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)
FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
CVPR 2026
FLOW: Optimal Transport-Driven Feature Warping for Generalized Remote Physiological Measurement
CVPR 2026
FlowPortal: Residual-Corrected Flow for Training-Free Video Relighting and Background Replacement
CVPR 2026
FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories
CVPR 2026
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
MIDL 2026
fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding
CVPR 2026
FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators
WACV 2026
FocalOrder: Focal Preference Optimization for Reading Order Detection
ACL 2026
Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs
ACL 2026
Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
CVPR 2026
FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models
ACL 2026
FoleyDirector: Fine-Grained Temporal Steering for Video-to-Audio Generation via Structured Scripts
CVPR 2026
ForceVLA2: Unleashing Hybrid Force-Position Control with Force Awareness for Contact-Rich Manipulation
CVPR 2026
Forget Less by Learning Together through Concept Consolidation
WACV 2026
Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
ACL 2026
FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation
ACL 2026
For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
ACL 2026
FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model
CVPR 2026
FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation
CVPR 2026
Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding
CVPR 2026
FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution
CVPR 2026
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning
CVPR 2026
FrankenMotion: Part-level Human Motion Generation and Composition
CVPR 2026
FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection
UAI 2026
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs
ACL 2026