Sunnyvale, California
United States
144
2026-03-12
The entities that hold a legal rights for patent applications filed by inventor Kenthapadi Krishnaram:
Krishnaram Kenthapadi from Sunnyvale, US has applied for patents for these inventions. The list has both pending applications and granted patents:
Auditing Large Language Model-Based Tools for Bias and Stereotypes
#2 | 2025-07-22Automatic failure diagnosis and correction in machine learning models
#3 | 2024-09-19APPARATUS AND METHODS TO PROVIDE INFORMATION SECURITY FOR A MACHINE LEANRING (ML) MODEL BY GENERATING AN EXPLANATION FOR THE ML MODEL WITHOUT ACCESSING THE ML MODEL
#4 | 2024-09-03Performing explanation jobs for computer vision tasks
#5 | 2024-07-11GLOBAL EXPLANATIONS OF MACHINE LEARNING MODEL PREDICTIONS FOR INPUT CONTAINING TEXT ATTRIBUTES
#6 | 2024-05-07Global explanations of machine learning model predictions for input containing text attributes
#7 | 2023-12-12Generating relaxed synthetic data using adaptive projection
#8 | 2023-12-05System and method for data drift detection to improve data integrity for data within a database
#9 | 2022-11-01Generating relaxed synthetic data using adaptive projection
#10 | 2022-10-25Hyperparameter optimization using fairness constraints
#11 | 2022-06-02CAPTURING FEATURE ATTRIBUTION IN MACHINE LEARNING PIPELINES
#12 | 2022-06-02STAGED BIAS MEASUREMENTS IN MACHINE LEARNING PIPELINES
#13 | 2022-06-02MONITORING BIAS METRICS AND FEATURE ATTRIBUTION FOR TRAINED MACHINE LEARNING MODELS
#14 | 2022-06-02GENERATING VIEWS FOR BIAS METRICS AND FEATURE ATTRIBUTION CAPTURED IN MACHINE LEARNING PIPELINES
#15 | 2021-11-30Machine learning technique for recommendation of courses in a social networking service based on confidential data
#16 | 2021-05-20CANDIDATE TEAM RECOMMENDATIONS
#17 | 2021-05-13FEEDBACK-BASED UPDATE OF CANDIDATE RECOMMENDATIONS
#18 | 2021-05-13DETECTING ANOMALOUS CANDIDATE RECOMMENDATIONS
#19 | 2020-12-24MULTI-OBJECTIVE OPTIMIZATION OF JOB APPLICATIONS REDISTRIBUTION
#20 | 2020-11-26MULTI-LEVEL RANKING FOR MITIGATING MACHINE LEARNING MODEL BIAS
#21 | 2020-11-26ACHIEVING FAIRNESS ACROSS MULTIPLE ATTRIBUTES IN RANKINGS
#22 | 2020-11-26QUANTIFYING BIAS IN MACHINE LEARNING MODELS
#23 | 2020-08-04Mapped dataset error tolerance
#24 | 2020-07-14Ensuring consistency between confidential data value types
#25 | 2020-06-09Filtering mapped datasets
#26 | 2020-02-11Machine learning model for estimating confidential information response
#27 | 2020-02-04Computing smoothed posterior distribution of confidential data
#28 | 2020-01-14Machine learning technique for recommendation of skills in a social networking service based on confidential data
#29 | 2020-01-02Unsupervised learning of entity representations using graphs
#30 | 2020-01-02APPLYING LEARNING-TO-RANK FOR SEARCH
#31 | 2020-01-02GENERATING SUPERVISED EMBEDDINGS USING UNSUPERVISED EMBEDDINGS
#32 | 2020-01-02GENERATING SUPERVISED EMBEDDING REPRESENTATIONS FOR SEARCH
#33 | 2020-01-02Techniques for querying user profiles using neural networks
#34 | 2019-12-24Machine learning algorithm for user engagement based on confidential data statistical information
#35 | 2019-11-19Tracking submission of confidential data in a computer system
#36 | 2019-11-12Filtering mapped datasets
#37 | 2019-10-01Strategy for collection flow and seeding across cohorts
#38 | 2019-10-01Strategy for collection flow and seeding within a cohort
#39 | 2019-07-23Preventing timestamp-based inference attacks
#40 | 2019-06-11Dynamic hierarchical generalization of confidential data in a computer system
#41 | 2019-04-30Combining the smoothed posterior distribution with empirical distribution for cohorts with small sample size
#42 | 2019-04-23Anonymizing and grouping confidential data from members
#43 | 2019-04-16Computerized matrix factorization and completion to infer median/mean confidential values
#44 | 2019-04-16Generating an association between confidential data and member attributes
#45 | 2019-03-26Preventing inference attacks by joining on confidential data value
#46 | 2019-03-14RANDOM NOISE BASED PRIVACY MECHANISM
