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)
Mining Possessions: Existence, Type and Temporal Anchors
NAACL 2018
Mining Streaming and Temporal Data: from Representation to Knowledge
IJCAI 2018
Mitigating Adversarial Effects Through Randomization
ICLR 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
ICML 2018
MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge
SemEval 2018
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
CVPR 2018
Mixed batches and symmetric discriminators for GAN training
ICML 2018
Mixed Causal Structure Discovery with Application to Prescriptive Pricing
IJCAI 2018
Mix & Match Agent Curricula for Reinforcement Learning
ICML 2018
Mixture of GANs for Clustering
IJCAI 2018
MoCoGAN: Decomposing Motion and Content for Video Generation
CVPR 2018
Model-Agnostic Private Learning
NeurIPS 2018
Model Agnostic Supervised Local Explanations
NeurIPS 2018
Model-free, Model-based, and General Intelligence
IJCAI 2018
Modeling Naive Psychology of Characters in Simple Commonsense Stories
ACL 2018
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
NAACL 2018
Modeling with Recurrent Neural Networks for Open Vocabulary Slots
COLING 2018
Model-Level Dual Learning
ICML 2018
Modelling and unsupervised learning of symmetric deformable object categories
NeurIPS 2018
Modular Continual Learning in a Unified Visual Environment
ICLR 2018
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
NAACL 2018
Monte-Carlo Tree Search for Constrained POMDPs
NeurIPS 2018
More Adaptive Algorithms for Adversarial Bandits
COLT 2018
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing
EMNLP 2018
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
Interspeech 2018