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)
Multi-Task Self-Training for Learning General Representations
ICCV 2021
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification
EMNLP 2021
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries
ACL 2021
Multi-type Disentanglement without Adversarial Training
AAAI 2021
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
ICLR 2021
Multi-view Contrastive Graph Clustering
NeurIPS 2021
Multi-view Inference for Relation Extraction with Uncertain Knowledge
AAAI 2021
Multi-View Information-Bottleneck Representation Learning
AAAI 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
JMLR 2021
Multiview Pseudo-Labeling for Semi-Supervised Learning From Video
ICCV 2021
Multi-View Representation Learning via Total Correlation Objective
NeurIPS 2021
Multi-View Representation Learning with Manifold Smoothness
AAAI 2021
Multi-view Subword Regularization
NAACL 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
EMNLP 2021
MUSCLE: Strengthening Semi-Supervised Learning via Concurrent Unsupervised Learning Using Mutual Information Maximization
WACV 2021
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image
ICCV 2021
Mutual CRF-GNN for Few-Shot Learning
CVPR 2021
Mutual Information Enhanced Training for Speaker Embedding
Interspeech 2021
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
WACV 2021
Mutual Information State Intrinsic Control
ICLR 2021
mvlearn: Multiview Machine Learning in Python
JMLR 2021
Naive Bayes versus BERT: Jupyter notebook assignments for an introductory NLP course
NAACL 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
ACL 2021
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering
NAACL 2021
Narrative Plan Generation with Self-Supervised Learning
AAAI 2021