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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'25

Papers (including subtopics)

CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs ACL 2023 Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence AAAI 2023 Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering ICCV 2023 Crowd3D: Towards Hundreds of People Reconstruction From a Single Image CVPR 2023 Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning AAAI 2023 CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials AAAI 2023 CrysMMNet: Multimodal Representation for Crystal Property Prediction UAI 2023 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023 CSECU-DSG at SemEval-2023 Task 10: Exploiting Transformers with Stacked LSTM for the Explainable Detection of Online Sexism SemEval 2023 CSECU-DSG at SemEval-2023 Task 4: Fine-tuning DeBERTa Transformer Model with Cross-fold Training and Multi-sample Dropout for Human Values Identification SemEval 2023 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation NeurIPS 2023 CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews NeurIPS 2023 CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023 Curating Datasets for Better Performance with Example Training Dynamics ACL 2023 Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023 Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach ACL 2023 Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation IJCAI 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding AAAI 2023 Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers ACL 2023 Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification CVPR 2023 Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models NeurIPS 2023 Customizable Image Synthesis with Multiple Subjects NeurIPS 2023 Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction IJCAI 2023