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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)

A Learned Representation for Scalable Vector Graphics ICCV 2019 A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Algorithms for Estimating Trends in Global Temperature Volatility AAAI 2019 A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection Interspeech 2019 Aligning Cross-Lingual Entities with Multi-Aspect Information EMNLP 2019 Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining ACL 2019 Aligning Latent Spaces for 3D Hand Pose Estimation ICCV 2019 Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach IJCAI 2019 Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task EMNLP 2019 Aligning Vector-spaces with Noisy Supervised Lexicon NAACL 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA ICLR 2019 AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models EMNLP 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously JMLR 2019 All-Weather Deep Outdoor Lighting Estimation CVPR 2019 A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019 A Machine Learning Based Clustering Protocol for Determining Hearing Aid Initial Configurations from Pure-Tone Audiograms Interspeech 2019 A Machine Learning Suite for Machine Components’ Health-Monitoring AAAI 2019 A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks CVPR 2019 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019 Amazon at MRP 2019: Parsing Meaning Representations with Lexical and Phrasal Anchoring CoNLL 2019 Amobee at SemEval-2019 Tasks 5 and 6: Multiple Choice CNN Over Contextual Embedding SemEval 2019