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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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Papers (including subtopics)

Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020 Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation EMNLP 2020 Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors EMNLP 2020 Training Generative Adversarial Networks by Solving Ordinary Differential Equations NeurIPS 2020 Training Question Answering Models From Synthetic Data EMNLP 2020 Train No Evil: Selective Masking for Task-Guided Pre-Training EMNLP 2020 TrainX – Named Entity Linking with Active Sampling and Bi-Encoders COLING 2020 Transductive Relation-Propagation Network for Few-shot Learning IJCAI 2020 Transductive Zero-Shot Learning for 3D Point Cloud Classification WACV 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking CVPR 2020 Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages EMNLP 2020 Transfer Learning Approaches for Streaming End-to-End Speech Recognition System Interspeech 2020 Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection AAAI 2020 Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task EMNLP 2020 Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization CVPR 2020 Transfer Learning of Articulatory Information Through Phone Information Interspeech 2020 Transfer Learning via ℓ_1 Regularization NeurIPS 2020 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020 Transfer Reinforcement Learning Using Output-Gated Working Memory AAAI 2020 Transferring and Regularizing Prediction for Semantic Segmentation CVPR 2020 Transferring Cross-Domain Knowledge for Video Sign Language Recognition CVPR 2020 Transfer Value Iteration Networks AAAI 2020 Transformation GAN for Unsupervised Image Synthesis and Representation Learning CVPR 2020 Transformer-based Approach for Predicting Chemical Compound Structures AACL 2020