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)
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
AAAI 2025
Expanding the Category of Classifiers with LLM Supervision
IJCAI 2025
Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning
AAAI 2025
Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader
EMNLP 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
EMNLP 2025
Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models
EMNLP 2025
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
AAAI 2025
Expected Return Symmetries
ICLR 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
Experimentation under Treatment Dependent Network Interference
UAI 2025
ExpertAF: Expert Actionable Feedback from Video
CVPR 2025
ExpertGenQA: Open-ended QA generation in Specialized Domains
EMNLP 2025
Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge
UAI 2025
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
AAAI 2025
Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild
IJCAI 2025
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
ACL 2025
Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
IJCNLP 2025
Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training
EMNLP 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary
ACL 2025
Explaining Human Preferences via Metrics for Structured 3D Reconstruction
ICCV 2025
Explaining Relationships Among Research Papers
COLING 2025
Explaining the role of Intrinsic Dimensionality in Adversarial Training
ICML 2025
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
ICLR 2025
ExpLay: A new Corpus Resource for the Research on Expertise as an Influential Factor on Language Production
ACL 2025
Explicit and Implicit Data Augmentation for Social Event Detection
ACL 2025