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)
Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
IJCAI 2024
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
AAAI 2024
Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification
WACV 2024
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation
EMNLP 2024
Controllable Citation Sentence Generation with Language Models
ACL 2024
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
ACL 2024
Controlled maximal variability along with reliable performance in recurrent neural networks
NeurIPS 2024
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
ACL 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
EMNLP 2024
ControlMath: Controllable Data Generation Promotes Math Generalist Models
EMNLP 2024
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
NeurIPS 2024
ControlRoom3D: Room Generation using Semantic Proxy Rooms
CVPR 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
EMNLP 2024
Convolutional Prompting meets Language Models for Continual Learning
CVPR 2024
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
AAAI 2024
Co-occurrence is not Factual Association in Language Models
NeurIPS 2024
Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation
CVPR 2024
Cooperative Meta-Learning with Gradient Augmentation
UAI 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
ICLR 2024
CoPL: Contextual Prompt Learning for Vision-Language Understanding
AAAI 2024
CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image
CVPR 2024
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
CVPR 2024
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
CVPR 2024
CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles
ACL 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection
CVPR 2024