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)
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
AAAI 2025
Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach
CVPR 2025
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
SemEval 2025
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2025
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
CVPR 2025
UPP: Unified Point-Level Prompting for Robust Point Cloud Analysis
ICCV 2025
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
ICML 2025
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image Restoration
CVPR 2025
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
AAAI 2025
Using Humor to Bypass Safety Guardrails in Large Language Models
ACL 2025
Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection
ACL 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
ICCV 2025
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
EMNLP 2025
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
AAAI 2025
Utilizing Vision-Language Models for Detection of Leaf-Based Diseases in Tomatoes
AAAI 2025
UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging
SemEval 2025
UvA-MT’s Participation in the WMT25 General Translation Shared Task
EMNLP 2025
V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
ICCV 2025
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy
CVPR 2025
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention
AAAI 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
UAI 2025
Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
ACL 2025
VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
ACL 2025
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval
AAAI 2025