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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)

From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set ICML 2025 From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning ICML 2025 From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora EMNLP 2025 From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing EMNLP 2025 From Language Models over Tokens to Language Models over Characters ICML 2025 From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations ICCV 2025 From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025 From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications ICML 2025 From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering ICLR 2025 From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment ACL 2025 From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection EMNLP 2025 From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking AAAI 2025 From perception to production: how acoustic invariance facilitates articulatory learning in a self-supervised vocal imitation model EMNLP 2025 From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection ICML 2025 From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings COLING 2025 From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025 From Representation Space to Prognostic Insights: Whole Slide Image Generation with Hierarchical Diffusion Model for Survival Prediction AAAI 2025 From Sparse to Complete: Semantic Understanding Based on Stroke Evolution in On-the-fly Sketch-based Image Retrieval IJCAI 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025 From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers ICML 2025 From Tokens to Lattices: Emergent Lattice Structures in Language Models ICLR 2025 From Tokens to Words: On the Inner Lexicon of LLMs ICLR 2025 From Words to Worth: Newborn Article Impact Prediction with LLM AAAI 2025 From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025 Frontiers to the learning of nonparametric hidden Markov models JMLR 2025