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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

LanideNN: Multilingual Language Identification on Character Window EACL 2017 Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL 2017 Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017 Latent Feature Lasso ICML 2017 Latent Multi-View Subspace Clustering CVPR 2017 Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017 Learning Active Learning from Data NeurIPS 2017 Learning a Deep Embedding Model for Zero-Shot Learning CVPR 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Learning Algorithms for Active Learning ICML 2017 Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach IJCAI 2017 Learning and Knowledge Transfer with Memory Networks for Machine Comprehension EACL 2017 Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences CVPR 2017 Learning a Neural Semantic Parser from User Feedback ACL 2017 Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017 Learning attention for historical text normalization by learning to pronounce ACL 2017 Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017 Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks CVPR 2017 Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images CVPR 2017 Learning Causal Structures Using Regression Invariance NeurIPS 2017 Learning Constrained Generalizable Policies by Demonstration RSS 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Learning Cross-Modal Embeddings for Cooking Recipes and Food Images CVPR 2017 Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact CoRL 2017