IDiyas

For the Inventor, By the Inventor

Mazkeret Batya, Israel

Leonid Karlinsky

USPTO Granted Patents = 16 

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 110(Granted Patents)


Location History:

  • Mazkert Batya, IL (2019)
  • Haifa, IL (2019)
  • Mazkeret Batya, IL (2019 - 2024)

Company Filing History:

goldMedal16 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2019-2025

where 'Filed Patents' based on already Granted Patents

16 patents (USPTO):
1. 12468932 - Automated end-to-end machine learning model optimization (2025-11-11),
2. 12374146 - Detecting graphical elements in charts using predicted heatmaps (2025-07-29),
3. 11954144 - Training visual language grounding models using separation loss (2024-04-09),
4. 11816593 - TAFSSL: task adaptive feature sub-space learning for few-shot learning (2023-11-14),
5. 11620796 - Expert knowledge transfer using egocentric video (2023-04-04),
6. 11481623 - Systems and methods for training a model using a few-shot classification process (2022-10-25),
7. 11475313 - Unsupervised, semi-supervised, and supervised learning using deep learning based probabilistic generative models (2022-10-18),
8. 11263488 - System and method for augmenting few-shot object classification with semantic information from multiple sources (2022-03-01),
9. 11176417 - Method and system for producing digital image features (2021-11-16),
10. 10878297 - System and method for a visual recognition and/or detection of a potentially unbounded set of categories with limited examples per category and restricted query scope (2020-12-29),
11. 10832096 - Representative-based metric learning for classification and few-shot object detection (2020-11-10),
12. 10796203 - Out-of-sample generating few-shot classification networks (2020-10-06),
13. 10467756 - Systems and methods for determining a camera pose of an image (2019-11-05),
14. 10395143 - Systems and methods for identifying a target object in an image (2019-08-27),
15. 10229347 - Systems and methods for identifying a target object in an image (2019-03-12),

Title: The Innovative Mind of Leonid Karlinsky

Introduction

Leonid Karlinsky, a distinguished inventor based in Mazkeret Batya, IL, has made significant contributions to the field of technology through his 14 patents. His work primarily revolves around advancements in machine learning and visual language grounding, showcasing a unique blend of creativity and technical expertise.

Latest Patents

Among his latest innovations are two groundbreaking patents:

1. **Training Visual Language Grounding Models Using Separation Loss**

This invention involves a system where a processor receives a randomly generated alpha-map, a pair of training images, and their corresponding texts. The process includes generating a blended image and training a visual language grounding model to separate it into heatmaps, identifying the relevant portions corresponding to each image. This approach utilizes separation loss, thereby enhancing the efficiency of visual language models.

2. **TAFSSL: Task Adaptive Feature Sub-Space Learning for Few-Shot Learning**

This patent focuses on novel techniques for Task-Adaptive Feature Sub-Space Learning. It outlines a method that trains a machine learning system for feature classification in images, employing a unique process of generating a sample set, performing dimensionality reduction, and using clustering to create class representatives. This innovation is particularly valuable for few-shot learning scenarios, enhancing the system's adaptability and efficiency.

Career Highlights

Leonid Karlinsky is presently employed at International Business Machines Corporation (IBM), where he continues to drive innovation forward. His expertise in machine learning has positioned him as a key player in the development of advanced technological solutions.

Collaborations

Throughout his career, Leonid has collaborated with talented professionals such as Joseph Shtok and Sivan Harary. These partnerships have fostered a dynamic environment for the exploration of new ideas and the development of cutting-edge technologies.

Conclusion

Leonid Karlinsky’s contributions to the world of innovation are noteworthy and cultivate a greater understanding of complex systems in machine learning and visual processing. With his extensive experience and continued dedication to research and development, he represents the forefront of technological advancement in today’s dynamic environment.

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