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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)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling ICCV 2019 Software Component Prediction for Bug Reports ACML 2019 SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning ICML 2019 Solving graph compression via optimal transport NeurIPS 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019 Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features NAACL 2019 SOM-VAE: Interpretable Discrete Representation Learning on Time Series ICLR 2019 SOSNet: Second Order Similarity Regularization for Local Descriptor Learning CVPR 2019 Sound Event Detection in Multichannel Audio Using Convolutional Time-Frequency-Channel Squeeze and Excitation Interspeech 2019 Space lower bounds for linear prediction in the streaming model COLT 2019 SPAGAN: Shortest Path Graph Attention Network IJCAI 2019 Sparse Dictionary Learning by Dynamical Neural Networks ICLR 2019 Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring AISTATS 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models NeurIPS 2019 Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data ICML 2019 Sparse Reject Option Classifier Using Successive Linear Programming AAAI 2019 SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks IJCAI 2019 SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders Interspeech 2019 Spatial Aggregation Facilitates Discovery of Spatial Topics ACL 2019 Spatial and Spectral Fingerprint in the Brain: Speaker Identification from Single Trial MEG Signals Interspeech 2019 Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset CVPR 2019