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Evolution of Part-of-Speech in Classical Chinese
Classical Chinese is a language notable for its word class flexibility: ...
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Word class flexibility: A deep contextualized approach
Word class flexibility refers to the phenomenon whereby a single word fo...
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Towards Understanding Fast Adversarial Training
Current neural-network-based classifiers are susceptible to adversarial ...
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Towards Practical Lottery Ticket Hypothesis for Adversarial Training
Recent research has proposed the lottery ticket hypothesis, suggesting t...
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Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments
E-commerce has evolved with the digital technology revolution over the y...
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Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
We propose a novel graph-driven generative model, that unifies multiple ...
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Distributed Recursive Filtering for Spatially Interconnected Systems with Randomly Occurred Missing Measurements
This paper proposed a distributed filter for spatially interconnected sy...
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Representation Learning for Discovering Phonemic Tone Contours
Tone is a prosodic feature used to distinguish words in many languages, ...
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Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach
This paper proposes a fast and accurate trajectory planning algorithm fo...
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Real-world Conversational AI for Hotel Bookings
In this paper, we present a real-world conversational AI system to searc...
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On Norm-Agnostic Robustness of Adversarial Training
Adversarial examples are carefully perturbed in-puts for fooling machine...
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Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Machine learning has shown promise for automatic detection of Alzheimer'...
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Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach
This paper focuses on automatic guided vehicle (AGV) trajectory planning...
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Improving Sequence-to-Sequence Learning via Optimal Transport
Sequence-to-sequence models are commonly trained via maximum likelihood ...
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Second-Order Adversarial Attack and Certifiable Robustness
We propose a powerful second-order attack method that outperforms existi...
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Dropout during inference as a model for neurological degeneration in an image captioning network
We replicate a variation of the image captioning architecture by Vinyals...
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A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
There has been recent interest in developing scalable Bayesian sampling ...
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On Connecting Stochastic Gradient MCMC and Differential Privacy
Significant success has been realized recently on applying machine learn...
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