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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'25
Papers (including subtopics)
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
EMNLP 2025
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
EMNLP 2025
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
ICLR 2025
Rethinking Long Context Generation from the Continual Learning Perspective
COLING 2025
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
AAAI 2025
Rethinking Multiple-Instance Learning From Feature Space to Probability Space
ICLR 2025
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment
CVPR 2025
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
CVPR 2025
Rethinking Prompt-based Debiasing in Large Language Model
ACL 2025
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
AAAI 2025
Rethinking Query-based Transformer for Continual Image Segmentation
CVPR 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
ACL 2025
Rethinking Scene Segmentation. Advancing Automated Detection of Scene Changes in Literary Texts
NAACL 2025
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
ICLR 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
EMNLP 2025
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
CVPR 2025
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
ICLR 2025
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
ACL 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
CVPR 2025
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
AAAI 2025
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
CVPR 2025
Rethinking what matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
IJCNLP 2025
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
EMNLP 2025
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
AAAI 2025