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)
Almost Unsupervised Learning for Dense Crowd Counting
AAAI 2019
Almost Unsupervised Text to Speech and Automatic Speech Recognition
ICML 2019
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
ACL 2019
A Machine Learning Suite for Machine Components’ Health-Monitoring
AAAI 2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers
IJCAI 2019
Amalgamating Knowledge towards Comprehensive Classification
AAAI 2019
A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning
Interspeech 2019
A Meta-Analysis of Overfitting in Machine Learning
NeurIPS 2019
A Meta-Learning Approach for Custom Model Training
AAAI 2019
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
NeurIPS 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education
AAAI 2019
A Modular Architecture for Unsupervised Sarcasm Generation
EMNLP 2019
Amortized Bayesian Meta-Learning
ICLR 2019
AMP: Adaptive Masked Proxies for Few-Shot Segmentation
ICCV 2019
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
EMNLP 2019
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines
AAAI 2019
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction
ACL 2019
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation
EMNLP 2019
A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective
Interspeech 2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
NAACL 2019
A Multi-Task Architecture on Relevance-based Neural Query Translation
ACL 2019
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
AAAI 2019
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information
EMNLP 2019
A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision
CVPR 2019
An adaptive nearest neighbor rule for classification
NeurIPS 2019