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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)

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020 Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations COLING 2020 Semi-Supervised End-to-End ASR via Teacher-Student Learning with Conditional Posterior Distribution Interspeech 2020 Semi-supervised Fine-grained Approach for Arabic dialect detection task COLING 2020 Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization EMNLP 2020 Semi-Supervised Generative Modeling for Controllable Speech Synthesis ICLR 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020 Semi-Supervised Iterative Approach for Domain-Specific Complaint Detection in Social Media ACL 2020 Semi-supervised learning, causality, and the conditional cluster assumption UAI 2020 Semi-Supervised Learning for Character Expression of Spoken Dialogue Systems Interspeech 2020 Semi-Supervised Learning for Few-Shot Image-to-Image Translation CVPR 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Semi-Supervised Learning for Multi-Speaker Text-to-Speech Synthesis Using Discrete Speech Representation Interspeech 2020 Semi-Supervised Learning for Video Captioning EMNLP 2020 Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios AAAI 2020 Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful UAI 2020 Semi-Supervised Learning under Class Distribution Mismatch AAAI 2020 Semi-Supervised Learning with Data Augmentation for End-to-End ASR Interspeech 2020 Semi-Supervised Learning with Normalizing Flows ICML 2020 Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition AAAI 2020 Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification COLING 2020 Semi-Supervised Neural Architecture Search NeurIPS 2020 Semi-supervised New Event Type Induction and Event Detection EMNLP 2020 Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020 Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NeurIPS 2020