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)
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
AAAI 2025
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
SemEval 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
CVPR 2025
Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks
L4DC 2025
Fast Convergence of Softmax Policy Mirror Ascent
AISTATS 2025
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
ICLR 2025
FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation
Interspeech 2025
Fast forward: Rephrasing 3D deformable image registration through density alignment and splatting
MIDL 2025
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
AAAI 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling
ICCV 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
AAAI 2025
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
AAAI 2025
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing
WACV 2025
Fathom: A Fast and Modular RAG Pipeline for Fact-Checking
ACL 2025
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning
ACL 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
WACV 2025
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
ACL 2025
Feature Augmentation Based Test-Time Adaptation
WACV 2025
Feature Design for Bridging SAM and CLIP toward Referring Image Segmentation
WACV 2025
Feature Extraction and Representation of Pre-training Point Cloud Based on Diffusion Models
ICCV 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
WACV 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
AAAI 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning
CVPR 2025