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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Papers (including subtopics)
OG-RAG: Ontology-grounded retrieval-augmented generation for large language models
EMNLP 2025
OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising
COLING 2025
OldJoe at AVeriTeC: In-context learning for fact-checking
ACL 2025
OLMES: A Standard for Language Model Evaluations
NAACL 2025
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
ICCV 2025
o-MEGA: Optimized Methods for Explanation Generation and Analysis
EMNLP 2025
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval
ACL 2025
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
ACL 2025
Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
ICML 2025
Omni-Chart-600K: A Comprehensive Dataset of Chart Types for Chart Understanding
NAACL 2025
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
EMNLP 2025
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
AAAI 2025
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
NAACL 2025
On Collaborating Small and Large Models For Few-shot Intent Detection
EMNLP 2025
On Constant Regret for Low-Rank MDPs
UAI 2025
On Continuous Monitoring of Risk Violations under Unknown Shift
UAI 2025
On Crowdsourcing Task Design for Discourse Relation Annotation
COLING 2025
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
CVPR 2025
On-device System of Compositional Multi-tasking in Large Language Models
EMNLP 2025
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
ICLR 2025
One_by_zero@DravidianLangTech 2025: Fake News Detection in Malayalam Language Leveraging Transformer-based Approach
NAACL 2025
One_by_zero@ NLU of Devanagari Script Languages 2025: Target Identification for Hate Speech Leveraging Transformer-based Approach
COLING 2025
One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue
ACL 2025
One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
ICLR 2025
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
ACL 2025