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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'20
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Papers (including subtopics)
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
NeurIPS 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
NeurIPS 2019
Using a Manifold Vocoder for Spectral Voice and Style Conversion
Interspeech 2019
Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition
Interspeech 2019
Using Automated Agents to Teach Negotiation
AAAI 2019
Using Benson’s Algorithm for Regularization Parameter Tracking
AAAI 2019
Using Clinical Notes with Time Series Data for ICU Management
EMNLP 2019
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning
EMNLP 2019
Using Embeddings to Correct for Unobserved Confounding in Networks
NeurIPS 2019
Using Functional Schemas to Understand Social Media Narratives
ACL 2019
Using Human Attention to Extract Keyphrase from Microblog Post
ACL 2019
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning
ACL 2019
Using Natural Language for Reward Shaping in Reinforcement Learning
IJCAI 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
NeurIPS 2019
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
ACL 2019
Using Snomed to recognize and index chemical and drug mentions.
EMNLP 2019
Using Unknown Occluders to Recover Hidden Scenes
CVPR 2019
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds
ICCV 2019
Utilizing Class Information for Deep Network Representation Shaping
AAAI 2019
Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task
ACL 2019
Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons
IJCAI 2019
UVA Wahoos at SemEval-2019 Task 6: Hate Speech Identification using Ensemble Machine Learning
SemEval 2019
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm
NeurIPS 2019
Value Iteration Networks on Multiple Levels of Abstraction
RSS 2019
Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction
ACL 2019