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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)

Self-supervised Learning from a Multi-view Perspective ICLR 2021 Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks NeurIPS 2021 Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style NeurIPS 2021 Self-Supervised Learning with Kernel Dependence Maximization NeurIPS 2021 Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging ICCV 2021 Self-Supervised Neural Topic Modeling EMNLP 2021 Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling AAAI 2021 Self-Supervised Representation Learning From Flow Equivariance ICCV 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021 Self-supervised Representation Learning with Relative Predictive Coding ICLR 2021 Self-Supervised Visibility Learning for Novel View Synthesis CVPR 2021 Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Semantically Coherent Out-of-Distribution Detection ICCV 2021 Semantic Answer Similarity for Evaluating Question Answering Models EMNLP 2021 Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain EACL 2021 Semantic Categorization of Social Knowledge for Commonsense Question Answering EMNLP 2021 Semantic Concentration for Domain Adaptation ICCV 2021 Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding Interspeech 2021 Semantic Diversity Learning for Zero-Shot Multi-Label Classification ICCV 2021 Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering ACL 2021 Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views AAAI 2021 Semantic Novelty Detection in Natural Language Descriptions EMNLP 2021 Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks EACL 2021 Semantic Re-tuning with Contrastive Tension ICLR 2021 Semantics Disentangling for Generalized Zero-Shot Learning ICCV 2021