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
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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)
Transfer Learning for Health-related Twitter Data
ACL 2019
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
ICML 2019
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
ACL 2019
Transfer Learning via Minimizing the Performance Gap Between Domains
NeurIPS 2019
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
CVPR 2019
Transfer-Representation Learning for Detecting Spoofing Attacks with Converted and Synthesized Speech in Automatic Speaker Verification System
Interspeech 2019
Transferring Knowledge across Learning Processes
ICLR 2019
Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts
ACL 2019
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
ACL 2019
Translate-to-Recognize Networks for RGB-D Scene Recognition
CVPR 2019
Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System
ACL 2019
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
ACL 2019
Translating with Bilingual Topic Knowledge for Neural Machine Translation
AAAI 2019
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions
CVPR 2019
TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning
CVPR 2019
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
IJCAI 2019
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
ICLR 2019
Tree Transformer: Integrating Tree Structures into Self-Attention
EMNLP 2019
Triad Constraints for Learning Causal Structure of Latent Variables
NeurIPS 2019
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning
EMNLP 2019
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
EMNLP 2019
Truly Batch Apprenticeship Learning with Deep Successor Features
IJCAI 2019
Truly Proximal Policy Optimization
UAI 2019
Trust Region Based Adversarial Attack on Neural Networks
CVPR 2019
Trust Region Evolution Strategies
AAAI 2019