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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26
18
20
135
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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)
Towards Reliable Learning for High Stakes Applications
AAAI 2019
Towards Robust Named Entity Recognition for Historic German
ACL 2019
Towards Robust Relational Causal Discovery
UAI 2019
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
CVPR 2019
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search
AAAI 2019
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1
ACL 2019
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach
AAAI 2019
Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues
Interspeech 2019
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings
ICCV 2019
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings
ACL 2019
Towards Zero-resource Cross-lingual Entity Linking
EMNLP 2019
Towards Zero-shot Language Modeling
EMNLP 2019
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers
CVPR 2019
Trainable Undersampling for Class-Imbalance Learning
AAAI 2019
Training Complex Models with Multi-Task Weak Supervision
AAAI 2019
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content
EMNLP 2019
Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior
CVPR 2019
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
AAAI 2019
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
ICLR 2019
Training Image Estimators without Image Ground Truth
NeurIPS 2019
Training Neural Machine Translation to Apply Terminology Constraints
ACL 2019
Training Neural Networks with Local Error Signals
ICML 2019
Training Neural Response Selection for Task-Oriented Dialogue Systems
ACL 2019
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
EMNLP 2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
NAACL 2019