Results 51 to 60 of about 3,080,648 (304)

Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

open access: yesCoRR
code is released here: https://github.com/siyan-zhao ...
Siyan Zhao   +6 more
openaire   +2 more sources

Isopropyl alcohol recovery by heteroazeotropic batch distillation [PDF]

open access: yes, 2010
Solvent recovery is becoming a major issue in the pharmaceutical and specialty chemical industries. Solvent recovery by conventional batch distillation is limited by the frequent presence of azeotropes in the used solvent mixtures.
Van Baelen, Guy   +5 more
core  

A "MINLP" Formulation for Optimal Design of a Catalytic Distillation Column Based on a Generic Non Equilibrium Model [PDF]

open access: yes, 2005
This contribution proposes a Mixed Integer Non Linear Programming (MINLP) formulation for optimal design of a catalytic distillation column based on a generic nonequilibrium model (NEQ).
Reneaume, Jean-Michel   +9 more
core   +1 more source

Tailored Hierarchical Porous Copper Architectures via Three Dimensional Printing and Pressure‐less Sintering for Next‐Generation Lithium‐Metal Batteries

open access: yesAdvanced Engineering Materials, EarlyView.
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
wiley   +1 more source

A Mixed-Scale Self-Distillation Network for Accurate Ship Detection in SAR Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Ship detection in synthetic aperture radar (SAR) images has attracted extensive attention due to its promising applications. While numerous methods for ship detection have been proposed, detecting ships in complex scenarios remains challenging.
Shuang Liu   +6 more
doaj   +1 more source

Iterative Graph Self-Distillation

open access: yesIEEE Transactions on Knowledge and Data Engineering
Recently, there has been increasing interest in the challenge of how to discriminatively vectorize graphs. To address this, we propose a method called Iterative Graph Self-Distillation (IGSD) which learns graph-level representation in an unsupervised manner through instance discrimination using a self-supervised contrastive learning approach.
Hanlin Zhang 0002   +6 more
openaire   +3 more sources

Infinite/infinite analysis as a tool for an early oriented synthesis of a reactive pressure swing distillation [PDF]

open access: yes, 2007
The study contributes to the characterization of an original reactive pressure swing distillation system. The methyl acetate (MeAc) transesterification with ethanol (EtOH) to produce methanol (MeOH) and ethyl acetate (EtAc) is shown as illustrative ...
Reneaume, Jean-Michel   +6 more
core   +1 more source

Fast Yet Effective Speech Emotion Recognition with Self-Distillation

open access: yes, 2023
Speech emotion recognition (SER) is the task of recognising humans' emotional states from speech. SER is extremely prevalent in helping dialogue systems to truly understand our emotions and become a trustworthy human conversational partner.
Ren, Z   +3 more
core   +1 more source

Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats

open access: yesAdvanced Functional Materials, EarlyView.
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang   +18 more
wiley   +1 more source

Contrastive Learning or Masked Autoencoder? Understanding and Improving Self-Supervised Knowledge Distillation

open access: yesIEEE Access
Lying at the intersection of self-supervised learning (SSL) and knowledge distillation (KD), Self-supervised KD (SSKD) differs from classical KD frameworks by assuming the teacher model is pretrained without labels.
Taegoo Kang, Sung-Ho Bae, Chaoning Zhang
doaj   +1 more source

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