105 citations
- Monash UniversityAU3 papers
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6 papers · 1 filter
Compiler-Driven FPGA Virtualization with SYNERGY
Joshua Landgraf, Tiffany Yang, Will Lin +2
FPGAs are increasingly common in modern applications, and cloud providers now support on-demand FPGA acceleration in data centers. Applications in data centers run on virtual infra…
FliT: A Library for Simple and Efficient Persistent Algorithms
Yuanhao Wei, Naama Ben-David, Michal Friedman +2
Non-volatile random access memory (NVRAM) offers byte-addressable persistence at speeds comparable to DRAM. However, with caches remaining volatile, automatic cache evictions can r…
Efficient Explanations With Relevant Sets
Yacine Izza, Alexey Ignatiev, Nina Narodytska +2
Recent work proposed -relevant inputs (or sets) as a probabilistic explanation for the predictions made by a classifier on a given input. -relevant sets are significant becau…
Explanations for Monotonic Classifiers
Joao Marques-Silva, Thomas Gerspacher, Martin Cooper +2
In many classification tasks there is a requirement of monotonicity. Concretely, if all else remains constant, increasing (resp. decreasing) the value of one or more features must…
Classifying Trusted Hardware via Unidirectional Communication
Naama Ben-David, Kartik Nayak
It is well known that Byzantine fault tolerant (BFT) consensus cannot be solved in the classic asynchronous message passing model when one-third or more of the processes may be fau…
Multicalibrated Partitions for Importance Weights
Parikshit Gopalan, Omer Reingold, Vatsal Sharan +1
The ratio between the probability that two distributions and give to points are known as importance weights or propensity scores and play a fundamental role in many dif…