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)
Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
ICLR 2025
Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling
ACL 2025
Understanding EFX Allocations: Counting and Variants
AAAI 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
AAAI 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
AISTATS 2025
Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes
IJCAI 2025
Understanding Multi-Task Activities from Single-Task Videos
CVPR 2025
Understanding Personal Concept in Open-Vocabulary Semantic Segmentation
ICCV 2025
Understanding Reference Policies in Direct Preference Optimization
NAACL 2025
Understanding the Dark Side of LLMs’ Intrinsic Self-Correction
ACL 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
ACL 2025
Understanding the Influence of Synthetic Data for Text Embedders
ACL 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
EMNLP 2025
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
AISTATS 2025
Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract)
AAAI 2025
Understanding Visual Detail Hallucinations of Large Vision-Language Models
IJCAI 2025
Understand the Implication: Learning to Think for Pragmatic Understanding
ACL 2025
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
AAAI 2025
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
EMNLP 2025
UNEDTeam at SemEval-2025 Task 10: Zero-Shot Narrative Classification
SemEval 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
NAACL 2025
Uniandes at TSAR 2025 Shared Task Multi-Agent CEFR Text Simplification with Automated Quality Assessment and Iterative Refinement
EMNLP 2025
UniBuc-AE at SemEval-2025 Task 7: Training Text Embedding Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval
SemEval 2025