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)
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
NeurIPS 2019
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
AAAI 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR 2019
Strategic Tasks for Explainable Reinforcement Learning
AAAI 2019
Strategizing against No-regret Learners
NeurIPS 2019
Streaming Bayesian Inference for Crowdsourced Classification
NeurIPS 2019
Streaming Principal Component Analysis From Incomplete Data
JMLR 2019
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
CVPR 2019
Striking the Right Balance With Uncertainty
CVPR 2019
StrokeNet: A Neural Painting Environment
ICLR 2019
Structural Scaffolds for Citation Intent Classification in Scientific Publications
NAACL 2019
Structured Disentangled Representations
AISTATS 2019
Structured Minimally Supervised Learning for Neural Relation Extraction
NAACL 2019
Structured Neural Topic Models for Reviews
AISTATS 2019
Structured Prediction with Projection Oracles
NeurIPS 2019
Structure Learning with Side Information: Sample Complexity
NeurIPS 2019
Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching
CVPR 2019
Studying Summarization Evaluation Metrics in the Appropriate Scoring Range
ACL 2019
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
ACL 2019
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation
NAACL 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
NeurIPS 2019
Subspace Inference for Bayesian Deep Learning
UAI 2019
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering
ICCV 2019
Subtask Gated Networks for Non-Intrusive Load Monitoring
AAAI 2019
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
AAAI 2019