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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)

Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images CVPR 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment CVPR 2025 BOIGENRE: A Large-Scale Bangla Dataset for Genre Classification from Book Summaries AACL 2025 Bold Claims or Self-Doubt? Factuality Hallucination Type Detection via Belief State EMNLP 2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions ICLR 2025 Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? ICML 2025 Bonsai: Gradient-free Graph Condensation for Node Classification ICLR 2025 BOOD: Boundary-based Out-Of-Distribution Data Generation ICML 2025 Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation ACL 2025 Boosting Causal Additive Models JMLR 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025 Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 Boosting Image De-Raining via Central-Surrounding Synergistic Convolution AAAI 2025 Boosting Methods for Interval-censored Data with Regression and Classification ICLR 2025 Boosting Protein Graph Representations through Static-Dynamic Fusion ICML 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Boosting the visual interpretability of CLIP via adversarial fine-tuning ICLR 2025 Boosting Vision State Space Model with Fractal Scanning AAAI 2025 Boosting, Voting Classifiers and Randomized Sample Compression Schemes ALT 2025 Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation CVPR 2025 Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations CVPR 2025 BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle ACL 2025 Boundary Matters: Leveraging Structured Text Plots for Long Text Outline Generation EMNLP 2025