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)
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization
UAI 2026
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
ACL 2026
StoryTailor:A Zero-Shot Pipeline for Action-Rich Multi-Subject Visual Narratives
CVPR 2026
Streaming Video Instruction Tuning
CVPR 2026
Streamlined Knowledge Distillation
CVPR 2026
STRNet: Visual Navigation with Spatio-Temporal Representation through Dynamic Graph Aggregation
CVPR 2026
Structural Action Transformer for 3D Dexterous Manipulation
CVPR 2026
Structure-Aware Representation Distillation for Tiny-Dense Object Segmentation
CVPR 2026
Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts
ACL 2026
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
MIDL 2026
Style-GRPO: Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling
CVPR 2026
StyleTextGen: Style-Conditioned Multilingual Scene Text Generation
CVPR 2026
Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport
CVPR 2026
Success and Cost Elicit Convention Formation for Efficient Communication
ACL 2026
Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency
ACL 2026
SU NLP 29 at SemEval-2026 Task 5: DynaOrd - Hybrid Dynamic Ordinal Regression with LoRA-Fine-Tuned DeBERTa-v3
SemEval 2026
Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification
ACL 2026
SVS-GAN for Semantic Synthesis of Traffic Videos for Autonomous Driving
WACV 2026
SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation
SemEval 2026
SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
CVPR 2026
SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling
NSDI 2026
SynCLIP: Synonym-Coherent Language-Image Pretraining for Robust Open-Vocabulary Dense Perception
CVPR 2026
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation
CVPR 2026
SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception
WACV 2026
SyntaxMind at SemEval-2026 Task 6: Exploring Transformers and LLMs for Unmasking Political Question Evasions
SemEval 2026