stealing Graph Neural Network Models AAAI 2026

Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series AAAI 2026

U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026

Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026

Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models AAAI 2026

Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network AAAI 2026