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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)

Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction AAAI 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing CoNLL 2023 Revisiting Automated Topic Model Evaluation with Large Language Models EMNLP 2023 Revisiting Bellman Errors for Offline Model Selection ICML 2023 Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation ACL 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023 Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach ICCV 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens CVPR 2023 Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting Prototypical Network for Cross Domain Few-Shot Learning CVPR 2023 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023 Revisiting Robustness in Graph Machine Learning ICLR 2023 Revisiting Self-Similarity: Structural Embedding for Image Retrieval CVPR 2023 Revisiting Sentence Union Generation as a Testbed for Text Consolidation ACL 2023 Revisiting Source Context in Nearest Neighbor Machine Translation EMNLP 2023 Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023 Revisiting the Optimality of Word Lengths EMNLP 2023 Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition AAAI 2023 Revisiting the Stack-Based Inverse Tone Mapping CVPR 2023 Revisiting Unsupervised Local Descriptor Learning AAAI 2023 Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View NeurIPS 2023 Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NeurIPS 2023 RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023