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
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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)
Mirror Descent and the Information Ratio
COLT 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
CoNLL 2021
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys
EMNLP 2021
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities
ACL 2021
MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine Translation
EMNLP 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
CVPR 2021
MIST: Multiple Instance Spatial Transformer
CVPR 2021
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach
ACL 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
NeurIPS 2021
Mitigating Face Recognition Bias via Group Adaptive Classifier
CVPR 2021
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
NeurIPS 2021
Mitigating Political Bias in Language Models through Reinforced Calibration
AAAI 2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
NAACL 2021
Mixability made efficient: Fast online multiclass logistic regression
NeurIPS 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NeurIPS 2021
Mixed Nash Equilibria in the Adversarial Examples Game
ICML 2021
Mixed-Privacy Forgetting in Deep Networks
CVPR 2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
NeurIPS 2021
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
JMLR 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
ICCV 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
JMLR 2021
Mixture Proportion Estimation and PU Learning:A Modern Approach
NeurIPS 2021
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
ACL 2021
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts
AAAI 2021
MMTAfrica: Multilingual Machine Translation for African Languages
EMNLP 2021