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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'10
'15
'20
'25
Papers (including subtopics)
CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation
WACV 2025
CAMH: Advancing Model Hijacking Attack in Machine Learning
AAAI 2025
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction
AAAI 2025
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
WACV 2025
Can AI Make Us Laugh? Comparing Jokes Generated by Witscript and a Human Expert
COLING 2025
Can a Large Language Model Keep My Secrets? A Study on LLM-Controlled Agents
ACL 2025
Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
ICLR 2025
Can a Neural Model Guide Fieldwork? A Case Study on Morphological Data Collection
COLING 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents?
EMNLP 2025
Can dependency parses facilitate generalization in language models? A case study of cross-lingual relation extraction
NAACL 2025
Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge?
ACL 2025
Can Generative Models Improve Self-Supervised Representation Learning?
AAAI 2025
Can Go AIs Be Adversarially Robust?
AAAI 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL 2025
Can Hallucination Correction Improve Video-Language Alignment?
ACL 2025
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
ICLR 2025
Can Indirect Prompt Injection Attacks Be Detected and Removed?
ACL 2025
Can Language Models Replace Programmers for Coding? REPOCOD Says ‘Not Yet’
ACL 2025
Can Large language model analyze financial statements well?
COLING 2025
Can Large Language Models Act as Ensembler for Multi-GNNs?
EMNLP 2025
Can Large Language Models Classify and Generate Antimicrobial Resistance Genes?
ACL 2025
Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique
EMNLP 2025
Can Large Language Models Personalize Dialogues to Generational Styles?
EMNLP 2025
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?
COLING 2025
Can Large Language Models Tackle Graph Partitioning?
EMNLP 2025