The study focuses on generating images from EEG signals using a deep learning framework. The objective is to recreate images that subjects view using EEG recordings. This is achieved using…
Continue readingThe study aimed to identify machine learning models that could efficiently categorize tweets concerning eating disorders. Over a million tweets were collected over three months and classified using both traditional…
Continue readingThe study proposes Kernel-Eigen Pair Sparse Variational Gaussian Processes (KEP-SVGP) for building uncertainty-aware self-attention in transformers. The asymmetry of attention kernels is addressed using Kernel SVD (KSVD), yielding reduced complexity….
Continue readingThis article discusses a novel model, T5VQVAE, which improves semantic control and generation in Transformer-based Variational AutoEncoders (VAEs). By leveraging the controllability of VQVAEs, T5VQVAE guides the self-attention mechanism in…
Continue readingThis research focuses on overcoming the language barriers in recommendation systems by using Transformer Leveraged Document Representations (TLDRs) to represent documents across languages. The team evaluated four multilingual pre-trained transformer…
Continue readingTinyLlama, a compact 1.1B language model pretrained on around 1 trillion tokens for roughly 3 epochs, shows remarkable performance in various downstream tasks. Despite its small size, it outperforms other…
Continue readingThe article presents BEAST (BEA t tracking Streaming Transformer), a system for online beat and downbeat tracking. The system, which is based on the streaming Transformer, is designed to handle…
Continue readingThe article presents GEMFormer, a two-stage method that improves the performance of multi-hop question answering (MHQA) tasks. MHQA involves processing a long document and reasoning over its multiple parts. Existing…
Continue readingThe researchers developed a generative music AI framework, Video2Music, capable of generating music to match a provided video. They created a unique collection of music videos, from which they extracted…
Continue readingThis paper presents a novel AI framework, Video2Music, capable of generating music that matches the emotion of a given video. The researchers first collected a unique set of music videos,…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
