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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)

A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature EMNLP 2020 A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation JMLR 2020 Aspect Extraction Using Coreference Resolution and Unsupervised Filtering AACL 2020 Aspect Sentiment Classification with Aspect-Specific Opinion Spans EMNLP 2020 Aspect Sentiment Classification with Document-level Sentiment Preference Modeling ACL 2020 ASR Error Correction with Augmented Transformer for Entity Retrieval Interspeech 2020 Assessing Human-Parity in Machine Translation on the Segment Level EMNLP 2020 Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets AAAI 2020 Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent EMNLP 2020 Assisting Undergraduate Students in Writing Spanish Methodology Sections ACL 2020 Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020 A State-independent and Time-evolving Network for Early Rumor Detection in Social Media EMNLP 2020 A Statistical Learning Approach to Modal Regression JMLR 2020 A Stochastic Conditioning Scheme for Diverse Human Motion Prediction CVPR 2020 A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments IJCAI 2020 A Study of Non-autoregressive Model for Sequence Generation ACL 2020 A SUPER* Algorithm to Optimize Paper Bidding in Peer Review UAI 2020 A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT EMNLP 2020 A Survey on Computational Propaganda Detection IJCAI 2020 A Survey on Using Gaze Behaviour for Natural Language Processing IJCAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification AAAI 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Asynchronous Deep Model Reference Adaptive Control CoRL 2020