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)
Prioritized Level Replay
ICML 2021
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation
ICCV 2021
Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification
Interspeech 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
CVPR 2021
PR-Net: Preference Reasoning for Personalized Video Highlight Detection
ICCV 2021
Proactive Privacy-preserving Learning for Retrieval
AAAI 2021
Probabilistic Iterative Methods for Linear Systems
JMLR 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training
NeurIPS 2021
Probabilistic Model Distillation for Semantic Correspondence
CVPR 2021
Probabilistic Programming Bots in Intuitive Physics Game Play
AAAI 2021
Probabilistic Transformer For Time Series Analysis
NeurIPS 2021
Probability Paths and the Structure of Predictions over Time
NeurIPS 2021
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents
EACL 2021
Probing Language Models for Understanding of Temporal Expressions
EMNLP 2021
Probing Multilingual Language Models for Discourse
ACL 2021
Problem Dependent View on Structured Thresholding Bandit Problems
ICML 2021
Procrustean Training for Imbalanced Deep Learning
ICCV 2021
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining
ICCV 2021
Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction
NAACL 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
EMNLP 2021
Progressive Correspondence Pruning by Consensus Learning
ICCV 2021
Progressive Domain Expansion Network for Single Domain Generalization
CVPR 2021
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences
CVPR 2021
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction
AAAI 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation
AAAI 2021