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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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220
477
4,652
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2000
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Papers (including subtopics)

Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 Geometric Enclosing Networks IJCAI 2018 Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning CVPR 2018 Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018 GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose CVPR 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018 Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities ACL 2018 GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task SemEval 2018 Global Versus Localized Generative Adversarial Nets CVPR 2018 GLoMo: Unsupervised Learning of Transferable Relational Graphs NeurIPS 2018 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding EMNLP 2018 Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning IJCAI 2018 GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning CoRL 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace ICML 2018 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018 GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks ICML 2018 GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning CVPR 2018 Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation NeurIPS 2018 Graphical Generative Adversarial Networks NeurIPS 2018 Grasp2Vec: Learning Object Representations from Self-Supervised Grasping CoRL 2018 Grounding language acquisition by training semantic parsers using captioned videos EMNLP 2018 Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter NAACL 2018 Guess Me if You Can: Acronym Disambiguation for Enterprises ACL 2018 Guide Me: Interacting With Deep Networks CVPR 2018