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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 Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees NeurIPS 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations PGM 2020 A Sentiment-annotated Dataset of English Causal Connectives COLING 2020 A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph EMNLP 2020 A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling IJCAI 2020 A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning CVPR 2020 A Siamese CNN Architecture for Learning Chinese Sentence Similarity AACL 2020 A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification IJCAI 2020 A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction COLING 2020 A Simple and Effective Dependency Parser for Telugu ACL 2020 A Simple and Effective Unified Encoder for Document-Level Machine Translation ACL 2020 A Simple and Effective Usage of Word Clusters for CBOW Model AACL 2020 A Simple Approach to Learning Unsupervised Multilingual Embeddings EMNLP 2020 A Simple Framework for Contrastive Learning of Visual Representations ICML 2020 A simple normative network approximates local non-Hebbian learning in the cortex NeurIPS 2020 A Simple Yet Strong Pipeline for HotpotQA EMNLP 2020 Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles AAAI 2020 Asking without Telling: Exploring Latent Ontologies in Contextual Representations EMNLP 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020 A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature EMNLP 2020 A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation JMLR 2020 A Span-based Linearization for Constituent Trees ACL 2020 A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020 A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data IJCAI 2020 A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image CVPR 2020