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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Papers (including subtopics)
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
ICLR 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
NeurIPS 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
NeurIPS 2019
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
ACL 2019
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
AAAI 2019
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
ACL 2019
A Unified Weight Learning Paradigm for Multi-view Learning
AISTATS 2019
A Universal Music Translation Network
ICLR 2019
Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification
Interspeech 2019
Autoencoding any Data through Kernel Autoencoders
AISTATS 2019
Auto-Encoding Total Correlation Explanation
AISTATS 2019
Automated Estimation of Food Type from Body-worn Audio and Motion Sensors in Free-Living Environments
MLHC 2019
Automatic Adaptation of Object Detectors to New Domains Using Self-Training
CVPR 2019
Automatic Argument Quality Assessment - New Datasets and Methods
EMNLP 2019
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
ICML 2019
Automatic Code Review by Learning the Revision of Source Code
AAAI 2019
Automatic Detection of Off-Topic Spoken Responses Using Very Deep Convolutional Neural Networks
Interspeech 2019
Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech
Interspeech 2019
Automatic Generation of Chinese Short Product Titles for Mobile Display
AAAI 2019
Automatic Generation of Personalized Comment Based on User Profile
ACL 2019
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
ACL 2019
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text
ACL 2019
Autoregressive Energy Machines
ICML 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
NAACL 2019
AutoSense Model for Word Sense Induction
AAAI 2019