Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...
Abstract: This paper evaluates the efficacy and usage of a proposed model built on the encoder-decoder Transformer for the purposes of modeling harmonic progressions rooted in the Western tonality ...
Join Josh and Ollie as they introduce a hilarious range of internet slang to Ollie's dad, who has never heard these modern words before! From Netflix and Chill to Clout and Chonk, watch as he tries to ...
Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
The encoder employs a DenseNet-B (bottleneck) architecture with three dense blocks separated by transition layers. Each bottleneck layer consists of a 1x1 convolution (expanding to 4x growth rate) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results