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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)

Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019 Dynamic Measurement Scheduling for Event Forecasting using Deep RL ICML 2019 Dynamic Pricing in High-dimensions JMLR 2019 Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting AAAI 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 DynamoNet: Dynamic Action and Motion Network ICCV 2019 Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization EMNLP 2019 Early Discovery of Emerging Entities in Microblogs IJCAI 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing ACL 2019 Effective Adversarial Regularization for Neural Machine Translation ACL 2019 Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network NeurIPS 2019 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient augmentation and relaxation learning for individualized treatment rules using observational data JMLR 2019 Efficient Augmentation via Data Subsampling ICLR 2019 Efficient Counterfactual Learning from Bandit Feedback AAAI 2019 Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019 Efficient Diversified Mini-Batch Selection using Variable High-layer Features ACML 2019 Efficient Forward Architecture Search NeurIPS 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time AAAI 2019 Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NeurIPS 2019 Efficient Meta Learning via Minibatch Proximal Update NeurIPS 2019 Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019