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)
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
CVPR 2025
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
ACL 2025
Enhancing Sequential Recommendation with Global Diffusion
AAAI 2025
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
NAACL 2025
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders
EMNLP 2025
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
EMNLP 2025
Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
EMNLP 2025
Enhancing Talk Moves Analysis in Mathematics Tutoring through Classroom Teaching Discourse
COLING 2025
Enhancing Temporal Understanding in LLMs for Semi-structured Tables
NAACL 2025
Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration
NAACL 2025
Enhancing the Adversarial Robustness via Manifold Projection
AAAI 2025
Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery
ACL 2025
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
ICML 2025
Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction
NAACL 2025
Enhancing Training Data Quality through Influence Scores for Generalizable Classification: A Case Study on Sexism Detection
IJCNLP 2025
Enhancing Transferability of Audio Adversarial Example for Both Frequency- and Time-domain
IJCAI 2025
Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching
ICCV 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
AAAI 2025
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
AAAI 2025
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
ACL 2025
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
CVPR 2025
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
WACV 2025
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
COLING 2025
Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention
ICCV 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025