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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)

Partially-supervised Mention Detection COLING 2020 Partially Zero-shot Domain Adaptation from Incomplete Target Data with Missing Classes WACV 2020 Partial Multi-Label Learning via Multi-Subspace Representation IJCAI 2020 Partial Multi-Label Learning with Label Distribution AAAI 2020 Partial Multi-Label Learning with Noisy Label Identification AAAI 2020 Partial Optimal Tranport with applications on Positive-Unlabeled Learning NeurIPS 2020 Particle Filter Recurrent Neural Networks AAAI 2020 Partner Selection for the Emergence of Cooperation in Multi-Agent Systems Using Reinforcement Learning AAAI 2020 PaStaNet: Toward Human Activity Knowledge Engine CVPR 2020 PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English COLING 2020 Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​ NeurIPS 2020 PatchVAE: Learning Local Latent Codes for Recognition CVPR 2020 PATQUEST: Papago Translation Quality Estimation EMNLP 2020 Pattern-Structure Diffusion for Multi-Task Learning CVPR 2020 Pay Attention to Features, Transfer Learn Faster CNNs ICLR 2020 Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks AAAI 2020 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020 PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization ICML 2020 Perceptual Quality Assessment of Smartphone Photography CVPR 2020 Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization IJCAI 2020 Periodic Q-Learning L4DC 2020 Permutation Invariant Graph Generation via Score-Based Generative Modeling AISTATS 2020 Personalized Early Stage Alzheimer’s Disease Detection: A Case Study of President Reagan’s Speeches ACL 2020 Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation ACL 2020 Personalized Prediction of Trust Links in Social Networks (Student Abstract) AAAI 2020