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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)

Nearest Neighbor Matching for Deep Clustering CVPR 2021 Nearest neighbour approaches for Emotion Detection in Tweets EACL 2021 Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021 Nearest Neighbour Few-Shot Learning for Cross-lingual Classification EMNLP 2021 Nearly-Tight and Oblivious Algorithms for Explainable Clustering NeurIPS 2021 Near-Optimal Algorithms for Explainable k-Medians and k-Means ICML 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 Near-Optimal Linear Regression under Distribution Shift ICML 2021 Near-Optimal Representation Learning for Linear Bandits and Linear RL ICML 2021 Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection AAAI 2021 Neighborhood Contrastive Learning for Novel Class Discovery CVPR 2021 Neighborhood Normalization for Robust Geometric Feature Learning CVPR 2021 Neighborhood Reconstructing Autoencoders NeurIPS 2021 Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021 NEO: A System for Identifying New Emerging Occupation from Job Ads AAAI 2021 Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction NeurIPS 2021 Nerfies: Deformable Neural Radiance Fields ICCV 2021 NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections CVPR 2021 NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis CVPR 2021 Nested Barycentric Coordinate System as an Explicit Feature Map AISTATS 2021 Nested Graph Neural Networks NeurIPS 2021 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021 Neural Additive Models: Interpretable Machine Learning with Neural Nets NeurIPS 2021