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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Data Selection for Unsupervised Translation of German–Upper Sorbian EMNLP 2020 Data Uncertainty Learning in Face Recognition CVPR 2020 DATNet: Dense Auxiliary Tasks for Object Detection WACV 2020 DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting WACV 2020 DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification AAAI 2020 Debiased Contrastive Learning NeurIPS 2020 Debiasing Averaged Stochastic Gradient Descent to handle missing values NeurIPS 2020 Debiasing knowledge graph embeddings EMNLP 2020 Decentralised Learning with Random Features and Distributed Gradient Descent ICML 2020 Decision-Making with Auto-Encoding Variational Bayes NeurIPS 2020 Deep 3D Portrait From a Single Image CVPR 2020 Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision CVPR 2020 Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient AACL 2020 Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020 DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards AAAI 2020 Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations EMNLP 2020 Deep Audio Priors Emerge From Harmonic Convolutional Networks ICLR 2020 Deep Automodulators NeurIPS 2020 Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds ICLR 2020 DeepCap: Monocular Human Performance Capture Using Weak Supervision CVPR 2020 DeepCoDA: personalized interpretability for compositional health data ICML 2020 Deep Conservative Policy Iteration AAAI 2020 Deep Convolutional Spiking Neural Networks for Keyword Spotting Interspeech 2020 DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data CVPR 2020 Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification AAAI 2020