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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 to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks CVPR 2017 Learning to Identify Ambiguous and Misleading News Headlines IJCAI 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning to Learn Programs from Examples: Going Beyond Program Structure IJCAI 2017 Learning to Model the Tail NeurIPS 2017 Learning to Parse and Translate Improves Neural Machine Translation ACL 2017 Learning to Pivot with Adversarial Networks NeurIPS 2017 Learning to Read Irregular Text with Attention Mechanisms IJCAI 2017 Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017 Learning to Translate in Real-time with Neural Machine Translation EACL 2017 Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks IJCNLP 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Learning Video Object Segmentation From Static Images CVPR 2017 Learning Weakly Supervised Multimodal Phoneme Embeddings Interspeech 2017 Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers EMNLP 2017 Learning what to read: Focused machine reading EMNLP 2017 Learning with Feature Feedback: from Theory to Practice AISTATS 2017 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017 Learning with Previously Unseen Features IJCAI 2017 Learning Word Representations with Regularization from Prior Knowledge CoNLL 2017 Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness IJCNLP 2017 Level Playing Field for Million Scale Face Recognition CVPR 2017 Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification IJCNLP 2017 Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter ACL 2017 Leveraging Discourse Information Effectively for Authorship Attribution IJCNLP 2017