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)
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval
WACV 2025
ForgDiffuser: General Image Forgery Localization with Diffusion Models
IJCAI 2025
FORTIFY: Generative Model Fine-tuning with ORPO for ReTrieval Expansion of InFormal NoisY Text
ACL 2025
Forward Knows Efficient Backward Path: Saliency-Guided Memory-Efficient Fine-tuning of Large Language Models
ACL 2025
Foundation Model Ensemble for Out-of-Distribution Generalization: Predicting Lymph Node Metastasis in Early Gastric Cancer Using Whole-Slide Imaging
MIDL 2025
Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation
Interspeech 2025
FoundationStereo: Zero-Shot Stereo Matching
CVPR 2025
Foundation X: Integrating Classification Localization and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis
WACV 2025
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
AAAI 2025
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization
AAAI 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels
ACL 2025
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
ACL 2025
FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video
CVPR 2025
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
AAAI 2025
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
CVPR 2025
Framing the Language: Fine-Tuning Gemma 3 for Manipulation Detection
ACL 2025
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
ACL 2025
Fraunhofer SIT at GenAI Detection Task 1: Adapter Fusion for AI-generated Text Detection
COLING 2025
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
AAAI 2025
FREE: Fast and Robust Vision Language Models with Early Exits
ACL 2025
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
IJCAI 2025
Free Lunch Enhancements for Multi-modal Crowd Counting
CVPR 2025
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
AAAI 2025
Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM
CVPR 2025
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing
CVPR 2025