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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)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs NeurIPS 2024 A Study of the Class Imbalance Problem in Abusive Language Detection NAACL 2024 A Submodular Optimization Approach to Accountable Loan Approval AAAI 2024 A Survey on Open Information Extraction from Rule-based Model to Large Language Model EMNLP 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 Asymmetric Image Retrieval With Cross Model Compatible Ensembles WACV 2024 Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning ICLR 2024 Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers AISTATS 2024 Asymptotics of feature learning in two-layer networks after one gradient-step ICML 2024 A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change NAACL 2024 A System to Detect Forged-Origin BGP Hijacks NSDI 2024 A Tale of Two Revisions: Summarizing Changes Across Document Versions ACL 2024 ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models EMNLP 2024 A teacher-teacher framework for clinical language representation learning NeurIPS 2024 A Tensor Decomposition Perspective on Second-order RNNs ICML 2024 A tensor factorization model of multilayer network interdependence JMLR 2024 A theoretical design of concept sets: improving the predictability of concept bottleneck models NeurIPS 2024 A Theory of Interpretable Approximations COLT 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 ATLAS: Improving Lay Summarisation with Attribute-based Control ACL 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024 Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024 A Toolbox for Modelling Engagement with Educational Videos AAAI 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 A Touch, Vision, and Language Dataset for Multimodal Alignment ICML 2024