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
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'20
'25
Papers (including subtopics)
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
CVPR 2025
UnitCoder: Scalable Code Synthesis from Pre-training Corpora
EMNLP 2025
UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion
WACV 2025
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
AAAI 2025
UnityAI Guard: Pioneering Toxicity Detection Across Low-Resource Indian Languages
EMNLP 2025
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
CVPR 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
EMNLP 2025
Universal Domain Adaptation for Semantic Segmentation
CVPR 2025
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
AAAI 2025
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation
AAAI 2025
Universal Graph Self-Contrastive Learning
IJCAI 2025
Universal Image Restoration Pre-training via Degradation Classification
ICLR 2025
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
AAAI 2025
Universal Scene Graph Generation
CVPR 2025
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
ICCV 2025
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
ICCV 2025
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
ICLR 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models
NAACL 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
AAAI 2025
Unlearning the Noisy Correspondence Makes CLIP More Robust
ICCV 2025
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
CVPR 2025
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
ACL 2025
Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection
WACV 2025