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)
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding
IJCAI 2025
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
AAAI 2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
EMNLP 2025
Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask
COLING 2025
Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training
NAACL 2025
Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025
ACL 2025
Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback
COLING 2025
Extraction of Information Provision Activity Requirements from EU Acquis
EMNLP 2025
Extrapolating to Unknown Opinions Using LLMs
COLING 2025
EZSR: Event-based Zero-Shot Recognition
CVPR 2025
EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion
EMNLP 2025
F²Bench: An Open-ended Fairness Evaluation Benchmark for LLMs with Factuality Considerations
EMNLP 2025
F2 (FutureFiction): Detection of Fake News on Futuristic Technology
NAACL 2025
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
EMNLP 2025
Facilitating Cross-lingual Transfer of Empathy through Language-independent Latent Diffusion: A Case Study in Chinese
EMNLP 2025
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models
EMNLP 2025
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
ACL 2025
(Fact) Check Your Bias
ACL 2025
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
CVPR 2025
FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages
SemEval 2025
FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval
NAACL 2025
Factor Augmented Tensor-on-Tensor Neural Networks
AAAI 2025
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
AAAI 2025
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain
EMNLP 2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
ACL 2025