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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
'5
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'25

Papers (including subtopics)

LEVER: Learning to Verify Language-to-Code Generation with Execution ICML 2023 Lexical Translation Inconsistency-Aware Document-Level Translation Repair ACL 2023 Lexicools at SemEval-2023 Task 10: Sexism Lexicon Construction via XAI SemEval 2023 Lexinvariant Language Models NeurIPS 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval ICCV 2023 LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023 LFTK: Handcrafted Features in Computational Linguistics ACL 2023 LGI-GT: Graph Transformers with Local and Global Operators Interleaving IJCAI 2023 LICO: Explainable Models with Language-Image COnsistency NeurIPS 2023 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs AAAI 2023 Lifelong Multi-view Spectral Clustering IJCAI 2023 LightGlue: Local Feature Matching at Light Speed ICCV 2023 Lightweight Image Super-Resolution with Superpixel Token Interaction ICCV 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023 Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023 Limits, approximation and size transferability for GNNs on sparse graphs via graphops NeurIPS 2023 Linear Causal Disentanglement via Interventions ICML 2023 Linear Classifier: An Often-Forgotten Baseline for Text Classification ACL 2023 Linear Connectivity Reveals Generalization Strategies ICLR 2023 Linear Discriminative Learning: a competitive non-neural baseline for morphological inflection ACL 2023 Linear optimal partial transport embedding ICML 2023 Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023 Linear Spaces of Meanings: Compositional Structures in Vision-Language Models ICCV 2023 Linear Time Algorithms for k-means with Multi-Swap Local Search NeurIPS 2023 Ling-CL: Understanding NLP Models through Linguistic Curricula EMNLP 2023