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)
Sample Efficient Imitation Learning for Continuous Control
ICLR 2019
Sample-Efficient Imitation Learning via Generative Adversarial Nets
AISTATS 2019
Sampling Bias in Deep Active Classification: An Empirical Study
EMNLP 2019
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
EMNLP 2019
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects
CVPR 2019
SANTLR: Speech Annotation Toolkit for Low Resource Languages
Interspeech 2019
SAO WMT19 Test Suite: Machine Translation of Audit Reports
ACL 2019
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart
AAAI 2019
Scalable inference of topic evolution via models for latent geometric structures
NeurIPS 2019
Scalable Methods for Annotating Legal-Decision Corpora
NAACL 2019
Scalable Recollections for Continual Lifelong Learning
AAAI 2019
Scalable, Semi-Supervised Extraction of Structured Information from Scientific Literature
NAACL 2019
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
IJCAI 2019
Scalable Thompson Sampling via Optimal Transport
AISTATS 2019
Scalable Verified Training for Provably Robust Image Classification
ICCV 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
ICCV 2019
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
NAACL 2019
Scaling Object Detection by Transferring Classification Weights
ICCV 2019
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
ACL 2019
Scene Graph Prediction With Limited Labels
ICCV 2019
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
CoRL 2019
Scheduled Sampling for Transformers
ACL 2019
SciBERT: A Pretrained Language Model for Scientific Text
EMNLP 2019
scikit-multilearn: A Python library for Multi-Label Classification
JMLR 2019
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
NAACL 2019