1 citations · 1 across the 3 of their papers we have counts for
4 papers
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Anton Voronov, Mikhail Khoroshikh, Artem Babenko +1
Text-to-image generation models represent the next step of evolution in image synthesis, offering a natural way to achieve flexible yet fine-grained control over the result. One em…
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté +9
The adoption of pre-trained language models to generate action plans for embodied agents is a promising research strategy. However, execution of instructions in real or simulated e…
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture
Daria Bakshandaeva, Denis Dimitrov, Vladimir Arkhipkin +8
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called Fusion Brain, the first competition which is targeted to make the universal archit…
Text Detoxification using Large Pre-trained Neural Models
David Dale, Anton Voronov, Daryna Dementieva +4
We present two novel unsupervised methods for eliminating toxicity in text. Our first method combines two recent ideas: (1) guidance of the generation process with small style-cond…