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
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'10
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'20
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Papers (including subtopics)
Learning to Walk Via Deep Reinforcement Learning
RSS 2019
Learning towards Abstractive Timeline Summarization
IJCAI 2019
Learning to Write Stories with Thematic Consistency and Wording Novelty
AAAI 2019
Learning Transferable Feature Representations Using Neural Networks
ACL 2019
Learning Transferable Graph Exploration
NeurIPS 2019
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
AAAI 2019
Learning Transformation Synchronization
CVPR 2019
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
AAAI 2019
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
NAACL 2019
Learning value functions with relational state representations for guiding task-and-motion planning
CoRL 2019
Learning Vine Copula Models for Synthetic Data Generation
AAAI 2019
Learning Weighted Top-k Support Vector Machine
ACML 2019
Learning what and where to attend
ICLR 2019
Learning what you can do before doing anything
ICLR 2019
Learning with Bad Training Data via Iterative Trimmed Loss Minimization
ICML 2019
Learning with Limited Data for Multilingual Reading Comprehension
EMNLP 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
EMNLP 2019
Learning Without Memorizing
CVPR 2019
Learning With Unsure Data for Medical Image Diagnosis
ICCV 2019
Learning Words by Drawing Images
CVPR 2019
Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition
Interspeech 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
ICML 2019
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network
IJCAI 2019
Legal Linking: Citation Resolution and Suggestion in Constitutional Law
NAACL 2019
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
AAAI 2019