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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)

Generic Inference in Latent Gaussian Process Models JMLR 2019 Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism IJCAI 2019 Geolocation with Attention-Based Multitask Learning Models EMNLP 2019 Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks AAAI 2019 Geometric Understanding for Unsupervised Subspace Learning IJCAI 2019 Geometry-Aware Face Completion and Editing AAAI 2019 Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019 Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019 Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers AAAI 2019 GEval: Tool for Debugging NLP Datasets and Models ACL 2019 GIRNet: Interleaved Multi-Task Recurrent State Sequence Models AAAI 2019 Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts ACL 2019 Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction Residual Interspeech 2019 GMNN: Graph Markov Neural Networks ICML 2019 Goal-conditioned Imitation Learning NeurIPS 2019 Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019 GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection ICCV 2019 Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning NeurIPS 2019 GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019 Gradient based sample selection for online continual learning NeurIPS 2019 Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Graph Agreement Models for Semi-Supervised Learning NeurIPS 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Graph-Based Semi-Supervised Learning for Natural Language Understanding EMNLP 2019