Trending Research
Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation
This approach has several limitations: 1) its incorrect phase reconstruction degrades the performance, 2) it limits the magnitude of masks between 0 and 1 while we observe that 22% of time-frequency bins have ideal ratio mask values of over~1 in a popular dataset, MUSDB18, 3) its potential on very deep architectures is under-explored.
Sound Audio and Speech Processing
On Creating a Comprehensive Food Database
These foods also have an abundance of nutrient data associated with them, from the caloric amount to saturated fat levels.
Databases Computers and Society H.2.8; H.2.1
Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
While FPGA accelerator boards and their respective high-level design tools are maturing, there is still a lack of multi-FPGA applications, libraries, and not least, benchmarks and reference implementations towards sustained HPC usage of these devices.
Distributed, Parallel, and Cluster Computing Hardware Architecture
MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract
We have implemented our technique in a tool called MPro, a scalable and automated smart contract analyzer based on the existing symbolic analysis tool Mythril-Classic and the static analysis tool Slither.
Cryptography and Security
A C++17 Thread Pool for High-Performance Scientific Computing
We present a modern C++17-compatible thread pool implementation, built from scratch with high-performance scientific computing in mind.
Distributed, Parallel, and Cluster Computing D.1.3; D.1.5
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
New consent management platforms (CMPs) have been introduced to the web to conform with the EU's General Data Protection Regulation, particularly its requirements for consent when companies collect and process users' personal data.
Human-Computer Interaction Computers and Society
The Bloom Clock
To reduce the space complexity from which the vector clock suffers, the bloom clock uses a 'moving window' in which the partial order of events can be inferred with high confidence.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra.
Data Structures and Algorithms Distributed, Parallel, and Cluster Computing
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
laion-ai/clap
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In audio classification tasks, the model achieves state-of-the-art performance in the zero-shot setting and is able to obtain performance comparable to models' results in the non-zero-shot setting.
Sound Audio and Speech Processing
Bidirectional Learning for Offline Infinite-width Model-based Optimization
In offline model-based optimization, we strive to maximize a black-box objective function by only leveraging a static dataset of designs and their scores.
Computational Engineering, Finance, and Science
