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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 and Domain Adaptation for Supervised Text Segmentation EACL 2021 Training a Single Bandit Arm AISTATS 2021 Training Dynamic based data filtering may not work for NLP datasets EMNLP 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time NeurIPS 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Training Language Models under Resource Constraints for Adversarial Advertisement Detection NAACL 2021 Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image ICCV 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Training Weakly Supervised Video Frame Interpolation With Events ICCV 2021 “Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition MIDL 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 Trajectory Diversity for Zero-Shot Coordination ICML 2021 Transductive Learning for Unsupervised Text Style Transfer EMNLP 2021 Transductive Visual Verb Sense Disambiguation WACV 2021 Transductive Zero-Shot Learning by Decoupled Feature Generation WACV 2021 Transferable Query Selection for Active Domain Adaptation CVPR 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 Transfer-Based Semantic Anomaly Detection ICML 2021 Transfer Graph Neural Networks for Pandemic Forecasting AAAI 2021 Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19 Interspeech 2021 Transfer Learning for Efficient Iterative Safety Validation AAAI 2021 Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism AAAI 2021 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification IJCAI 2021 Transfer Learning with Adaptive Online TrAdaBoost for Data Streams ACML 2021