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
'5
'10
'15
'20
'25
Papers (including subtopics)
Differentiable Rule Induction from Raw Sequence Inputs
ICLR 2025
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
ICCV 2025
Differentially Private Continual Release of Histograms and Related Queries
AISTATS 2025
Differentially Private Kernelized Contextual Bandits
AISTATS 2025
Differentially private optimization for non-decomposable objective functions
ICLR 2025
Differentially Private Prototypes for Imbalanced Transfer Learning
AAAI 2025
Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph
EMNLP 2025
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
AAAI 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
ICLR 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
AAAI 2025
Difficulty Diversity and Plausibility: Dynamic Data-Free Quantization
WACV 2025
Difficulty Estimation in Natural Language Tasks with Action Scores
NAACL 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination
WACV 2025
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
ICLR 2025
DiffSQL: Leveraging Diffusion Model for Zero-Shot Self-Supervised Monocular Depth Estimation
IJCAI 2025
DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes
ICCV 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
ACL 2025
Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection
IJCAI 2025
Diffusion Adversarial Post-Training for One-Step Video Generation
ICML 2025
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
EMNLP 2025
Diffusion-Based Active Learning for Distributed Client Manifolds
AAAI 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
ICML 2025
Diffusion-Based Generative Regularization for Supervised Discriminative Learning
WACV 2025
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
AAAI 2025
Diffusion-Based Visual Anagram as Multi-Task Learning
WACV 2025