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Methodology
← Core Methods
Machine Learning
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Core Methods
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Representation Learning
18863 directly classified papers
Papers per year
2000: 2
2001: 4
2002: 2
2003: 18
2004: 4
2005: 9
2006: 62
2007: 61
2008: 74
2009: 73
2010: 96
2011: 103
2012: 131
2013: 283
2014: 255
2015: 295
2016: 426
2017: 691
2018: 1066
2019: 1798
2020: 1830
2021: 2207
2022: 2109
2023: 2560
2024: 2177
2025: 1926
2026: 601
Papers
YNU-HPCC at SemEval-2025 Task 1: Enhancing Multimodal Idiomaticity Representation via LoRA and Hybrid Loss Optimization
SEMEVAL 2025
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
WACV 2025
3D Shape Completion using Multi-Resolution Spectral Encoding
WACV 2025
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
WACV 2025
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
WACV 2025
Shift Equivariant Pose Network
WACV 2025
Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition
WACV 2025
Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction
WACV 2025
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
IJCAI 2025
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
COLING 2025
A Compressive Memory-based Retrieval Approach for Event Argument Extraction
COLING 2025
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
COLING 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation
IJCAI 2025
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
IJCAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes
IJCAI 2025
GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing
IJCAI 2025
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction
IJCAI 2025
Stochasticity-aware No-Reference Point Cloud Quality Assessment
IJCAI 2025
EnergyCompress: A General Case Base Learning Strategy
IJCAI 2025
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
IJCAI 2025
Tensorial Multi-view Clustering with Deep Anchor Graph Projection
IJCAI 2025
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
IJCAI 2025
View-Association-Guided Dynamic Multi-View Classification
IJCAI 2025
CTR-Guided Generative Query Suggestion in Conversational Search
EMNLP 2025
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