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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Expressive Power of Temporal Message Passing
AAAI 2025
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
AAAI 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
AAAI 2025
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
AAAI 2025
Structured IB: Improving Information Bottleneck with Structured Feature Learning
AAAI 2025
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
CVPR 2025
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
EMNLP 2025
Behaviour Preference Regression for Offline Reinforcement Learning
AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
AAAI 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
AAAI 2025
Destroy and Repair Using Hyper-Graphs for Routing
AAAI 2025
On the Power of Convolution-Augmented Transformer
AAAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
AAAI 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
AAAI 2025
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
AAAI 2025
Emergence-Inspired Multi-Granularity Causal Learning
AAAI 2025
Discrete Curvature Graph Information Bottleneck
AAAI 2025
HYGENE: A Diffusion-Based Hypergraph Generation Method
AAAI 2025
Learning Physics Informed Neural ODEs with Partial Measurements
AAAI 2025
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
AAAI 2025
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
AAAI 2025
Heterogeneous Graph Neural Network on Semantic Tree
AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning
AAAI 2025
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