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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)

Non-Asymptotic Pure Exploration by Solving Games NeurIPS 2019 Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning AISTATS 2019 Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019 Non-Monotonic Sequential Text Generation ICML 2019 Nonparallel Emotional Speech Conversion Interspeech 2019 Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks Interspeech 2019 Non-Parallel Voice Conversion with Cyclic Variational Autoencoder Interspeech 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses NeurIPS 2019 Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials EMNLP 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 Nonverbal Robot Feedback for Human Teachers CoRL 2019 Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 No Permanent Friends or Enemies: Tracking Relationships between Nations from News NAACL 2019 No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking AAAI 2019 Normalized Diversification CVPR 2019 Normal Variance-Mean Mixtures for Unsupervised Score Calibration Interspeech 2019 Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses CVPR 2019 NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection ICCV 2019 Novelty Detection for Multispectral Images with Application to Planetary Exploration AAAI 2019 Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks AAAI 2019 O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019 Object-Aware Instance Labeling for Weakly Supervised Object Detection ICCV 2019 Object Counting and Instance Segmentation With Image-Level Supervision CVPR 2019