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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)

Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization ICLR 2018 Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018 Learning Loop Invariants for Program Verification NeurIPS 2018 Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots ACL 2018 Learning Monocular 3D Human Pose Estimation From Multi-View Images CVPR 2018 Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances CVPR 2018 Learning multiview embeddings for assessing dementia EMNLP 2018 Learning Named Entity Tagger using Domain-Specific Dictionary EMNLP 2018 Learning Neural Parsers with Deterministic Differentiable Imitation Learning CoRL 2018 Learning Neural Representation for CLIR with Adversarial Framework EMNLP 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NeurIPS 2018 Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments CoRL 2018 Learning Patterns for Detection with Multiscale Scan Statistics COLT 2018 Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems NeurIPS 2018 Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation CVPR 2018 Learning Policy Representations in Multiagent Systems ICML 2018 Learning Portable Symbolic Representations IJCAI 2018 Learning Pose Specific Representations by Predicting Different Views CVPR 2018 Learning Priors for Invariance AISTATS 2018 Learning Prototypical Goal Activities for Locations ACL 2018 Learning Representations for Detecting Abusive Language EMNLP 2018 Learning representations for sentiment classification using Multi-task framework EMNLP 2018 Learning Safe Policies with Expert Guidance NeurIPS 2018 Learning Semantic Representations for Unsupervised Domain Adaptation ICML 2018