#47 | 2019-02-28PROTECTING AGAINST SPAM AND OVER-REPRESENTATION IN SUBMISSION OF CONFIDENTIAL DATA
#48 | 2019-02-28ACCURACY OF MEMBER PROFILE RETRIEVAL USING A UNIVERSAL CONCEPT GRAPH
#49 | 2019-02-28Collection flow for confidential data
#50 | 2019-02-28ACCURACY OF JOB RETRIEVAL USING A UNIVERSAL CONCEPT GRAPH
#51 | 2019-02-26Computation of similar titles based on position transition data in a social networking service
#52 | 2019-02-19Computation of similar locations based on position transition data in a social networking service
#53 | 2019-01-29Computation of peer company groups based on position transition data in a social networking service
#54 | 2018-12-18Protecting against spam and over-representation in submission of confidential data
#55 | 2018-12-18Collection flow for confidential data
#56 | 2018-11-22OFFLINE COMPUTATION OF PARTIAL JOB RECOMMENDATION SCORES
#57 | 2018-11-22RUNTIME EVALUATION OF THE OFFLINE-GENERATED RESULTS
#58 | 2018-11-22HYBRID OFFLINE/ONLINE GENERATION OF JOB RECOMMENDATIONS
#59 | 2018-11-01MULTINODAL JOB-SEARCH CONTROL SYSTEM
#60 | 2018-10-25JOINT ASSIGNMENT OF MEMBER PROFILES TO JOB POSTINGS
#61 | 2018-10-25JOINT ASSIGNMENT OF JOB RECOMMENDATIONS TO MEMBERS
#62 | 2018-10-25JOINT OPTIMIZATION AND ASSIGNMENT OF JOB RECOMMENDATIONS
#63 | 2018-10-25JOINT OPTIMIZATION AND ASSIGNMENT OF MEMBER PROFILES
#64 | 2018-10-04SEARCH BASED ON INTERACTIONS OF SOCIAL CONNECTIONS WITH COMPANIES OFFERING JOBS
#65 | 2018-10-04Ranking job offerings based on growth potential within a company
#66 | 2018-10-04RANKING JOB OFFERINGS BASED ON CONNECTION MESH STRENGTH
#67 | 2018-09-18Graph-based inference of confidential data insights
#68 | 2018-09-06GENERATING JOB RECOMMENDATIONS USING CO-VIEWERSHIP SIGNALS
#69 | 2018-09-06GENERATING JOB RECOMMENDATIONS USING JOB POSTING SIMILARITY
#70 | 2018-09-06GENERATING JOB RECOMMENDATIONS USING MEMBER PROFILE SIMILARITY
#71 | 2018-09-06JOB APPLICATION REDISTRIBUTION
#72 | 2018-08-28Computing confidential data insight histograms and combining with smoothed posterior distribution based histograms
#73 | 2018-08-23Job posting data search based on intercompany worker migration
#74 | 2018-08-16Efficient recommendation services
#75 | 2018-08-16Member clustering with equi-sized partitions
#76 | 2018-08-09JOB SEARCH BASED ON RELATIONSHIP OF MEMBER TO COMPANY POSTING JOB
#77 | 2018-08-09FINDING VIRTUAL TEAMS WITHIN A COMPANY ACCORDING TO ORGANIZATIONAL HIERARCHY
#78 | 2018-08-07Protecting against fraud and incorrect entries in submission of confidential data
#79 | 2018-08-07Security for confidential data
#80 | 2018-08-02JOB OFFERINGS BASED ON COMPANY-EMPLOYEE RELATIONSHIPS
#81 | 2018-08-02JOB SEARCH WITH CATEGORIZED RESULTS
#82 | 2018-08-02Job search with categorized results
#83 | 2018-07-31Identifying cohorts with anomalous confidential data submissions using matrix factorization and completion techniques
#84 | 2018-07-05FINDING A VIRTUAL TEAM WITHIN A COMPANY FOR A JOB POSTING
#85 | 2018-06-21FINDING VIRTUAL TEAMS WITH MEMBERS THAT MATCH A USER'S PROFESSIONAL SKILLS
#86 | 2018-06-21JOB SEARCH BASED ON THE STRENGTH OF VIRTUAL TEAMS AT THE COMPANIES OFFERING THE JOBS
#87 | 2018-06-21Job search based on member transitions from educational institution to company
#88 | 2018-05-31INTERACTION BASED MACHINE LEARNED VECTOR MODELLING
#89 | 2018-05-31MACHINE LEARNED VECTOR MODELLING FOR RECOMMENDATION GENERATION
#90 | 2018-05-24CONTEXTUAL RECOMMENDATION FOR AN ELECTRONIC PRESENTATION
#91 | 2018-05-24CONTEXTUAL RECOMMENDATION OF CONNECTED MEMBER PROFILES
#92 | 2018-05-24PERSONALIZED CONTEXTUAL RECOMMENDATION OF MEMBER PROFILES
#93 | 2018-05-24CONTEXTUAL RECOMMENDATION OF MEMBER PROFILES
#94 | 2018-05-17CONTEXTUAL PERSONALIZED LIST OF RECOMMENDED COURSES
#95 | 2018-05-17CONTEXTUAL PERSONALIZED LIST OF RECOMMENDED COURSES
#96 | 2018-05-17CONTEXTUAL PERSONALIZED LIST OF RECOMMENDED COURSES
#97 | 2018-03-29SKILL-BASED RANKING OF ELECTRONIC COURSES
#98 | 2018-03-29SKILLS DETECTOR SYSTEM
#99 | 2018-03-29Outlier detection based on distribution fitness
#100 | 2018-03-29Internal dataset-based outlier detection for confidential data in a computer system
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