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)
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles
WACV 2025
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
ICML 2025
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
ACL 2025
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
ACL 2025
Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents
EMNLP 2025
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents
ACL 2025
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
AAAI 2025
GUIDEX: Guided Synthetic Data Generation for Zero-Shot Information Extraction
ACL 2025
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
ICCV 2025
Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks?
NAACL 2025
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types
COLING 2025
GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent
ACL 2025
GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
ICCV 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
CVPR 2025
Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection
SemEval 2025
HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring
ACL 2025
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
AISTATS 2025
HAF-RM: A Hybrid Alignment Framework for Reward Model Training
ACL 2025
Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis
IJCAI 2025
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
EMNLP 2025
Hallucination Detection in Structured Query Generation via LLM Self-Debating
EMNLP 2025
Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency
IJCAI 2025
HalluLens: LLM Hallucination Benchmark
ACL 2025
HAMoBE: Hierarchical and Adaptive Mixture of Biometric Experts for Video-based Person ReID
ICCV 2025
Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation
NAACL 2025