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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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Papers (including subtopics)

We Are More Than Our Joints: Predicting How 3D Bodies Move CVPR 2021 WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition CVPR 2021 We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale AAAI 2021 Weisfeiler and Lehman Go Cellular: CW Networks NeurIPS 2021 Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks ICML 2021 Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm EACL 2021 We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity EMNLP 2021 What About the Precedent: An Information-Theoretic Analysis of Common Law NAACL 2021 What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study EMNLP 2021 What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions ICLR 2021 What Changed? Interpretable Model Comparison IJCAI 2021 What Context Features Can Transformer Language Models Use? ACL 2021 What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021 What Makes a Scientific Paper be Accepted for Publication? EMNLP 2021 What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ACL 2021 What’s a good imputation to predict with missing values? NeurIPS 2021 What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021 What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models AAAI 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding IJCAI 2021 When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021 When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking NeurIPS 2021 When in Doubt: Improving Classification Performance with Alternating Normalization EMNLP 2021