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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Graph-Based Semi-Supervised Learning with Non-ignorable Non-response NeurIPS 2019 Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection CVPR 2019 Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks AAAI 2019 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019 Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning IJCAI 2019 Graphical Contrastive Losses for Scene Graph Parsing CVPR 2019 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019 Graph Normalizing Flows NeurIPS 2019 Graph Space Embedding IJCAI 2019 Graph-Structured Visual Imitation CoRL 2019 Greedy Layerwise Learning Can Scale To ImageNet ICML 2019 Greedy Structure Learning of Hierarchical Compositional Models CVPR 2019 Grounded Human-Object Interaction Hotspots From Video ICCV 2019 Grounding Human-To-Vehicle Advice for Self-Driving Vehicles CVPR 2019 Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss ICCV 2019 Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning IJCAI 2019 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NeurIPS 2019 G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019 Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks ICCV 2019 Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation ICCV 2019 Guided Dropout AAAI 2019 Guiding the One-to-One Mapping in CycleGAN via Optimal Transport AAAI 2019 Habitat: A Platform for Embodied AI Research ICCV 2019 HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation EMNLP 2019 Handling Divergent Reference Texts when Evaluating Table-to-Text Generation ACL 2019