Trending Research
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
coqui-ai/TTS
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Several recent end-to-end text-to-speech (TTS) models enabling single-stage training and parallel sampling have been proposed, but their sample quality does not match that of two-stage TTS systems.
Sound Audio and Speech Processing
Onesweep: A Faster Least Significant Digit Radix Sort for GPUs
This exhibits a significant reduction in last-level memory traffic versus contemporary GPU radix sorting implementations, where each iteration of digit binning requires two passes through the dataset totaling ~3n global memory operations.
Distributed, Parallel, and Cluster Computing Data Structures and Algorithms F.2.2; D.1.3
An Empirical Study of Malicious Code In PyPI Ecosystem
PyPI provides a convenient and accessible package management platform to developers, enabling them to quickly implement specific functions and improve work efficiency.
Software Engineering
DB-GPT: Empowering Database Interactions with Private Large Language Models
Our extensive experiments and user studies confirm that DB-GPT represents a paradigm shift in database interactions, offering a more natural, efficient, and secure way to engage with data repositories.
Databases
Aeneas: Rust Verification by Functional Translation
We present Aeneas, a new verification toolchain for Rust programs based on a lightweight functional translation.
Programming Languages
A Conflict-Free Replicated JSON Datatype
Many applications model their data in a general-purpose storage format such as JSON.
Distributed, Parallel, and Cluster Computing Databases
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec
lucidrains/vector-quantize-pytorch
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Despite their usefulness, two challenges persist: (1) training these audio codec models can be difficult due to the lack of publicly available training processes and the need for large-scale data and GPUs; (2) achieving good reconstruction performance requires many codebooks, which increases the burden on generation models.
Sound Audio and Speech Processing
HDVIO: Improving Localization and Disturbance Estimation with Hybrid Dynamics VIO
The results show that our approach improves the motion and external force estimation compared to the state-of-the-art by up to 33% and 40%, respectively.
Robotics
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
intelligent-machine-learning/glake
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Owing to the prohibitively large overhead (e. g., $10 \times$) of GPUs' native memory allocator, DNN frameworks like PyTorch and TensorFlow adopt a caching allocator that maintains a memory pool with a splitting mechanism for fast memory (de)allocation.
Distributed, Parallel, and Cluster Computing
Manu: A Cloud Native Vector Database Management System
In the past three years, through interaction with our 1200+ industry users, we have sketched a vision for the features that next-generation vector databases should have, which include long-term evolvability, tunable consistency, good elasticity, and high performance.
Databases
