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)
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction
EMNLP 2019
Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks
CVPR 2019
Synthesizing Datalog Programs using Numerical Relaxation
IJCAI 2019
Synthetic Datasets for Neural Program Synthesis
ICLR 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
AAAI 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
EMNLP 2019
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
CVPR 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
CVPR 2019
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss
ICCV 2019
Talk2Car: Taking Control of Your Self-Driving Car
EMNLP 2019
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
AAAI 2019
Talking Face Generation by Conditional Recurrent Adversarial Network
IJCAI 2019
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
CVPR 2019
TAPAS: Train-Less Accuracy Predictor for Architecture Search
AAAI 2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
ACL 2019
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower
ICCV 2019
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing
EMNLP 2019
TarMAC: Targeted Multi-Agent Communication
ICML 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
ICML 2019
Task Agnostic Meta-Learning for Few-Shot Learning
CVPR 2019
Task-Conditioned Variational Autoencoders for Learning Movement Primitives
CoRL 2019
Task-Driven Common Representation Learning via Bridge Neural Network
AAAI 2019
Task-Driven Modular Networks for Zero-Shot Compositional Learning
ICCV 2019
Task-Free Continual Learning
CVPR 2019
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
ACL 2019