Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Diffusion Noise Optimization for Synthetic VLM Training
WACV 2026
Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection
AAAI 2026
Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering
CVPR 2026
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks
AAAI 2026
Digital Forensic AI You Can Explain: A Case Study on Video Source Camera Identification
WACV 2026
Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset
AAAI 2026
DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects
AAAI 2026
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation
AAAI 2026
Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human–AI Collaboration
AAAI 2026
Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures
COLT 2026
DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning
AAAI 2026
DIN: Dual Impulse Network for Multi-view Representation Learning
AAAI 2026
DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract)
AAAI 2026
DIRECT: Directional Relevance in Conversational Trajectories
EACL 2026
Directed Attention is All You Need: Profiling Style from Limited Text Data
EACL 2026
Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction
AAAI 2026
Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer
AAAI 2026
DiRe: Diversity-promoting Regularization for Dataset Condensation
WACV 2026
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
ACL 2026
DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis
AAAI 2026
DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning
AAAI 2026
DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training
AAAI 2026
Discourses of Prevention: A Multimodal Study of HPV Vaccination Campaigns in Italy
EACL 2026
Discovering Decoupled Functional Modules in Large Language Models
AAAI 2026
Discovering Hybrid World Representations with Co-Evolving Foundation Models
AAAI 2026