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)
Arbitrary-steps Image Super-resolution via Diffusion Inversion
CVPR 2025
ARC ‘Challenge’ Is Not That Challenging
ACL 2025
Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?
ACL 2025
ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry
ACL 2025
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
AAAI 2025
Arctic-TILT. Business Document Understanding at Sub-Billion Scale
ACL 2025
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
WACV 2025
A Reality Check on Context Utilisation for Retrieval-Augmented Generation
ACL 2025
A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning
WACV 2025
A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
EMNLP 2025
Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
EMNLP 2025
Are Bias Evaluation Methods Biased ?
ACL 2025
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
EMNLP 2025
A Recipe For Building a Compliant Real Estate Chatbot
COLING 2025
Are Exemplar-Based Class Incremental Learning Models Victim of Black-Box Poison Attacks?
WACV 2025
Are Expressive Models Truly Necessary for Offline RL?
AAAI 2025
A REGNLP Framework: Developing Retrieval-Augmented Generation for Regulatory Document Analysis
COLING 2025
A Regularization-Guided Equivariant Approach for Image Restoration
CVPR 2025
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
CVPR 2025
A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment
ACL 2025
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
NAACL 2025
Are Language Models Consequentialist or Deontological Moral Reasoners?
EMNLP 2025
Are Large Language Models Chronically Online Surfers? A Dataset for Chinese Internet Meme Explanation
EMNLP 2025
Are Large Language Models for Education Reliable Across Languages?
ACL 2025
Are Larger Language Models Better at Disambiguation?
NAACL 2025