Results 91 to 100 of about 3,080,648 (304)

Self-Distillation for Multi-Token Prediction

CoRR
As Large Language Models (LLMs) scale up, inference efficiency becomes a critical bottleneck. Multi-Token Prediction (MTP) could accelerate LLM inference by predicting multiple future tokens in parallel. However, existing MTP approaches still face two challenges: limited acceptance rates of MTP heads, and difficulties in jointly training multiple MTP ...
Guoliang Zhao, Ruobing Xie, An Wang, Shuaipeng Li, Huaibing Xie, Xingwu Sun   +5 more
openaire   +2 more sources

Minimally Invasive Delivery of Optical Nanosensors Using Injectable Hydrogels

Advanced Materials Interfaces, EarlyView.
Injectable peptide hydrogels offer a minimally invasive delivery platform for single‐walled carbon nanotube (SWCNT)‐based near‐infrared fluorescent sensors, enabling real‐time measurement of drug concentrations. Encapsulated SWCNTs show a dose‐dependent fluorescence response across physiologically relevant concentrations and retain their fluorescence ...
Shirel Kleiner, Gili Bisker
wiley   +1 more source

Bidirectional branch and bound for controlled variable selection. Part II: exact local method for self-optimizing control [PDF]

, 2009
The selection of controlled variables (CVs) from available measurements through enumeration of all possible alternatives is computationally forbidding for large-dimensional problems. In Part I of this work [Cao, Y., & Kariwala, V.
Vinay Cao, Vinay Kariwala, Kariwala, Vinay, Author(s Kariwala, Yi Cao, Cao, Yi   +5 more
core   +1 more source

Lightweight Branching Self-distillation: Be Your Own Teacher

, 2023
When applying deep neural networks (DNNs) in resource-constrained environments, Lightweight model techniques are often used to modify the model to be less computationally intensive.
Jo, J, Le, D, Nguyen, TT, Robertson, C, Nguyen, QVH   +4 more
core   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Advancing Fine-Grained Few-Shot Object Detection on Remote Sensing Images with Decoupled Self-Distillation and Progressive Prototype Calibration

Remote Sensing
In data-scarcity scenarios, few-shot object detection (FSOD) methods exhibit a notable advantage in alleviating the over-fitting problem. Currently, research on FSOD in the field of remote sensing is advancing rapidly and FSOD methods based on the fine ...
Hao Guo, Yanxing Liu, Zongxu Pan, Yuxin Hu   +3 more
doaj   +1 more source

From batch to continuous extractive distillation using thermodynamic insight: class 1.0-2 case B [PDF]

, 2011
A systematic feasibility analysis is presented for the separation azeotropic mixtures by batch and continuous extractive distillation. Based on batch feasibility knowledge, batch and continuous separation feasibility is studied under reflux ratio and ...
Benyounes, Hassiba, Shen, Weifeng, Gerbaud, Vincent   +2 more
core  

High‐Power Rapid Laser‐Induced Synthesis of Multi‐functional Cobalt Metal‐Organic Framework With an Unprecedented Synthesis Efficiency

Advanced Materials Technologies, EarlyView.
Laser‐assisted synthesis enables rapid (within 1 h) and high‐yield (≥90%) production of Co‐MOFs with mesoporous structures, tunable magnetic and optical properties, and efficient adsorption of N2, CH4, and CO2 for low‐energy gas separation. DFT calculations elucidate the electronic structure and adsorption behavior.
Saliha Mutlu, Bülend Ortaç, Ali Karatutlu, Taylan Gorkan, Engin Durgun, Dilek Soyler, Saniye Soylemez, Jelena Lillepäg, Volkan Filiz, Nergis Arsu, Sevil Savaskan Yilmaz   +10 more
wiley   +1 more source

A Gated Attention-Based Semi-Supervised Learning Framework for Label-Scarce Tabular Data

IEEE Access
Tabular data is a data format commonly used in various industries, including finance, medical services, and manufacturing. However, deep learning research for this data type has lagged behind the progress seen in computer vision and natural language ...
Yongeun Jang, Yonggon Jung, Ghil-Geun Oh, Jun-Geol Baek   +3 more
doaj   +1 more source

Computer teaching-aids for an undergraduate course in distillation

, 1976
Includes bibliographical references.[Not copying properly] Four computer programs dealing with the following aspects of distillation are developed as an integrated teaching package. (1) Binary batch distillation in tray columns.
Greensmith, John Malcolm Travers
core