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)
Machine Translation into Low-resource Language Varieties
ACL 2021
Machine Translation of Low-Resource Indo-European Languages
EMNLP 2021
Machine Unlearning for Random Forests
ICML 2021
Machine Unlearning via Algorithmic Stability
COLT 2021
MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes
CVPR 2021
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training
SemEval 2021
Majorizing Measures, Sequential Complexities, and Online Learning
COLT 2021
Making a (Counterfactual) Difference One Rationale at a Time
NeurIPS 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
AAAI 2021
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
AAAI 2021
Manipulating SGD with Data Ordering Attacks
NeurIPS 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
AAAI 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
EMNLP 2021
Mapping probability word problems to executable representations
EMNLP 2021
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
ICML 2021
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts
EMNLP 2021
MarioNette: Self-Supervised Sprite Learning
NeurIPS 2021
Markpainting: Adversarial Machine Learning meets Inpainting
ICML 2021
Mask-Align: Self-Supervised Neural Word Alignment
ACL 2021
Masked Contrastive Learning for Anomaly Detection
IJCAI 2021
maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector
WACV 2021
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
IJCAI 2021
Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis
CVPR 2021
Mask Selection and Propagation for Unsupervised Video Object Segmentation
WACV 2021