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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)

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Machine Translation for Machines: the Sentiment Classification Use Case EMNLP 2019 Machine Translation with parfda, Moses, kenlm, nplm, and PRO ACL 2019 Machine Translation With Weakly Paired Documents EMNLP 2019 Macro-Action-Based Deep Multi-Agent Reinforcement Learning CoRL 2019 Making AI Forget You: Data Deletion in Machine Learning NeurIPS 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 MAME : Model-Agnostic Meta-Exploration CoRL 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Manipulating a Learning Defender and Ways to Counteract NeurIPS 2019 MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment CVPR 2019 ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features CVPR 2019 Many Task Learning With Task Routing ICCV 2019 Mapping (Dis-)Information Flow about the MH17 Plane Crash EMNLP 2019 MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING ICLR 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 Margin-Based Generalization Lower Bounds for Boosted Classifiers NeurIPS 2019 MarginGAN: Adversarial Training in Semi-Supervised Learning NeurIPS 2019