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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'25
Papers (including subtopics)
Tracking the Best Expert in Non-stationary Stochastic Environments
NeurIPS 2016
Training Data Enrichment for Infrequent Discourse Relations
COLING 2016
Tree-Structured Reinforcement Learning for Sequential Object Localization
NeurIPS 2016
Tweet Sarcasm Detection Using Deep Neural Network
COLING 2016
Two Illuminant Estimation and User Correction Preference
CVPR 2016
Two-View Label Propagation to Semi-supervised Reader Emotion Classification
COLING 2016
Uncovering Voice Misuse Using Symbolic Mismatch
MLHC 2016
Understanding the Lexical Simplification Needs of Non-Native Speakers of English
COLING 2016
Unsupervised Adaptation of Recurrent Neural Network Language Models
Interspeech 2016
Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection
Interspeech 2016
Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification
CVPR 2016
Unsupervised Deep Auditory Model Using Stack of Convolutional RBMs for Speech Recognition
Interspeech 2016
Unsupervised Deep Embedding for Clustering Analysis
ICML 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
NeurIPS 2016
Unsupervised Ensemble Learning with Dependent Classifiers
AISTATS 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
NeurIPS 2016
Unsupervised Feature Selection by Preserving Stochastic Neighbors
AISTATS 2016
Unsupervised Joint Estimation of Grapheme-to-Phoneme Conversion Systems and Acoustic Model Adaptation for Non-Native Speech Recognition
Interspeech 2016
Unsupervised Learning for Physical Interaction through Video Prediction
NeurIPS 2016
Unsupervised Learning From Narrated Instruction Videos
CVPR 2016
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data
NeurIPS 2016
Unsupervised Learning of 3D Structure from Images
NeurIPS 2016
Unsupervised Learning of Acoustic Units Using Autoencoders and Kohonen Nets
Interspeech 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations
CVPR 2016
Unsupervised Learning of Edges
CVPR 2016