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)
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
AAAI 2025
EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model
ACL 2025
Early Concept Drift Detection via Prediction Uncertainty
AAAI 2025
Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing
ICCV 2025
EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
CVPR 2025
Easy as PIE? Identifying Multi-Word Expressions with LLMs
EMNLP 2025
EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting
CVPR 2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
EMNLP 2025
EasyJon at TSAR 2025 Shared Task Evaluation of Automated Text Simplification with LLM-as-a-Judge
EMNLP 2025
EasyRec: Simple yet Effective Language Models for Recommendation
EMNLP 2025
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
AAAI 2025
ECC: An Emotion-Cause Conversation Dataset for Empathy Response
EMNLP 2025
EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow
ICCV 2025
ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers
IJCAI 2025
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
CVPR 2025
ECoRAG: Evidentiality-guided Compression for Long Context RAG
ACL 2025
EDAR: A pipeline for Emotion and Dialogue Act Recognition
COLING 2025
EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
ICCV 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
AAAI 2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
IJCAI 2025
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation
ICLR 2025
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
AAAI 2025
Edicho: Consistent Image Editing in the Wild
ICCV 2025
EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing
EMNLP 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
CVPR 2025