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)
LOHRec: Leveraging Order and Hierarchy in Generative Sequential Recommendation
EMNLP 2025
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models
CVPR 2025
LONG3R: Long Sequence Streaming 3D Reconstruction
ICCV 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition
EMNLP 2025
Long-context Reference-based MT Quality Estimation
EMNLP 2025
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating
ACL 2025
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information
ACL 2025
Long-form Hallucination Detection with Self-elicitation
ACL 2025
Long-Form Information Alignment Evaluation Beyond Atomic Facts
EMNLP 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
ACL 2025
Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
ICLR 2025
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
EMNLP 2025
Long-Tail Crisis in Nearest Neighbor Language Models
NAACL 2025
Long-tailed Adversarial Training with Self-Distillation
ICLR 2025
Long-Tailed Classification with Multi-Granularity Semantics
ICCV 2025
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
AAAI 2025
LongTail-Swap: benchmarking language models’ abilities on rare words
EMNLP 2025
Long-Term Ad Memorability: Understanding & Generating Memorable Ads
WACV 2025
LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
EMNLP 2025
Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models
EMNLP 2025
LookAlike: Consistent Distractor Generation in Math MCQs
ACL 2025
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support
EMNLP 2025
Looking at Model Debiasing through the Lens of Anomaly Detection
WACV 2025
Looking at the Unseen: Effective Sampling of Non-Related Propositions for Argument Mining
COLING 2025
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
ICLR 2025