Inventor

USZKOREIT JAKOB D

US53 patents

⚠️ This page may combine multiple inventors who share the name “USZKOREIT JAKOB D”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

USZKOREIT JAKOB D

GOOGLE LLC

Attention-based sequence transduction neural networks

Multi-task multi-modal machine learning system

Attention-based sequence transduction neural networks

Attention-based sequence transduction neural networks

Attention-based image generation neural networks

Universal transformers

Query composition system

Query composition system

Query composition system

Multi-task multi-modal machine learning system

Attention-based image generation neural networks

Attention-based sequence transduction neural networks

Inducing command inputs from high precision and high recall data

Universal transformers

Generating neural network outputs using insertion commands

Processing images using self-attention based neural networks

Processing images using self-attention based neural networks

Query composition system

Attention-based image generation neural networks

Query composition system

Attention-based image generation neural networks

Universal transformers

Attention-based sequence transduction neural networks

Attention-based sequence transduction neural networks

Parallel decoding using transformer models

Generating neural network outputs using insertion operations

Generating neural network outputs using insertion operations

Generating neural network outputs using insertion operations

Generating neural network outputs using insertion commands

Evaluating semantic interpretations of a search query

Parallel decoding using autoregressive machine learning models

Fast decoding in sequence models using discrete latent variables

Evaluating semantic interpretations of a search query

GOOGLE INC

Learning parsing rules and argument identification from crowdsourcing of proposed command inputs

Learning parsing rules and argument identification from crowdsourcing of proposed command inputs

Learning parsing rules and argument identification from crowdsourcing of proposed command inputs

Corpus specific queries for corpora from search query

Parsing annotator framework from external services

Identifying underserved command inputs

Parsing rule generalization by n-gram span clustering

Lattice semantic parsing

Exceptions to action invocation from parsing rules

Inducing command inputs from property sequences

Parsing rule augmentation based on query sequence and action co-occurrence

Parsing rule generalization by N-gram span clustering

Grammar extraction using anchor text

Identifying underserved command inputs

Identifying underserved command inputs

Inducing command inputs from property sequences

Exceptions to action invocation from parsing rules