mlsanityData to 14 Oct 2026

NSML: Meet the MLaaS platform with a real-world case study

arXiv 1810.09957 ↗First posted 8 Oct 2018cs.DC cs.LG stat.MLcited by 70

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Abstract (arXiv)

The boom of deep learning induced many industries and academies to introduce machine learning based approaches into their concern, competitively. However, existing machine learning frameworks are limited to sufficiently fulfill the collaboration and management for both data and models. We proposed NSML, a machine learning as a service (MLaaS) platform, to meet these demands. NSML helps machine learning work be easily launched on a NSML cluster and provides a collaborative environment which can afford development at enterprise scale. Finally, NSML users can deploy their own commercial services with NSML cluster. In addition, NSML furnishes convenient visualization tools which assist the users in analyzing their work. To verify the usefulness and accessibility of NSML, we performed some experiments with common examples. Furthermore, we examined the collaborative advantages of NSML through three competitions with real-world use cases.

Key facts. Cited by 70 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Oct 2018.

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Citing papers per year: 2021: 28; 2022: 13; 2023: 12; 2024: 11; 2025: 6.

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  1. 2021SWAD: Domain Generalization by Seeking Flat Minimacited by 434
  2. 2021Rethinking Spatial Dimensions of Vision Transformerscited by 361
  3. 2021Rainbow Memory: Continual Learning with a Memory of Diverse Samplescited by 273
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  10. 2023Probabilistic Concept Bottleneck Modelscited by 101
  11. 2021The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classificationcited by 100
  12. 2023What Do Self-Supervised Vision Transformers Learn?cited by 93
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  1. 2021Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editingcited by 91
  2. 2021SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learningcited by 71
  3. 2021Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inferencecited by 67
  4. 2022Keep Me Updated! Memory Management in Long-term Conversationscited by 63
  5. 2024Visual Style Prompting with Swapping Self-Attentioncited by 63
  6. 2021Joint Global and Local Hierarchical Priors for Learned Image Compressioncited by 54
  7. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  8. 2021ViDT: An Efficient and Effective Fully Transformer-based Object Detectorcited by 46
  9. 2023Improved Probabilistic Image-Text Representationscited by 40
  10. 2021SSMix: Saliency-Based Span Mixup for Text Classificationcited by 39
  11. 2022Mutual Information Divergence: A Unified Metric for Multimodal Generative Modelscited by 35
  12. 2022Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundariescited by 31
  13. 2024Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splattingcited by 30
  14. 2023Imaginary Voice: Face-styled Diffusion Model for Text-to-Speechcited by 27
  15. 2021Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinementcited by 26
  16. 2021Scaling Law for Recommendation Models: Towards General-purpose User Representationscited by 26
  17. 2022Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Modelscited by 26
  18. 2022Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learningcited by 25
  19. 2024Noise Map Guidance: Inversion with Spatial Context for Real Image Editingcited by 25
  20. 2024Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Modelscited by 24
  21. 2021Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understandingcited by 22
  22. 2023Robust Camera Pose Refinement for Multi-Resolution Hash Encodingcited by 21
  23. 2022Saving Dense Retriever from Shortcut Dependency in Conversational Searchcited by 19
  24. 2025A Survey on Model Extraction Attacks and Defenses for Large Language Modelscited by 19
  25. 2021NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulationcited by 16
  26. 2021Keep CALM and Improve Visual Feature Attributioncited by 15
  27. 2024One-Shot Structure-Aware Stylized Image Synthesiscited by 14
  28. 20233D-aware Blending with Generative NeRFscited by 13
  29. 2021Reward Optimization for Neural Machine Translation with Learned Metricscited by 12
  30. 2021Response Generation with Context-Aware Prompt Learningcited by 12
  31. 2023Decomposed Cross-modal Distillation for RGB-based Temporal Action Detectioncited by 12
  32. 2021Feature Statistics Mixing Regularization for Generative Adversarial Networkscited by 9
  33. 2021Contrastive Fine-grained Class Clustering via Generative Adversarial Networkscited by 9
  34. 2024Leveraging Temporal Contextualization for Video Action Recognitioncited by 9
  35. 2025MISLEADER: Defending against Model Extraction with Ensembles of Distilled Modelscited by 8
  36. 2022Generator Knows What Discriminator Should Learn in Unconditional GANscited by 7
  37. 2023BallGAN: 3D-aware Image Synthesis with a Spherical Backgroundcited by 7
  38. 2024Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesiscited by 7

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