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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)

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection ICLR 2020 Feature Projection for Improved Text Classification ACL 2020 Feature Selection using Stochastic Gates ICML 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020 Federated Learning with Only Positive Labels ICML 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Federated Principal Component Analysis NeurIPS 2020 FERNet: Fine-grained Extraction and Reasoning Network for Emotion Recognition in Dialogues AACL 2020 Ferryman at SemEval-2020 Task 12: BERT-Based Model with Advanced Improvement Methods for Multilingual Offensive Language Identification SemEval 2020 Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity SemEval 2020 Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines SemEval 2020 Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies NeurIPS 2020 Few-Shot Class-Incremental Learning CVPR 2020 Few-Shot Knowledge Graph Completion AAAI 2020 FEW-SHOT LEARNING ON GRAPHS VIA SUPER-CLASSES BASED ON GRAPH SPECTRAL MEASURES ICLR 2020 Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions CVPR 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network ACL 2020 Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network COLING 2020 Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration IJCAI 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 FFA-Net: Feature Fusion Attention Network for Single Image Dehazing AAAI 2020 F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification IJCAI 2020 Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020 Field-wise Learning for Multi-field Categorical Data NeurIPS 2020