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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)

UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection SemEval 2024 Unbiased Active Semi-supervised Binary Classification Models IJCAI 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024 Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection COLING 2024 Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MIDL 2024 Uncertainty Estimation by Density Aware Evidential Deep Learning ICML 2024 Uncertainty Estimation with Recursive Feature Machines UAI 2024 Uncertainty for Active Learning on Graphs ICML 2024 Uncertainty-Guided Modal Rebalance for Hateful Memes Detection ACL 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Uncertainty Quantification of MLE for Entity Ranking with Covariates JMLR 2024 Uncertainty Regularized Evidential Regression AAAI 2024 Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning ICLR 2024 Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media COLING 2024 Uncovering Social Changes of the Basque Speaking Twitter Community During COVID-19 Pandemic COLING 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding and Patching Compositional Reasoning in LLMs ACL 2024 Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ICLR 2024 Understanding Bias in Large-Scale Visual Datasets NeurIPS 2024 Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024 Understanding Domain Generalization: A Noise Robustness Perspective ICLR 2024 Understanding Fine-grained Distortions in Reports of Scientific Findings ACL 2024 Understanding Forgetting in Continual Learning with Linear Regression ICML 2024 Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NeurIPS 2024