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)
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods
EMNLP 2017
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos
CVPR 2017
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
ICML 2017
Split and Rephrase
EMNLP 2017
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
CVPR 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
ICML 2017
Stabilizing Training of Generative Adversarial Networks through Regularization
NeurIPS 2017
Stacked Similarity-Aware Autoencoders
IJCAI 2017
State Aware Imitation Learning
NeurIPS 2017
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
CVPR 2017
Steering Output Style and Topic in Neural Response Generation
EMNLP 2017
ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks
ACML 2017
Stochastic Gradient MCMC Methods for Hidden Markov Models
ICML 2017
Stochastic Online Anomaly Analysis for Streaming Time Series
IJCAI 2017
Storage Fit Learning with Unlabeled Data
IJCAI 2017
Streaming Sparse Gaussian Process Approximations
NeurIPS 2017
Structured Generative Adversarial Networks
NeurIPS 2017
STS-UHH at SemEval-2017 Task 1: Scoring Semantic Textual Similarity Using Supervised and Unsupervised Ensemble
SemEval 2017
Studying the Link Between Inter-Speaker Coordination and Speech Imitation Through Human-Machine Interactions
Interspeech 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
NeurIPS 2017
Subject-Independent Classification of Japanese Spoken Sentences by Multiple Frequency Bands Phase Pattern of EEG Response During Speech Perception
Interspeech 2017
Subspace Clustering via Tangent Cones
NeurIPS 2017
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora
IJCNLP 2017
Successor Features for Transfer in Reinforcement Learning
NeurIPS 2017
Summarizing Lengthy Questions
IJCNLP 2017