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
'5
'10
'15
'20
'25
Papers (including subtopics)
Influence Selection for Active Learning
ICCV 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
EMNLP 2021
Influencing Towards Stable Multi-Agent Interactions
CoRL 2021
InfoGCL: Information-Aware Graph Contrastive Learning
NeurIPS 2021
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
WACV 2021
Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract)
AAAI 2021
Information Directed Sampling for Sparse Linear Bandits
NeurIPS 2021
Information Obfuscation of Graph Neural Networks
ICML 2021
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw
Interspeech 2021
Information-Theoretic Regularization for Multi-Source Domain Adaptation
ICCV 2021
Information-Theoretic Segmentation by Inpainting Error Maximization
CVPR 2021
Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
CVPR 2021
Informative and Controllable Opinion Summarization
EACL 2021
Informed Sampling for Diversity in Concept-to-Text NLG
EMNLP 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
NAACL 2021
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
AAAI 2021
Initiative Defense against Facial Manipulation
AAAI 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
ICLR 2021
Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese
ACL 2021
Instance-adaptive training with noise-robust losses against noisy labels
EMNLP 2021
Instance-dependent Label-noise Learning under a Structural Causal Model
NeurIPS 2021
Instance-Dependent Partial Label Learning
NeurIPS 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
CVPR 2021
Instance Localization for Self-Supervised Detection Pretraining
CVPR 2021
Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
AAAI 2021