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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)

Multiple Partitions Aligned Clustering IJCAI 2019 Multiple Saliency and Channel Sensitivity Network for Aggregated Convolutional Feature AAAI 2019 Multiplex Word Embeddings for Selectional Preference Acquisition EMNLP 2019 Multiplicative local linear hazard estimation and best one-sided cross-validation JMLR 2019 Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning IJCAI 2019 Multi-Prototype Networks for Unconstrained Set-based Face Recognition IJCAI 2019 Multi-relational Poincaré Graph Embeddings NeurIPS 2019 Multi-Relational Script Learning for Discourse Relations ACL 2019 Multi-resolution Multi-task Gaussian Processes NeurIPS 2019 Multi-Scale Time-Frequency Attention for Acoustic Event Detection Interspeech 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL 2019 Multistream Classification with Relative Density Ratio Estimation AAAI 2019 Multi-Stream Network with Temporal Attention for Environmental Sound Classification Interspeech 2019 Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech Interspeech 2019 Multi-Task Learning for Coherence Modeling ACL 2019 Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue EMNLP 2019 Multi-Task Learning of Hierarchical Vision-Language Representation CVPR 2019 Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification Interspeech 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019 Multitask Metric Learning: Theory and Algorithm AISTATS 2019 Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media NAACL 2019 Multi-task Pairwise Neural Ranking for Hashtag Segmentation ACL 2019 Multi-Task Stance Detection with Sentiment and Stance Lexicons EMNLP 2019