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)
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
COLT 2023
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
NeurIPS 2023
Contextual bandits with concave rewards, and an application to fair ranking
ICLR 2023
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression
COLT 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
ICML 2023
Contextual Conservative Interleaving Bandits
ICML 2023
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
ICLR 2023
Contextual Interaction for Argument Post Quality Assessment
EMNLP 2023
Contextual Knowledge Learning for Dialogue Generation
ACL 2023
Contextually Affinitive Neighborhood Refinery for Deep Clustering
NeurIPS 2023
ConTextual Masked Auto-Encoder for Dense Passage Retrieval
AAAI 2023
Contextual Reliability: When Different Features Matter in Different Contexts
ICML 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
Continual Dialogue State Tracking via Example-Guided Question Answering
EMNLP 2023
Continual evaluation for lifelong learning: Identifying the stability gap
ICLR 2023
Continual Event Extraction with Semantic Confusion Rectification
EMNLP 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
EMNLP 2023
Continual Graph Convolutional Network for Text Classification
AAAI 2023
Continual Knowledge Distillation for Neural Machine Translation
ACL 2023
Continual Learners are Incremental Model Generalizers
ICML 2023
Continual Learning for Instruction Following from Realtime Feedback
NeurIPS 2023
Continual Learning for Personalized Co-speech Gesture Generation
ICCV 2023
Continual Learning in Linear Classification on Separable Data
ICML 2023
Continual Learning With Dependency Preserving Hypernetworks
WACV 2023