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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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'25

Papers (including subtopics)

Language Models Identify Ambiguities and Exploit Loopholes EMNLP 2025 Language Models Need Inductive Biases to Count Inductively ICLR 2025 Language Models Predict Empathy Gaps Between Social In-groups and Out-groups NAACL 2025 Language Pre-training Guided Masking Representation Learning for Time Series Classification AAAI 2025 Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages AAAI 2025 Language Surgery in Multilingual Large Language Models EMNLP 2025 LangVAE and LangSpace: Building and Probing for Language Model VAEs EMNLP 2025 Laniqo at WMT25 Terminology Translation Task: A Multi-Objective Reranking Strategy for Terminology-Aware Translation via Pareto-Optimal Decoding EMNLP 2025 LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection ICML 2025 Large Covariance Matrix Estimation With Nonnegative Correlations AISTATS 2025 Large Language and Protein Assistant for Protein-Protein Interactions Prediction ACL 2025 Large Language Model Meets Graph Neural Network in Knowledge Distillation AAAI 2025 Large Language Models are Good Relational Learners ACL 2025 Large Language Models Are Natural Video Popularity Predictors ACL 2025 Large Language Models Are Overparameterized Text Encoders NAACL 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 Large Language Models can Become Strong Self-Detoxifiers ICLR 2025 Large Language Models Do Multi-Label Classification Differently EMNLP 2025 Large Language Models Encode Semantics and Alignment in Linearly Separable Representations IJCNLP 2025 Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey NAACL 2025 Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias NAACL 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels CVPR 2025 LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior ICLR 2025 Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging SemEval 2025