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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'25
Papers (including subtopics)
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
IJCAI 2025
Uncertainty-Guided Metric Learning without Labels
WACV 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
CVPR 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets
ICLR 2025
Uncertainty in Semantic Language Modeling with PIXELS
EMNLP 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
EMNLP 2025
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
CVPR 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
NAACL 2025
Uncertainty Quantification for Large Language Models
ACL 2025
UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation
EMNLP 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
WACV 2025
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER
EMNLP 2025
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
NAACL 2025
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
AAAI 2025
Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL
ACL 2025
Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space
ACL 2025
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space
IJCAI 2025
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
IJCNLP 2025
Understanding and Enhancing the Transferability of Jailbreaking Attacks
ICLR 2025
Understanding and Improving Information Preservation in Prompt Compression for LLMs
EMNLP 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
EMNLP 2025
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
EMNLP 2025
Understanding Annotator Perception: Modeling Psychological Inference from First- and Third-Person Annotations (Student Abstract)
AAAI 2025