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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)

Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks CVPR 2019 Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification SemEval 2019 Co-manifold learning with missing data ICML 2019 Combating Adversarial Misspellings with Robust Word Recognition ACL 2019 Combating Label Noise in Deep Learning using Abstention ICML 2019 Combinatorial Attacks on Binarized Neural Networks ICLR 2019 Combinatorial Bandits with Relative Feedback NeurIPS 2019 Combinatorial Inference against Label Noise NeurIPS 2019 Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling Interspeech 2019 Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise AAAI 2019 Combining Distant and Direct Supervision for Neural Relation Extraction NAACL 2019 Combining Generative and Discriminative Models for Hybrid Inference NeurIPS 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification EMNLP 2019 Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019 ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples CVPR 2019 COMIC: Multi-view Clustering Without Parameter Selection ICML 2019 Co-Mining: Deep Face Recognition With Noisy Labels ICCV 2019 CommNets: Communicating Neural Network Architectures for Resource Constrained Systems AAAI 2019 Commonsense about Human Senses: Labeled Data Collection Processes EMNLP 2019 Commonsense Knowledge Mining from Pretrained Models EMNLP 2019 Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning on Robots RSS 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Community Detection in Social Networks Considering Topic Correlations AAAI 2019 Compacting, Picking and Growing for Unforgetting Continual Learning NeurIPS 2019