This paper critiques popular modes of participation in design practice and machine learning. It examines three existing kinds of participation in design practice and machine learning participation as work, participation as consultation, and as participation as justice – to argue that the machine learning community must become attuned to possibly …

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation ... and Caiming Xiong. 2022. Intent contrastive learning for sequential recommendation. In Proceedings of the ACM International World Wide Web Conferences ... IEEE Transactions on Pattern Analysis and Machine Intelligence 42, 5 …

This paper discusses our experience with fine-grain synchronization for a variant of the preconditioned conjugate gradient method. This algorithm represents a large class of algorithms that have been widely used but traditionally difficult to implement ...

Machine Learning Approach for Fast Electromigration Aware Aging Prediction in Incremental Design of Large Scale On-chip Power Grid Network ... A. Bogliolo et al. 2000. Regression-based RTL power modeling. ACM Trans. Des. Autom. Electron. Syst. 5, 3 (2000), 337--372. Digital Library. ... today's multicore processors rely on fine-grained run ...

ACM 5 for laboratory and small-batch production. With the newly developed easy-clean concept, the ACM machine size 5 offerd a high degree of user-friendliness and a minimum of cleaning effort when changing products. A space requirement of just 15 m², a mains power socket and a compressed air connection is all this mill needs for operation.

The key idea underlying our design is the use of fine-grained replicated state machines, wherein every key-value pair in the index is treated as a separate replicated state machine. This approach has many advantages over a traditional coarse-grained approach that represents an entire shard of data as a state machine: it enables effective use of ...

Fabriquant des machines et des outillages spéciaux dans le secteur de la maroquinerie depuis plus de 20 ans, nous plaçons l'écoute attentive de nos clients au centre de nos priorités pour apporter des solutions sur mesure adaptées à leurs cahiers des charges. Maîtrise du métier, réactivité et qualité irréprochable sont nos leitmotivs pour vous offrir …

Attribute based encryption (ABE) has potential to be applied in various cloud computing applications. However, the Snowden revelations show that powerful adversaries can corrupt users' machines to compromise the security, and many implementations of provably secure encryption schemes may present undetectable vulnerabilities that can expose secret, …

Generating desirable molecular structures in 3D is a fundamental problem for drug discovery. Despite the considerable progress we have achieved, existing methods usually generate molecules in atom resolution and ignore intrinsic local structures such as rings, which leads to poor quality in generated structures, especially when generating large …

Making histopathology image classifiers robust to a wide range of real-world variability is a challenging task. Here, we describe a candidate deep learning solution for the Mitosis Domain Generalization Challenge 2022 (MIDOG) to address the problem of generalization for mitosis detection in images of hematoxylin-eosin-stained histology slides under high …

Heitzinger, T. and Stork, D.G. Improving semantic segmentation of fine art images using photographs rendered in a style learned from artworks. Computer Vision and Analysis of Art. D.G. Stork and K. Heumiller, (eds.).

Synthesizing Human-Object Interactions (HOI) is a challenging problem since the human body has a complex and versatile representation. Existing solutions can generate individual objects or faces very well but still face difficulty in generating realistic human bodies and their interaction with multiple objects.

The primary principle behind the air classifier mill is the use of airflow to separate particles based on their size and shape. As the material is fed into the grinding chamber of air …

The Mikro ACM® - Air Classifying Mill is designed to produce finer materials with sharper particle size distributions than most other impact milling technologies. In certain …

ACM. The ACM classifier mill was the first classifier mill on the market in 1962. Since then, the ACM has been continuously developed and adapted to the changing needs of the …

We present a neural encoder-decoder model to convert images into presentational markup based on a scalable coarse-to-fine attention mechanism. Our method is evaluated in the context of image-to-LaTeX generation, and we introduce a new dataset of real-world rendered mathematical expressions paired with LaTeX markup.

This paper introduces the general-purpose object-oriented programming language Ellie which supports machine independent fine-grained objects and parallelism. As something particular, classes, types, blocks, and methods are abstracted by first class ...

