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)
Migration as Submodular Optimization
AAAI 2019
Mindful Active Learning
IJCAI 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
IJCAI 2019
Minimally-Augmented Grammatical Error Correction
EMNLP 2019
Minimally Supervised Learning of Affective Events Using Discourse Relations
EMNLP 2019
Minimal Variance Sampling in Stochastic Gradient Boosting
NeurIPS 2019
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
ACML 2019
Minimizers of the Empirical Risk and Risk Monotonicity
NeurIPS 2019
Minimum Intervention Cover of a Causal Graph
AAAI 2019
Mining Discourse Markers for Unsupervised Sentence Representation Learning
NAACL 2019
Mining Entity Synonyms with Efficient Neural Set Generation
AAAI 2019
Mining GOLD Samples for Conditional GANs
NeurIPS 2019
Min-Max Statistical Alignment for Transfer Learning
CVPR 2019
MIPT System for World-Level Quality Estimation
ACL 2019
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
AAAI 2019
MiSC: Mixed Strategies Crowdsourcing
IJCAI 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
ICLR 2019
Misleading Failures of Partial-input Baselines
ACL 2019
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images
ICCV 2019
Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances
ACL 2019
Mitigating Gender and L1 Differences to Improve State and Trait Recognition
Interspeech 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
CVPR 2019
Mixed High-Order Attention Network for Person Re-Identification
ICCV 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
ICML 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
NeurIPS 2019