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)
CamoFA: A Learnable Fourier-Based Augmentation for Camouflage Segmentation
WACV 2025
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
AAAI 2025
Can Explicit Gender Information Improve Zero-Shot Machine Translation?
ACL 2025
Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge?
ACL 2025
Can Generative Models Improve Self-Supervised Representation Learning?
AAAI 2025
Can Generative Video Models Help Pose Estimation?
CVPR 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL 2025
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP 2025
Can Indirect Prompt Injection Attacks Be Detected and Removed?
ACL 2025
Can Language Models Capture Human Writing Preferences for Domain-Specific Text Summarization?
ACL 2025
Can Large Language Models Act as Ensembler for Multi-GNNs?
EMNLP 2025
Can Large Language Models Personalize Dialogues to Generational Styles?
EMNLP 2025
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates
ACL 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
ACL 2025
Can Stories Help LLMs Reason? Curating Information Space Through Narrative
ACL 2025
Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias
AAAI 2025
Can Text-to-Video Generation help Video-Language Alignment?
CVPR 2025
Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
CVPR 2025
Can Vision-Language Models Evaluate Handwritten Math?
ACL 2025
Can Vision Language Models Understand Mimed Actions?
ACL 2025
Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models
ACL 2025
Can VLMs Recall Factual Associations From Visual References?
EMNLP 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
ICCV 2025
Can We Predict Performance of Large Models across Vision-Language Tasks?
ICML 2025