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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)

Universal Graph Self-Contrastive Learning IJCAI 2025 Universal Image Restoration Pre-training via Degradation Classification ICLR 2025 Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation COLT 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 Universality of Real Minimal Complexity Reservoir AAAI 2025 Universal Length Generalization with Turing Programs ICML 2025 Universal Preference-Score-based Pairwise Speech Quality Assessment Interspeech 2025 Universal Scene Graph Generation CVPR 2025 Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment ICML 2025 UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction ICCV 2025 University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection SemEval 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery AAAI 2025 Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition AAAI 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study ICLR 2025 Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs EMNLP 2025 Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets COLING 2025 (Un)Natural Language NeurIPS 2025 Unnatural Languages Are Not Bugs but Features for LLMs ICML 2025 Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning EMNLP 2025