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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Multimodal Generative Models for Scalable Weakly-Supervised Learning NeurIPS 2018 Multi-modality Sensor Data Classification with Selective Attention IJCAI 2018 Multimodal Named Entity Disambiguation for Noisy Social Media Posts ACL 2018 Multimodal Named Entity Recognition for Short Social Media Posts NAACL 2018 Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models AISTATS 2018 Multimodal Relational Tensor Network for Sentiment and Emotion Classification ACL 2018 Multi-modal Sentence Summarization with Modality Attention and Image Filtering IJCAI 2018 Multimodal Speech Synthesis Architecture for Unsupervised Speaker Adaptation Interspeech 2018 Multimodal Visual Concept Learning With Weakly Supervised Techniques CVPR 2018 Multi-Module Recurrent Neural Networks with Transfer Learning NAACL 2018 Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing EMNLP 2018 Multinomial Adversarial Networks for Multi-Domain Text Classification NAACL 2018 Multinomial Logit Bandit with Linear Utility Functions IJCAI 2018 Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018 Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards CoRL 2018 Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension COLING 2018 Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection Interspeech 2018 Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices NeurIPS 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds ACL 2018 Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification IJCAI 2018 Multi-Shot Pedestrian Re-Identification via Sequential Decision Making CVPR 2018 Multi-Source Domain Adaptation with Mixture of Experts EMNLP 2018 Multi-Source Neural Machine Translation with Missing Data ACL 2018 Multi-source synthetic treebank creation for improved cross-lingual dependency parsing EMNLP 2018