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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)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Simple strategies for recovering inner products from coarsely quantized random projections NeurIPS 2017 Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search CVPR 2017 Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation ICML 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017 SINAI at SemEval-2017 Task 4: User based classification SemEval 2017 Single-Pass PCA of Large High-Dimensional Data IJCAI 2017 SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SemEval 2017 Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition CVPR 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017 Skip-Gram − Zipf + Uniform = Vector Additivity ACL 2017 Sliced Wasserstein Kernel for Persistence Diagrams ICML 2017 SMARTies: Sentiment Models for Arabic Target entities EACL 2017 Snapshot Hyperspectral Light Field Imaging CVPR 2017 Snore Sound Classification Using Image-Based Deep Spectrum Features Interspeech 2017 Sobolev Training for Neural Networks NeurIPS 2017 Soft-Margin Mixture of Regressions CVPR 2017 Soft Margin Support Vector Classification as Buffered Probability Minimization JMLR 2017 Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities NeurIPS 2017 Sounds of the Human Vocal Tract Interspeech 2017 Sound-Word2Vec: Learning Word Representations Grounded in Sounds EMNLP 2017 Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms EMNLP 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017 Spanish Sign Language Recognition with Different Topology Hidden Markov Models Interspeech 2017