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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)

Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 2019 Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019 Transductive Bounds for the Multi-Class Majority Vote Classifier AAAI 2019 Transductive Learning for Zero-Shot Object Detection ICCV 2019 Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis EMNLP 2019 Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019 Transductive Zero-Shot Learning with Visual Structure Constraint NeurIPS 2019 Transferability and Hardness of Supervised Classification Tasks ICCV 2019 Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML 2019 Transferable Adversarial Attacks for Image and Video Object Detection IJCAI 2019 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ICML 2019 Transferable Attention for Domain Adaptation AAAI 2019 Transferable AutoML by Model Sharing Over Grouped Datasets CVPR 2019 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets ICML 2019 Transferable Contrastive Network for Generalized Zero-Shot Learning ICCV 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019 Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction AAAI 2019 Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems ACL 2019 Transferable Semi-Supervised 3D Object Detection From RGB-D Data ICCV 2019 Transfer Anomaly Detection by Inferring Latent Domain Representations NeurIPS 2019 Transfer Fine-Tuning: A BERT Case Study EMNLP 2019 Transfer in Deep Reinforcement Learning Using Knowledge Graphs EMNLP 2019 Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages ACL 2019 Transfer Learning Between Related Tasks Using Expected Label Proportions EMNLP 2019 Transfer Learning for Causal Sentence Detection ACL 2019