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)
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
ACL 2026
FedRAC: Rolling Submodel Allocation for Collaborative Fairness in Federated Learning
CVPR 2026
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
CVPR 2026
FedSDR: Federated Graph Learning with Structural Noise Detection and Reconstruction
CVPR 2026
FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable Switches
NSDI 2026
FER at SemEval-2026 Task 6: Analysis of Different Approaches to Unmasking Political Question Evasions
SemEval 2026
Few-shot Acoustic Synthesis with Multimodal Flow Matching
CVPR 2026
Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments
CVPR 2026
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
CVPR 2026
FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction
AAAI 2026
FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures
CVPR 2026
FIGMA: Towards FIne-Grained Music retrievAl
ACL 2026
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
ACL 2026
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
CVPR 2026
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
CVPR 2026
Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks
CVPR 2026
FineLAP: Taming Heterogeneous Supervision for Fine-grained Language-Audio Pretraining
ACL 2026
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
ACL 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
CVPR 2026
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective
ACL 2026
Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning
CVPR 2026
FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution
CVPR 2026
FireScope: Wildfire Risk Raster Prediction With a Chain-of-Thought Oracle
CVPR 2026
First Frame Is the Place to Go for Video Content Customization
CVPR 2026