Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
CVPR 2025
UIC at ArchEHR-QA 2025: Tri-Step Pipeline for Reliable Grounded Medical Question Answering
ACL 2025
UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
ICCV 2025
UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
ICCV 2025
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
ICCV 2025
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation
EMNLP 2025
UltraIF: Advancing Instruction Following from the Wild
EMNLP 2025
UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning
NAACL 2025
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
CVPR 2025
Unanswerability Evaluation for Retrieval Augmented Generation
ACL 2025
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
ICML 2025
Unbiased Region-Language Alignment for Open-Vocabulary Dense Prediction
ICCV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation
WACV 2025
Uncertainty-Aware Contrastive Decoding
ACL 2025
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
AAAI 2025
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
AAAI 2025
Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning
ACL 2025
Uncertainty-aware Knowledge Tracing
AAAI 2025
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology
WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
WACV 2025
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition
AAAI 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
RSS 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification
WACV 2025
Uncertainty-driven Partial Diacritization for Arabic Text
EMNLP 2025
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation
WACV 2025