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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)

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs AAAI 2025 Neural Topic Modeling via Contextual and Graph Information Fusion EMNLP 2025 Neural Topic Modeling with Large Language Models in the Loop ACL 2025 Neural Variable-Order Fractional Differential Equation Networks AAAI 2025 Neural Wave Equation for Irregularly Sampled Sequence Data ICLR 2025 Neuro-Guided Graph Search for Symbolic Regression (Student Abstract) AAAI 2025 Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025 Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models ACL 2025 Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability ACL 2025 Neuron-Level Differentiation of Memorization and Generalization in Large Language Models EMNLP 2025 Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning ICLR 2025 Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era IJCAI 2025 Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract) IJCAI 2025 New Algorithms for the Learning-Augmented k-means Problem ICLR 2025 nGPT: Normalized Transformer with Representation Learning on the Hypersphere ICLR 2025 nits_teja_srikar at GenAI Detection Task 2: Distinguishing Human and AI-Generated Essays Using Machine Learning and Transformer Models COLING 2025 NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025 NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification AAAI 2025 NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors ACL 2025 NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025 NLP-ADBench: NLP Anomaly Detection Benchmark EMNLP 2025 NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer SemEval 2025 NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models COLING 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 nlptuducd at SemEval-2025 Task 10: Narrative Classification as a Retrieval Task through Story Embeddings SemEval 2025