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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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Papers (including subtopics)

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NeurIPS 2024 Classification Done Right for Vision-Language Pre-Training NeurIPS 2024 Classification of Buddhist Verses: The Efficacy and Limitations of Transformer-Based Models EMNLP 2024 Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks JMLR 2024 Classification of Room Impulse Responses and its application for channel verification and diarization Interspeech 2024 Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference ICML 2024 Classification Under Strategic Self-Selection ICML 2024 Classification with Conceptual Safeguards ICLR 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 Classifier-guided Gradient Modulation for Enhanced Multimodal Learning NeurIPS 2024 Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task ACL 2024 Class-Imbalanced Graph Learning without Class Rebalancing ICML 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction ICLR 2024 Class Probability Matching with Calibrated Networks for Label Shift Adaption ICLR 2024 Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition IJCAI 2024 ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models NeurIPS 2024 Clifford Group Equivariant Simplicial Message Passing Networks ICLR 2024 CLIM: Contrastive Language-Image Mosaic for Region Representation AAAI 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation CVPR 2024 CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning NeurIPS 2024 CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes ICML 2024 Close Imitation of Expert Retouching for Black-and-White Photography CVPR 2024 ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024