Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Cross-Domain Contrastive Learning for Time Series Clustering
AAAI 2024
Cross-Domain Feature Augmentation for Domain Generalization
IJCAI 2024
Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data
WACV 2024
Cross Initialization for Face Personalization of Text-to-Image Models
CVPR 2024
CrossKD: Cross-Head Knowledge Distillation for Object Detection
CVPR 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
AAAI 2024
Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting
ACML 2024
Cross-lingual Contextualized Phrase Retrieval
EMNLP 2024
Cross-lingual Emotion Detection through Large Language Models
ACL 2024
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages
EMNLP 2024
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
AAAI 2024
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
AAAI 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification
NeurIPS 2024
Cross-Modal Match for Language Conditioned 3D Object Grounding
AAAI 2024
Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space
ACL 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization
NeurIPS 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training
NeurIPS 2024
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
NAACL 2024
Cross-video Identity Correlating for Person Re-identification Pre-training
NeurIPS 2024
Cross-view and Cross-pose Completion for 3D Human Understanding
CVPR 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
ACL 2024
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
NeurIPS 2024
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
NeurIPS 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems
AAAI 2024
CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs
UAI 2024