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02/01/2023
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection
Knowledge distillation addresses the problem of transferring knowledge f...
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01/18/2023
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display
Traditional wall-sized displays mostly only support side-by-side co-loca...
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10/05/2022
Contextualized Generative Retrieval
The text retrieval task is mainly performed in two ways: the bi-encoder ...
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04/08/2022
Matrix Syncer – A Multi-chain Data Aggregator For Supporting Blockchain-based Metaverses
Due to the rising complexity of the metaverse's business logic and the l...
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03/16/2022
DePS: An improved deep learning model for de novo peptide sequencing
De novo peptide sequencing from mass spectrometry data is an important m...
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02/01/2022
Active Learning Over Multiple Domains in Natural Language Tasks
Studies of active learning traditionally assume the target and source da...
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10/23/2020
Rethinking the competition between detection and ReID in Multi-Object Tracking
Due to balanced accuracy and speed, joint learning detection and ReID-ba...
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10/19/2020
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
The detection of thoracic abnormalities challenge is organized by the De...
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09/17/2020
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
Recent work (Feng et al., 2018) establishes the presence of short, unint...
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07/30/2020
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Progress in cross-lingual modeling depends on challenging, realistic, an...
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07/15/2020
ContourRend: A Segmentation Method for Improving Contours by Rendering
A good object segmentation should contain clear contours and complete re...
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03/21/2020
Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring
We propose a new application of embedding techniques for problem retriev...
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02/20/2020
Graph Computing based Distributed State Estimation with PMUs
Power system state estimation plays a fundamental and critical role in t...
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01/16/2020
MixPath: A Unified Approach for One-shot Neural Architecture Search
The expressiveness of search space is a key concern in neural architectu...
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01/02/2020
Graph-FCN for image semantic segmentation
Semantic segmentation with deep learning has achieved great progress in ...
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12/04/2019
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
To produce a domain-agnostic question answering model for the Machine Re...
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10/08/2019
Causal Inference for Comprehensive Cohort Studies
In a comprehensive cohort study of two competing treatments (say, A and ...
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03/25/2019
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
A novel centerline extraction framework is reported which combines an en...
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03/01/2019
SCAR: Strong Consistency using Asynchronous Replication with Minimal Coordination
Data replication is crucial in modern distributed systems as a means to ...
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02/19/2019
Graph Computing based Distributed Fast Decoupled Power Flow Analysis
Power flow analysis plays a fundamental and critical role in the energy ...
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11/05/2018
STAR: Scaling Transactions through Asymmetric Replication
In this paper, we present STAR, a new distributed in-memory database wit...
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11/05/2018
STAR: Scaling Transactions through Asymmetrical Replication
In this paper, we present STAR, a new distributed and replicated in-memo...
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09/05/2018
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database
Compared with traditional relational database, graph database, GDB, is a...
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01/25/2016
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs
Pioneered by Google's Pregel, many distributed systems have been develop...
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03/02/2015
