Google at ACL 2023
Posted by Malaya Jules, Program Manager, Google This week, the 61st annual meeting of the Association for Computational Linguistics (ACL), a premier conference covering a broad spectrum of research areas...
Modular visual question answering via code generation
Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model...
Pic2Word: Mapping pictures to words for zero-shot composed image retrieval
Posted by Kuniaki Saito, Student Researcher, Google Research, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Google Research Image retrieval plays a crucial role in search engines. Typically, their users...
On-device diffusion plugins for conditioned text-to-image generation
Posted by Yang Zhao and Tingbo Hou, Software Engineers, Core ML In recent years, diffusion models have shown great success in text-to-image generation, achieving high image quality, improved inference performance,...
Announcing the first Machine Unlearning Challenge
Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive...
Unifying image-caption and image-classification datasets with prefix conditioning
Posted by Kuniaki Saito, Student Researcher, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Perception Team Pre-training visual language (VL) models on web-scale image-caption datasets has recently emerged as a...
Preference learning with automated feedback for cache eviction
Posted by Ramki Gummadi, Software Engineer, Google and Kevin Chen, Software Engineer, YouTube Caching is a ubiquitous idea in computer science that significantly improves the performance of storage and retrieval...
SoundStorm: Efficient parallel audio generation
Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in...
Responsible AI at Google Research: AI for Social Good
Posted by Jimmy Tobin and Katrin Tomanek, Software Engineers, Google Research, AI for Social Good Google’s AI for Social Good team consists of researchers, engineers, volunteers, and others with a...
