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
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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)
Masksembles for Uncertainty Estimation
CVPR 2021
MassiveSumm: a very large-scale, very multilingual, news summarisation dataset
EMNLP 2021
Matching a Desired Causal State via Shift Interventions
NeurIPS 2021
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
ACL 2021
Matchings with Group Fairness Constraints: Online and Offline Algorithms
IJCAI 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
ACL 2021
Math Word Problem Solving with Explicit Numerical Values
ACL 2021
Matrix games with bandit feedback
UAI 2021
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models
EACL 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
ICML 2021
Maximum Roaming Multi-Task Learning
AAAI 2021
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
CVPR 2021
Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations
ACML 2021
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
CVPR 2021
MBA-VO: Motion Blur Aware Visual Odometry
ICCV 2021
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets
ICCV 2021
mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
EMNLP 2021
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward
IJCAI 2021
Mean Shift for Self-Supervised Learning
ICCV 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
AAAI 2021
Measuring and Improving BERT’s Mathematical Abilities by Predicting the Order of Reasoning.
ACL 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
ACL 2021
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
ACL 2021
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach
ACL 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
MLHC 2021