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

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

Online Multi-Relational Clustering with Dominant View Mining AAAI 2026

Interest-driven Deep Multi-modal Clustering AAAI 2026

Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics AAAI 2026

Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract) AAAI 2026

CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis AAAI 2026

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities AAAI 2026

Context-aware Graph Meta-learning AAAI 2026

Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025

A Compact Model for Mathematics Problem Representations Distilled from BERT AAAI 2025

Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025