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Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems
Since the pre-trained language models are widely used, retrieval-based o...
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Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing
We study the coarse-grained selection module in retrieval-based chatbot....
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Search-free DOA Estimation Method Based on Tensor Decomposition and Polynomial Rooting for Transmit Beamspace MIMO Radar
In order to improve the accuracy and resolution for transmit beamspace m...
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TNT: Target-driveN Trajectory Prediction
Predicting the future behavior of moving agents is essential for real wo...
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Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study
Currently, open-domain generative dialog systems have attracted consider...
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Modeling and Optimization of Latency in Erasure-coded Storage Systems
As consumers are increasingly engaged in social networking and E-commerc...
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PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems
Open-domain generative dialogue systems have attracted considerable atte...
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Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users
Voice traffic prediction is significant for network deployment optimizat...
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Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Prior work in multi-task learning has mainly focused on predictions on a...
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When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
Despite the multi-turn open-domain dialogue systems have attracted more ...
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Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection
Detecting code clones is crucial in various software engineering tasks. ...
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Generative Dialog Policy for Task-oriented Dialog Systems
There is an increasing demand for task-oriented dialogue systems which c...
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Multi-task Learning for Low-resource Second Language Acquisition Modeling
Second language acquisition (SLA) modeling is to predict whether second ...
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CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization
Unsafe memory accesses in programs written using popular programming lan...
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Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
We present a novel graph-neural-network-based system to effectively repr...
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FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems
Traffic for internet video streaming has been rapidly increasing and is ...
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RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
The early detection and early diagnosis of lung cancer are crucial to im...
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Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-critical MapReduce Jobs
Meeting desired application deadlines in cloud processing systems such a...
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On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines
MapReduce is the most popular big-data computation framework, motivating...
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Spatio-temporal Aware Non-negative Component Representation for Action Recognition
This paper presents a novel mid-level representation for action recognit...
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