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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)

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024 Learning with Structural Labels for Learning with Noisy Labels CVPR 2024 Least Squares Regression Can Exhibit Under-Parameterized Double Descent NeurIPS 2024 Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024 LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024 Lemmatisation of Medieval Greek: Against the Limits of Transformer’s Capabilities? COLING 2024 Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation ACL 2024 Length Optimization in Conformal Prediction NeurIPS 2024 Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate NSDI 2024 LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent ACL 2024 LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024 Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning EMNLP 2024 Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment EMNLP 2024 Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach WACV 2024 Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models COLING 2024 Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery IJCAI 2024 Let There Be Sound: Reconstructing High Quality Speech from Silent Videos AAAI 2024 Levenshtein Distance Embedding with Poisson Regression for DNA Storage AAAI 2024 Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract) AAAI 2024 Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content CoNLL 2024 Leveraging AMR Graph Structure for Better Sequence-to-Sequence AMR Parsing COLING 2024 Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training EMNLP 2024 Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction ACL 2024 Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset EMNLP 2024 Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NeurIPS 2024