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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
'5
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'25

Papers (including subtopics)

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025 Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting AAAI 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals ICML 2025 RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior ICML 2025 Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding ICML 2025 Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models AAAI 2025 Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025 Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance ICLR 2025 Rethinking Cluster-Conditioned Diffusion Models for Label-Free Image Synthesis WACV 2025 Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL ICML 2025 Rethinking Diverse Human Preference Learning through Principal Component Analysis ACL 2025 Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human? ACL 2025 Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words ICLR 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages CVPR 2025 Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025 Rethinking Graph Contrastive Learning Through Relative Similarity Preservation IJCAI 2025 Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features ICLR 2025 Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora ACL 2025 Rethinking Large Language Model Architectures for Sequential Recommendations IJCNLP 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation ICML 2025 Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning AAAI 2025 Rethinking Multiple-Instance Learning From Feature Space to Probability Space ICLR 2025 Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond CVPR 2025