As autonomous driving systems prevail, it is becoming increasingly criti...
Recent research has shown that integrating domain knowledge into deep
le...
Recently, Transformer architecture has been introduced into image restor...
Great progress has been made in point cloud classification with
learning...
This work investigates the challenge of learning and reasoning for
Commo...
Estimating long-term causal effects based on short-term surrogates is a
...
We study the challenge of learning causal reasoning over procedural text...
Uplift modeling is a rapidly growing approach that utilizes machine lear...
This paper addresses the challenge of learning to do procedural reasonin...
This work deals with the challenge of learning and reasoning over multi-...
This work deals with the challenge of learning and reasoning over langua...
In edge computing scenarios, the distribution of data and collaboration ...
Deep neural networks have achieved significant improvements in informati...
Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...
In this paper, we propose an enhanced quasi-maximum likelihood (EQML) de...
For the architecture community, reasonable simulation time is a strong
r...
The complexity and diversity of big data and AI workloads make understan...
Several fundamental changes in technology indicate domain-specific hardw...
As architecture, system, data management, and machine learning communiti...
The complexity and diversity of big data and AI workloads make understan...
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
In this paper, we describe an effective convolutional neural network
fra...
In this paper, we discussed current limitation in the
electronic-design-...
Different from the traditional benchmarking methodology that creates a n...
In this paper, we proposed a new machine learning based fast power integ...
In this paper, we analyzed parasitic coupling capacitance coming from du...
In this paper, we proposed a non-uniform power delivery network (PDN)
sy...
In this paper, we discussed limitation of current
electronic-design-auto...
This paper presents the "isolate first, then share" OS model in which th...