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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)

DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters NeurIPS 2019 Diagnosing Bottlenecks in Deep Q-learning Algorithms ICML 2019 DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019 DiaHClust: an Iterative Hierarchical Clustering Approach for Identifying Stages in Language Change ACL 2019 Dialog Intent Induction with Deep Multi-View Clustering EMNLP 2019 Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning AAAI 2019 Diffeomorphic Temporal Alignment Nets NeurIPS 2019 Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection EMNLP 2019 Differentiable Game Mechanics JMLR 2019 Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder ICLR 2019 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NeurIPS 2019 Differentially Private Distributed Data Summarization under Covariate Shift NeurIPS 2019 Differentially Private Markov Chain Monte Carlo NeurIPS 2019 Differentiated Distribution Recovery for Neural Text Generation AAAI 2019 Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ICLR 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 Direction-Aware Speaker Beam for Multi-Channel Speaker Extraction Interspeech 2019 Direct Modelling of Speech Emotion from Raw Speech Interspeech 2019 Discovering Temporal Patterns from Insurance Interaction Data AAAI 2019 Discovering the Functions of Language in Online Forums EMNLP 2019 Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning CVPR 2019 Discovery of Useful Questions as Auxiliary Tasks NeurIPS 2019 Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NeurIPS 2019 Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 Discriminative Feature Learning for Unsupervised Video Summarization AAAI 2019