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Deep Learning
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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
On Effects of Steering Latent Representation for Large Language Model Unlearning
AAAI 2025
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
AAAI 2025
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
AAAI 2025
Graph Structure Refinement with Energy-based Contrastive Learning
AAAI 2025
SemVink: Advancing VLMs’ Semantic Understanding of Optical Illusions via Visual Global Thinking
EMNLP 2025
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
AAAI 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
AAAI 2025
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
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