IEEE

TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs

Abstract: This paper introduces an enhanced approach for deploying deep learning models on resource-constrained IoT devices by combining model partitioning, autoencoder-based compression, quantization ...
IEEE

Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co-Training on Bi-Level Knowledge Graphs

Abstract: Knowledge graphs (KGs) represent known entities and their relationships using triplets, but this method cannot represent relationships between facts, limiting their expressiveness. Recently, ...
GitHub

Mimic Blocker: Self-Supervised Adversarial Training for Voice Conversion Defense with Pretrained Feature Extractors

Official Implementation of the Interspeech 2025 paper Mimic Blocker: Self-Supervised Adversarial Training for Voice Conversion Defense with Pretrained Feature Extractors Voice conversion (VC) enables ...
Mashable

Does the Apple Watch Ultra 3's training load feature actually prevent overtraining?

When training for a specific goal, a smart fitness tracker is an essential. Aside from simply tracking your activities, it can support your training through suggested workouts, fatigue tracking, and ...