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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 Framework for Private Matrix Analysis in Sliding Window Model ICML 2021 A Framework to Learn with Interpretation NeurIPS 2021 A Frustratingly Easy Approach for Entity and Relation Extraction NAACL 2021 A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. CVPR 2021 A Functional Perspective on Learning Symmetric Functions with Neural Networks ICML 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets Interspeech 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 A Generalized Loss Function for Crowd Counting and Localization CVPR 2021 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 Agent Modelling under Partial Observability for Deep Reinforcement Learning NeurIPS 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 AggGen: Ordering and Aggregating while Generating ACL 2021 Aggregated Hold-Out JMLR 2021 Aggregating and Learning from Multiple Annotators EACL 2021 Aggregating Binary Judgments Ranked by Accuracy AAAI 2021 AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning ICCV 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 Agnostic Proper Learning of Halfspaces under Gaussian Marginals COLT 2021 AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning CVPR 2021 A Graph-based Relevance Matching Model for Ad-hoc Retrieval AAAI 2021 Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021 A Hierarchical Approach to Multi-Event Survival Analysis AAAI 2021 A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow ACL 2021 A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression NeurIPS 2021