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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)

MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Maximizing Welfare with Incentive-Aware Evaluation Mechanisms IJCAI 2020 Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation ICML 2020 Maximum Margin Multi-Dimensional Classification AAAI 2020 Max-Margin Incremental CCG Parsing ACL 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 McFlow: Monte Carlo Flow Models for Data Imputation CVPR 2020 MCUNet: Tiny Deep Learning on IoT Devices NeurIPS 2020 MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NeurIPS 2020 Measuring and Improving the Use of Graph Information in Graph Neural Networks ICLR 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Measuring Correlation-to-Causation Exaggeration in Press Releases COLING 2020 Measuring Emotions in the COVID-19 Real World Worry Dataset ACL 2020 Measuring Forecasting Skill from Text ACL 2020 Measuring Information Propagation in Literary Social Networks EMNLP 2020 Measuring Systematic Generalization in Neural Proof Generation with Transformers NeurIPS 2020 Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020 Measuring the Effects of Bias in Training Data for Literary Classification COLING 2020 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions EMNLP 2020 Measuring What Counts: The Case of Rumour Stance Classification AACL 2020 Median Matrix Completion: from Embarrassment to Optimality ICML 2020 Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings EMNLP 2020 Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees COLING 2020 MedWriter: Knowledge-Aware Medical Text Generation COLING 2020