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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)

Joint Acne Image Grading and Counting via Label Distribution Learning ICCV 2019 Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI 2019 Joint Learning of Named Entity Recognition and Entity Linking ACL 2019 Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation ICCV 2019 Joint Learning of Semantic Alignment and Object Landmark Detection ICCV 2019 Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition Interspeech 2019 Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization ACL 2019 Jointly Learning to Align and Translate with Transformer Models EMNLP 2019 Jointly Learning to Label Sentences and Tokens AAAI 2019 Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation CVPR 2019 Joint Representative Selection and Feature Learning: A Semi-Supervised Approach CVPR 2019 Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach AAAI 2019 Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019 Joint-task Self-supervised Learning for Temporal Correspondence NeurIPS 2019 Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis EMNLP 2019 JRC TMA-CC: Slavic Named Entity Recognition and Linking. Participation in the BSNLP-2019 shared task ACL 2019 JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages ACL 2019 K3S: Knowledge-Driven Solution Support System AAAI 2019 Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning EMNLP 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NeurIPS 2019 KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing CVPR 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation ACL 2019 Keyword Spotting for Hearing Assistive Devices Robust to External Speakers Interspeech 2019