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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)

On the Softmax Bottleneck of Recurrent Language Models AAAI 2021 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021 On the Tractability of SHAP Explanations AAAI 2021 On the Transfer of Disentangled Representations in Realistic Settings ICLR 2021 On the Universality of the Double Descent Peak in Ridgeless Regression ICLR 2021 On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles NAACL 2021 On the Value of Infinite Gradients in Variational Autoencoder Models NeurIPS 2021 OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021 OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres ACL 2021 Ontology-Driven Event Type Classification in Images WACV 2021 ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks ACL 2021 On Training Implicit Models NeurIPS 2021 On Training Instance Selection for Few-Shot Neural Text Generation ACL 2021 On UMAP's True Loss Function NeurIPS 2021 On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021 On Variational Inference in Biclustering Models ICML 2021 Oops I Took A Gradient: Scalable Sampling for Discrete Distributions ICML 2021 OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data EMNLP 2021 OpenGAN: Open-Set Recognition via Open Data Generation ICCV 2021 Open Hierarchical Relation Extraction NAACL 2021 Open Knowledge Graphs Canonicalization using Variational Autoencoders EMNLP 2021 OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World CVPR 2021 Open-Set Recognition with Gaussian Mixture Variational Autoencoders AAAI 2021 Opponent Hand Estimation in the Game of Gin Rummy AAAI 2021 Optimal Decision Trees for Nonlinear Metrics AAAI 2021