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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'20
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Papers (including subtopics)
Acceleration through Optimistic No-Regret Dynamics
NeurIPS 2018
Accurate Inference for Adaptive Linear Models
ICML 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression
ICML 2018
A Classification-Based Study of Covariate Shift in GAN Distributions
ICML 2018
A Comparison of Character Neural Language Model and Bootstrapping for Language Identification in Multilingual Noisy Texts
NAACL 2018
A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets
ACL 2018
A Computational Exploration of Exaggeration
EMNLP 2018
A Computational Model for the Linguistic Notion of Morphological Paradigm
COLING 2018
A Convex Duality Framework for GANs
NeurIPS 2018
Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis
Interspeech 2018
Action Sets: Weakly Supervised Action Segmentation Without Ordering Constraints
CVPR 2018
Active Discriminative Network Representation Learning
IJCAI 2018
Active DOP: A constituency treebank annotation tool with online learning
COLING 2018
Active Learning for Convolutional Neural Networks: A Core-Set Approach
ICLR 2018
Active learning for deep semantic parsing
ACL 2018
Active Learning for Interactive Neural Machine Translation of Data Streams
CoNLL 2018
Active Learning for LF-MMI Trained Neural Networks in ASR
Interspeech 2018
Active Learning for Non-Parametric Regression Using Purely Random Trees
NeurIPS 2018
Active Learning with Logged Data
ICML 2018
Actively Avoiding Nonsense in Generative Models
COLT 2018
Active Matting
NeurIPS 2018
Active Nearest-Neighbor Learning in Metric Spaces
JMLR 2018
Active Neural Localization
ICLR 2018
Active Recurrence of Lighting Condition for Fine-Grained Change Detection
IJCAI 2018
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
ICML 2018