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)
Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities
ACL 2025
Scaling Low-Resource MT via Synthetic Data Generation with LLMs
EMNLP 2025
Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities
ICCV 2025
Scaling pseudo-labeling data for end-to-end low-resource speech translation (the case of Kurdish language)
Interspeech 2025
Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis
MIDL 2025
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
ACL 2025
Scaling up Image Segmentation across Data and Tasks
CVPR 2025
SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency
ICCV 2025
ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction
ACL 2025
SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering
AAAI 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
ACL 2025
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
CVPR 2025
Scene-Centric Unsupervised Panoptic Segmentation
CVPR 2025
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
ACL 2025
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining
ICCV 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
ICML 2025
ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction
AAAI 2025
SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection
ACL 2025
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
EMNLP 2025
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
ACL 2025
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
AAAI 2025
Score-based Self-supervised MRI Denoising
ICLR 2025
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
AISTATS 2025
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
AAAI 2025
ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data
SemEval 2025