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
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'25
Papers (including subtopics)
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
ICLR 2025
Oscillation-Reduced MXFP4 Training for Vision Transformers
ICML 2025
Oscillatory State-Space Models
ICLR 2025
OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions
SemEval 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
OSINT at GenAI Detection Task 1: Multilingual MGT Detection: Leveraging Cross-Lingual Adaptation for Robust LLMs Text Identification
COLING 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
CVPR 2025
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
ICLR 2025
OTCXR: Rethinking Self-Supervised Alignment using Optimal Transport for Chest X-ray Analysis
WACV 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
IJCAI 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
AAAI 2025
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
AAAI 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
CVPR 2025
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer
AAAI 2025
OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation
WACV 2025
OUNLP at TSAR 2025 Shared Task Multi-Round Text Simplifier via Code Generation
EMNLP 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba
ICCV 2025
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
ICML 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution
ICCV 2025
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
ICML 2025
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
JMLR 2025
Outlier-Robust Linear System Identification Under Heavy-Tailed Noise
L4DC 2025
Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models
ACL 2025
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
ICLR 2025
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
ACL 2025