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02/24/2023
Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals
As autonomous driving systems prevail, it is becoming increasingly criti...
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02/16/2023
GLUECons: A Generic Benchmark for Learning Under Constraints
Recent research has shown that integrating domain knowledge into deep le...
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11/24/2022
Cross Aggregation Transformer for Image Restoration
Recently, Transformer architecture has been introduced into image restor...
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10/27/2022
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification
Great progress has been made in point cloud classification with learning...
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09/20/2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
This work investigates the challenge of learning and reasoning for Commo...
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08/09/2022
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
Estimating long-term causal effects based on short-term surrogates is a ...
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03/21/2022
Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning
We study the challenge of learning causal reasoning over procedural text...
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03/21/2022
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Uplift modeling is a rapidly growing approach that utilizes machine lear...
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05/27/2021
Relational Gating for "What If" Reasoning
This paper addresses the challenge of learning to do procedural reasonin...
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10/07/2020
SRLGRN: Semantic Role Labeling Graph Reasoning Network
This work deals with the challenge of learning and reasoning over multi-...
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05/12/2020
Cross-Modality Relevance for Reasoning on Language and Vision
This work deals with the challenge of learning and reasoning over langua...
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08/06/2019
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
In edge computing scenarios, the distribution of data and collaboration ...
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06/22/2019
RLTM: An Efficient Neural IR Framework for Long Documents
Deep neural networks have achieved significant improvements in informati...
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01/03/2019
XOS: An Application-Defined Operating System for Data Center Servers
Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...
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10/31/2018
Enhanced Quasi-Maximum Likelihood Decoding of Short LDPC Codes based on Saturation
In this paper, we propose an enhanced quasi-maximum likelihood (EQML) de...
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10/18/2018
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
For the architecture community, reasonable simulation time is a strong r...
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08/26/2018
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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02/23/2018
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Several fundamental changes in technology indicate domain-specific hardw...
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02/23/2018
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite
As architecture, system, data management, and machine learning communiti...
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02/01/2018
Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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02/01/2018
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
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11/14/2017
A Deep Learning Approach for Expert Identification in Question Answering Communities
In this paper, we describe an effective convolutional neural network fra...
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11/11/2017
Depth First Always On Routing Trace Algorithm
In this paper, we discussed current limitation in the electronic-design-...
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11/09/2017
A Dwarf-based Scalable Big Data Benchmarking Methodology
Different from the traditional benchmarking methodology that creates a n...
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11/08/2017
Machine Learning Based Fast Power Integrity Classifier
In this paper, we proposed a new machine learning based fast power integ...
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11/04/2017
Timing Aware Dummy Metal Fill Methodology
In this paper, we analyzed parasitic coupling capacitance coming from du...
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11/01/2017
Non Uniform On Chip Power Delivery Network Synthesis Methodology
In this paper, we proposed a non-uniform power delivery network (PDN) sy...
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10/28/2017
Customized Routing Optimization Based on Gradient Boost Regressor Model
In this paper, we discussed limitation of current electronic-design-auto...
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04/05/2016
