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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)

Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method IJCAI 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 ReVideo: Remake a Video with Motion and Content Control NeurIPS 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation AAAI 2024 Revisiting Adversarial Training Under Long-Tailed Distributions CVPR 2024 Revisiting and Improving Scoring Fusion for Spoofing-aware Speaker Verification Using Compositional Data Analysis Interspeech 2024 Revisiting Clinical Outcome Prediction for MIMIC-IV NAACL 2024 Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning AAAI 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Revisiting Hierarchical Text Classification: Inference and Metrics CoNLL 2024 Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NeurIPS 2024 Revisiting Link Prediction: a data perspective ICLR 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection NeurIPS 2024 Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024 Revisiting Single Image Reflection Removal In the Wild CVPR 2024 Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image Fusion CVPR 2024 Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing ACL 2024 Revisiting Supertagging for faster HPSG parsing EMNLP 2024 Revisiting the Integration of Convolution and Attention for Vision Backbone NeurIPS 2024 Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias NAACL 2024 Revitalizing Real Image Deraining via a Generic Paradigm towards Multiple Rainy Patterns IJCAI 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024