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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)

Adaptive Length Image Tokenization via Recurrent Allocation ICLR 2025 Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time ICML 2025 Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics AAAI 2025 Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition AAAI 2025 Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting AAAI 2025 Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement CVPR 2025 Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval AAAI 2025 Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective AAAI 2025 Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025 Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories ICLR 2025 Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation AAAI 2025 Adapt LLM for Multi-turn Reasoning QA using Tidy Data COLING 2025 A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning CVPR 2025 A Data-driven Investigation of Euphemistic Language: Comparing the usage of “slave” and “servant” in 19th century US newspapers NAACL 2025 A Data-Driven Method for Analyzing and Quantifying Lyrics-Dance Motion Relationships NAACL 2025 Additive Model Boosting: New Insights and Path(ologie)s AISTATS 2025 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025 Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs COLING 2025 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection AAAI 2025 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer ICCV 2025 A Decade's Battle on Dataset Bias: Are We There Yet? ICLR 2025 A deep inverse-mapping model for a flapping robotic wing ICLR 2025 A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision AAAI 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025