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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)

List Sample Compression and Uniform Convergence COLT 2024 Live and Learn: Continual Action Clustering with Incremental Views AAAI 2024 LJPCheck: Functional Tests for Legal Judgment Prediction ACL 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports NAACL 2024 LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning CoRL 2024 LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models ICLR 2024 LLM-Check: Investigating Detection of Hallucinations in Large Language Models NeurIPS 2024 LLM Circuit Analyses Are Consistent Across Training and Scale NeurIPS 2024 LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement EMNLP 2024 LLM-Empowered State Representation for Reinforcement Learning ICML 2024 LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NeurIPS 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language NeurIPS 2024 LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024 LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study EMNLP 2024 LLODIA: A Linguistic Linked Open Data Model for Diachronic Analysis COLING 2024 L+M-24: Building a Dataset for Language+Molecules @ ACL 2024 ACL 2024 LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition ACL 2024 LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI SemEval 2024 Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024 Local Graph Clustering with Noisy Labels ICLR 2024 Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024 Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer MLHC 2024 Locality Preserving Refinement for Shape Matching with Functional Maps AAAI 2024 Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models EACL 2024