Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Robert Stanforth"'
Autor:
Pushmeet Kohli, Ray Jiang, Jack W. Rae, Dani Yogatama, Robert Stanforth, Po-Sen Huang, Huan Zhang, Vishal Maini, Johannes Welbl
Publikováno v:
EMNLP (Findings)
Advances in language modeling architectures and the availability of large text corpora have driven progress in automatic text generation. While this results in models capable of generating coherent texts, it also prompts models to internalize social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b530aab75c46c96120f2006913ca2bd
http://arxiv.org/abs/1911.03064
http://arxiv.org/abs/1911.03064
Autor:
Rudy Bunel, Pushmeet Kohli, Robert Stanforth, Relja Arandjelovic, Jonathan Uesato, Sven Gowal, Krishnamurthy Dvijotham, Timothy A. Mann, Chongli Qin
Publikováno v:
ICCV
Recent work has shown that it is possible to train deep neural networks that are provably robust to norm-bounded adversarial perturbations. Most of these methods are based on minimizing an upper bound on the worst-case loss over all possible adversar
Publikováno v:
IJCAI
This paper addressed the problem of formally verifying desirable properties of neural networks, i.e., obtaining provable guarantees that neural networks satisfy specifications relating their inputs and outputs (e.g., robustness to bounded norm advers
Autor:
Pushmeet Kohli, Krishnamurthy Dvijotham, Chris Dyer, Sven Gowal, Dani Yogatama, Johannes Welbl, Robert Stanforth, Po-Sen Huang
Publikováno v:
EMNLP/IJCNLP (1)
Neural networks are part of many contemporary NLP systems, yet their empirical successes come at the price of vulnerability to adversarial attacks. Previous work has used adversarial training and data augmentation to partially mitigate such brittlene
Autor:
Gallegos, Isabel O.1 (AUTHOR) iogalle@stanford.edu, Rossi, Ryan A.2 (AUTHOR) ryrossi@adobe.com, Barrow, Joe1,3 (AUTHOR) joe.barrow@patterndataworks.com, Tanjim, Md Mehrab2 (AUTHOR) tanjim@adobe.com, Kim, Sungchul2 (AUTHOR) sukim@adobe.com, Dernoncourt, Franck2 (AUTHOR) dernonco@adobe.com, Yu, Tong2 (AUTHOR) tyu@adobe.com, Zhang, Ruiyi2 (AUTHOR) ruizhang@adobe.com, Ahmed, Nesreen K.4 (AUTHOR) nesreen.k.ahmed@intel.com
Publikováno v:
Computational Linguistics. Sep2024, Vol. 50 Issue 3, p1097-1179. 83p.
Publikováno v:
Journal of Colloid and Interface Science. 317:35-43
Replacement of one anion from goethite with another provides useful insight into the irreversible adsorption of the first added anion in a binary system. The objective of this study was to investigate the irreversible adsorption of dimethylarsinate (
Publikováno v:
Journal of Environmental Engineering. 131:38-48
Treatment of lead-contaminated material focuses on the reduction of leached lead concentrations in laboratory leaching tests. There has been little study on the chemical stability of treated materials after waste disposal. To investigate the effects
Autor:
Adeline Ler, Robert Stanforth
Publikováno v:
Environmental Science & Technology. 37:2694-2700
Recent studies have suggested that the interaction between phosphate and goethite includes ternary adsorption/ surface precipitation as well as surface complexformation. The ternary adsorption/surface precipitation process envisioned involves the dis
Autor:
Zhao Hongshao, Robert Stanforth
Publikováno v:
Environmental Science & Technology. 35:4753-4757
The competitive adsorption of phosphate and arsenate on goethite was investigated to better understand the bonding mechanisms for the two ions. The anions were added both simultaneously and sequentially. When added simultaneously, the two ions were a
Autor:
Zhao Youcai, Robert Stanforth
Publikováno v:
Separation Science and Technology. 36:2561-2570
Zinc and lead are usually concomitantly present in Zn-Pb ores and solid wastes, such as electric arc furnace (EAF) dusts. One of the treatment methods is to extract zinc and lead from the ores and wastes by an alkaline leaching process if applicable.