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)
Slicing Mutual Information Generalization Bounds for Neural Networks
ICML 2024
SlimSAM: 0.1% Data Makes Segment Anything Slim
NeurIPS 2024
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
NeurIPS 2024
SLM as Guardian: Pioneering AI Safety with Small Language Model
EMNLP 2024
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
NeurIPS 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
Small But Funny: A Feedback-Driven Approach to Humor Distillation
ACL 2024
Small Language Model Can Self-Correct
AAAI 2024
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
EMNLP 2024
Small Models are Valuable Plug-ins for Large Language Models
ACL 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
ACL 2024
Small Scale Data-Free Knowledge Distillation
CVPR 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
NeurIPS 2024
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
CVPR 2024
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
CVPR 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
NeurIPS 2024
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
AAAI 2024
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
NeurIPS 2024
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
CVPR 2024
SMR: State Memory Replay for Long Sequence Modeling
ACL 2024
SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
UAI 2024
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
CVPR 2024
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
CVPR 2024
SOAP: Cross-Sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-Labelling
WACV 2024
SocialBench: Sociality Evaluation of Role-Playing Conversational Agents
ACL 2024