This article tackles this issue with AutoPro: a runtime system that enhances IaaS clouds with automated and fine-grained resource provisioning based on performance SLOs.Our main contribution with AutoPro is filling the gap between application-level performance SLOs and allocation of a contended resource, without requiring explicit reservations …

In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119). ... RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. In ACM MM. 4239--4248. Google Scholar [23] Yutao Hu, Yandan Yang, …

Misse-Chanabier P Rogliano T Kotselidis C Prokopec A (2022) Ease Virtual Machine Level Tooling with Language Level Ordinary Object Pointers Proceedings of the 14th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages 10.1145/3563838.3567676 (1-12) Online publication date: 29-Nov-2022

Sánchez Barrera I Black-Schaffer D Casas M Moretó M Stupnikova A Popov M Ayguadé E Hwu W Badia R Hofstee H (2020) Modeling and optimizing NUMA effects and prefetching with machine learning Proceedings of the 34th ACM International Conference on Supercomputing 10.1145/3392717.3392765 (1-13) Online publication date: 29-Jun-2020

In this study, we propose Shortcut Fine-Tuning (SFT), a new approach for addressing the challenge of fast sampling of pretrained Denoising Diffusion Probabilistic Models (DDPMs).SFT advocates for the fine-tuning of DDPM samplers through the direct minimization of Integral Probability Metrics (IPM), instead of learning the backward …

POS Tag-enhanced Coarse-to-fine Attention for Neural Machine Translation Authors : Yongjing Yin, Jinsong Su, Huating Wen, Jiali Zeng, Yang Liu, and Yidong Chen Authors Info & Claims ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 18, Issue 4

UML behavioral state machines are used for modeling the dynamic behavior of object-oriented designs. The UML specification, maintained by the Object Management Group (OMG), is documented in natural language (in contrast to formal language). The inherent ambiguity of natural languages may introduce inconsistencies in the resulting state …

Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, and Tom Goldstein. 2022. Dataset security for machine learning: Data poisoning, backdoor attacks, and defenses. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).

Mikro ACM® Air Classifying Mills were invented by Hosokawa Micron Powder Systems (HMPS) in the late 1960's and are one of the most versatile types of size reduction …

Découvrez toutes les informations sur le produit : machine de nettoyage à ultrasons ACM-200E de la société UltraTecno. Contactez un fournisseur ou directement la maison mère pour connaître le prix, obtenir un devis et découvrir les points de vente près de chez vous.

Machine translation-based fine-grained comments generation for solidity smart contracts. ... The experimental results show that SolcTrans outperforms four state-of-the-art neural machine translation models under currently available training data and is less affected by lengths of code snippets and translation outputs. ... ACM Trans. Softw. Eng ...

Principle. Fig. 1 Structure. The ACM-CR operates with the same principles as the conventional ACM Pulverizer. The ACM utilizes a closed circuit grinding mechanism, …

Edinburgh neural machine translation systems for WMT 16. In Proceedings of the 1st Conference on Machine Translation (WMT'16). The Association for Computer Linguistics, Berlin, 371 – 376. Google Scholar Cross Ref [16] Shi Xing and Knight Kevin. 2017. Speeding up neural machine translation decoding by shrinking run-time vocabulary.

By creating organic-looking fully autonomous agents that are capable of real-time interaction, we hope to create an experience that causes viewers to question what living with machines might feel like in a speculative far-future, and to imagine an alternative form of artificial intelligence that is neither threatening to humanity nor ...

Fine-grain parallelism with minimal hardware support: a compiler-controlled threaded abstract machine. Authors: David E. Culler. View Profile, Anurag Sah. View Profile, Klaus E. Schauser ... John Wawrzynek. View Profile. Authors Info & Claims . ACM SIGOPS Operating Systems Review Volume 25 Issue Special Issue Apr. 1991 pp 164–175 …

This paper discusses our experience with fine-grain synchronization for a variant of the preconditioned conjugate gradient method. This algorithm represents a large class of algorithms that have been widely used but traditionally difficult to implement efficiently on vector and parallel machines.

This paper uses an abstract machine approach to compare the mechanisms of two parallel machines: the J-Machine and the CM-5. High-level parallel programs are translated by a single optimizing compiler to a fine-grained abstract parallel machine, TAM. A final compilation step is unique to each machine and optimizes for specifics of the architecture.

Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. ... In 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC) ... In 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC). 9–20. …

Liao W Liang Z Yan D (2024) Fine-Grained Entity Classification Technology for Data Standard Adaptation Advances in Mechanical Design 10.1007/978-981-97-0922-9_109 (1711-1719) Online publication date: 20-Jun-2024