Summary of Reducing Inference Energy Consumption Using Dual Complementary Cnns, by Michail Kinnas et al.
Reducing Inference Energy Consumption Using Dual Complementary CNNsby Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon…
Reducing Inference Energy Consumption Using Dual Complementary CNNsby Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon…
AdaScale: Dynamic Context-aware DNN Scaling via Automated Adaptation Loop on Mobile Devicesby Yuzhan Wang, Sicong…
Exploring Cognition through Morphological Info-Computational Frameworkby Gordana Dodig-CrnkovicFirst submitted to arxiv on: 1 Dec 2024CategoriesMain:…
Rethinking Cognition: Morphological Info-Computation and the Embodied Paradigm in Life and Artificial Intelligenceby Gordana Dodig-CrnkovicFirst…
Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Modelsby Sanghyun…
Open-Sora Plan: Open-Source Large Video Generation Modelby Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li,…
Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decodingby Ziyin Zhang,…
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Modelsby Yudong Zhang, Ruobing Xie,…
Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extractionby Mohamed RashadFirst submitted to arxiv…
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Modelby Zongjian Li,…