Deepak Pai

CONTENT GENERATION AND PRESENTATION USING ON-DEVICE SUBSCRIPTION DATA

CUSTOM DIGITAL CONTENT GENERATION USING ON-DEVICE CONTEXTUAL DATA

EVENT-DRIVEN ARTIFICIAL INTELLIGENCE CONTENT GENERATION

IDENTIFYING RELEVANT DATA USING DATA EMBEDDINGS

IDENTIFYING RELEVANT DATA USING HIERARCHICAL KNOWLEDGE GRAPHS

TRANSCREATION OF TEXTUAL CONTENT USING A LANGUAGE MODEL

GENERATIVE MODEL-ASSISTED CONTENT GENERATION AND INTERACTIVE CONTENT EDITING

TIME SERIES OF SKETCHES FOR APPROXIMATE QUERY PROCESSING

MASK CONDITIONED IMAGE TRANSFORMATION BASED ON A TEXT PROMPT

USING SHAPLEY VALUES TO EVALUATE PROMPT GENERATION PARAMETERS

GENERATING DIGITAL CONTENT CONSISTENT WITH CONTEXT-SPECIFIC GUIDELINES UTILIZING PROMPT AUGMENTATION AND MODEL TUNING

PROMPT-BASED IMAGE RELIGHTING AND EDITING

MACHINE LEARNING SYSTEMS AND TECHNIQUES FOR AUDIENCE-TARGETED CONTENT GENERATION

TIME SERIES OF SKETCHES FOR APPROXIMATE QUERY PROCESSING

MODEL-AGNOSTIC MULTI-FACTOR METRIC DRIFT ATTRIBUTION

MASK CONDITIONED IMAGE TRANSFORMATION BASED ON A TEXT PROMPT

GENERATING IMAGE METADATA USING A COMPACT COLOR SPACE

CUSTOM CONTENT GENERATION

DETERMINING USER AFFINITIES FOR CONTENT GENERATION APPLICATIONS

REDUCING BIAS IN MACHINE LEARNING MODELS UTILIZING A FAIRNESS DEVIATION CONSTRAINT AND DECISION MATRIX

Generating weighted contextual themes to guide unsupervised keyphrase relevance models

Determining user affinities for content generation applications

Quantifying and improving the performance of computation-based classifiers