E-commerce platforms categorize their products into a multi-level taxonomy tree with thousands of leaf categories. Conventional methods for product categorization are typically based on machine learning classification algorithms. These algorithms take product information as input (e.g., titles and descriptions) to classify a product into a leaf category.
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 …
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 ...
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 …
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 …
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 …
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 …
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.).
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.
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 …
The ACM Pulverizer is a Fine Impact mill built-in with a classifier used throughout the world for fine grinding various materials. In carbon black grit reduction applications, the low …
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 …
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
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. …
Fine-tuning then aims at maximizing the probability that a given event occurs at the end of the narrative. RL Tuner uses RL to fine-tune a Note-RNN to produce music that follows a set of music theory rules. To avoid forgetting note probabilities learned from the data, the probability value returned by a copy of the pre-trained Note-RNN can be ...
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 …
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, …
Xinyu Wang, Lin Gui, and Yulan He. 2023. Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.).
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
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
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, …
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 …
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 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 ...
A capability machine is a type of CPU allowing fine-grained privilege separation using capabilities, machine words that represent certain kinds of authority.We present a mathematical model and accompanying proof methods that can be used for formal verification of functional correctness of programs running on a capability machine, even …
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.
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 ...
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 …
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 …
Through such a masked modeling process, our model not only learns fine-grained multimodal interaction, but also avoids the semantic gap between high-level representations and low-or mid-level prediction targets (e.g., image pixels, discrete vision tokens), thus producing semantically rich multimodal representations that perform well on both ...
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 …
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 ...
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, …
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