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)
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
NeurIPS 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
ICML 2023
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection
ACL 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
cTBLS: Augmenting Large Language Models with Conversational Tables
ACL 2023
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
EMNLP 2023
CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
ICCV 2023
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
EMNLP 2023
CTVIS: Consistent Training for Online Video Instance Segmentation
ICCV 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning
IJCAI 2023
CUDA: Convolution-Based Unlearnable Datasets
CVPR 2023
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
WACV 2023
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
EMNLP 2023
Curating Datasets for Better Performance with Example Training Dynamics
ACL 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
ICML 2023
Curious Replay for Model-based Adaptation
ICML 2023
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing
CVPR 2023
Curricular Object Manipulation in LiDAR-Based Object Detection
CVPR 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
ICML 2023
Curriculum Graph Machine Learning: A Survey
IJCAI 2023
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach
ACL 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
NeurIPS 2023
Curriculum Learning for Self-supervised Speaker Verification
Interspeech 2023
Curriculum Learning With Infant Egocentric Videos
NeurIPS 2023
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
AAAI 2023