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)
Non-Asymptotic Pure Exploration by Solving Games
NeurIPS 2019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
AISTATS 2019
Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models
ICML 2019
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
AAAI 2019
Non-Monotonic Sequential Text Generation
ICML 2019
Nonparallel Emotional Speech Conversion
Interspeech 2019
Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks
Interspeech 2019
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
Interspeech 2019
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
NeurIPS 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
NeurIPS 2019
Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials
EMNLP 2019
Nonstochastic Multiarmed Bandits with Unrestricted Delays
NeurIPS 2019
Nonverbal Robot Feedback for Human Teachers
CoRL 2019
Nonzero-sum Adversarial Hypothesis Testing Games
NeurIPS 2019
No Permanent Friends or Enemies: Tracking Relationships between Nations from News
NAACL 2019
No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
AAAI 2019
Normalized Diversification
CVPR 2019
Normal Variance-Mean Mixtures for Unsupervised Score Calibration
Interspeech 2019
Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses
CVPR 2019
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
ICCV 2019
Novelty Detection for Multispectral Images with Application to Planetary Exploration
AAAI 2019
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
AAAI 2019
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks
ICCV 2019
Object-Aware Instance Labeling for Weakly Supervised Object Detection
ICCV 2019
Object Counting and Instance Segmentation With Image-Level Supervision
CVPR 2019