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
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'25
Papers (including subtopics)
RPI Team at SemEval-2026 Task 3: An LLM-Encoder Ensemble for Coarse-to-Fine Valence-Arousal Sentiment Prediction
SemEval 2026
rPPG-VQA: A Video Quality Assessment Framework for Unsupervised rPPG Training
CVPR 2026
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
ACL 2026
RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
CVPR 2026
Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers
ACL 2026
S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
CVPR 2026
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
ACL 2026
Safe-FedLLM: Delving into the Safety of Federated Large Language Models
ACL 2026
SafeLogo: Turning Your Logos into Jailbreak Shields via Micro-Regional Adversarial Training
CVPR 2026
Sagarmatha at SemEval-2026 Task 9: Heterogeneous Ensembling and Hierarchical Task Conditioning for Multilingual Latent Distributional Divergence Modeling
SemEval 2026
SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
ACL 2026
SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains
CVPR 2026
SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning
CVPR 2026
SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
CVPR 2026
SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge
ACL 2026
Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning
CVPR 2026
Same Benchmark, Same Subspace: Task-Selective Convergence in LLM Representations
UAI 2026
SAMIX: Reinforcing SAM2 with Semantic Adapter and Reference Selecting Policy for Mix-Supervised Segmentation
CVPR 2026
SAMTok: Representing Any Mask with Two Words
CVPR 2026
SANER: Switchable Adapter with Non-parametric Enhanced Routing for Person De-Reidentification
CVPR 2026
SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment
CVPR 2026
SAT-RRG: LLM-Guided Self-Adaptive Training for Radiology Report Generation with Token-Level Push-Pull Optimization
CVPR 2026
Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
CVPR 2026
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
L4DC 2026
Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
CVPR 2026