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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)

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025 Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture IJCAI 2025 Weakly-Supervised Contrastive Learning for Imprecise Class Labels ICML 2025 Weakly Supervised Video Scene Graph Generation via Natural Language Supervision ICLR 2025 Weapon Activity Recognition AAAI 2025 Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation IJCAI 2025 Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions ACL 2025 WebQuality: A Large-scale Multi-modal Web Page Quality Assessment Dataset with Multiple Scoring Dimensions NAACL 2025 Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning ACL 2025 Weighted Embeddings for Low-Dimensional Graph Representation AAAI 2025 Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metric ICLR 2025 Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning ACL 2025 WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks ACL 2025 What can Large Language Models Capture about Code Functional Equivalence? NAACL 2025 What Can We Learn From MIMO Graph Convolutions? IJCAI 2025 What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT CoNLL 2025 What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits ICLR 2025 What is Beneath Misogyny: Misogynous Memes Classification and Explanation IJCAI 2025 What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization ACL 2025 What is the Best Sequence Length for BabyLM? EMNLP 2025 What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025 What Makes Freezing Layers in Deep Neural Networks Effective? A Linear Separability Perspective AutoML 2025 What Makes Large Language Models Reason in (Multi-Turn) Code Generation? ICLR 2025 What Makes You CLIC: Detection of Croatian Clickbait Headlines ACL 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models ICLR 2025