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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
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2000
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Papers (including subtopics)

Data Cleansing for Models Trained with SGD NeurIPS 2019 DATA: Differentiable ArchiTecture Approximation NeurIPS 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019 Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning CoRL 2019 Data-efficient Neural Text Compression with Interactive Learning NAACL 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019 Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019 Data Poisoning Attacks on Stochastic Bandits ICML 2019 Data Programming for Learning Discourse Structure ACL 2019 Data Representation and Learning With Graph Diffusion-Embedding Networks CVPR 2019 Data Set for Stance and Sentiment Analysis from User Comments on Croatian News ACL 2019 DBA: Dynamic Multi-Armed Bandit Algorithm AAAI 2019 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 DDL: Deep Dictionary Learning for Predictive Phenotyping IJCAI 2019 DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition CVPR 2019 Dead-ends and Secure Exploration in Reinforcement Learning ICML 2019 Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019 Decentralized Cooperative Stochastic Bandits NeurIPS 2019 Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask NeurIPS 2019 Deconstructing Supertagging into Multi-Task Sequence Prediction CoNLL 2019 Decontamination of Mutual Contamination Models JMLR 2019 Decorrelated Adversarial Learning for Age-Invariant Face Recognition CVPR 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Deep Active Learning for Anchor User Prediction IJCAI 2019