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)
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
EMNLP 2024
CoSy: Evaluating Textual Explanations of Neurons
NeurIPS 2024
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
ICLR 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
NeurIPS 2024
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
AAAI 2024
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
AAAI 2024
Countering Relearning with Perception Revising Unlearning
ACML 2024
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
ACL 2024
CountGD: Multi-Modal Open-World Counting
NeurIPS 2024
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model
NeurIPS 2024
Course-Correction: Safety Alignment Using Synthetic Preferences
EMNLP 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
CoVR: Learning Composed Video Retrieval from Web Video Captions
AAAI 2024
cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
NeurIPS 2024
CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement
CVPR 2024
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment
CVPR 2024
CPR: Retrieval Augmented Generation for Copyright Protection
CVPR 2024
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
NeurIPS 2024
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
EMNLP 2024
Credal Deep Ensembles for Uncertainty Quantification
NeurIPS 2024
Critical Learning Periods: Leveraging Early Training Dynamics for Efficient Data Pruning
ACL 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
ICML 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues
AAAI 2024
Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks
AAAI 2024