b'Bai Li'

What do writing features tell us about AI papers?

As the numbers of submissions to conferences grow quickly, the task of a...
07/13/2021 ∙ by Zining Zhu, et al. ∙ 0 ∙ share

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How is BERT surprised? Layerwise detection of linguistic anomalies

Transformer language models have shown remarkable ability in detecting w...
05/16/2021 ∙ by Bai Li, et al. ∙ 0 ∙ share

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TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

Eye movement data during reading is a useful source of information for u...
04/15/2021 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Evolution of Part-of-Speech in Classical Chinese

Classical Chinese is a language notable for its word class flexibility: ...
09/23/2020 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Word class flexibility: A deep contextualized approach

Word class flexibility refers to the phenomenon whereby a single word fo...
09/19/2020 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Towards Understanding Fast Adversarial Training

Current neural-network-based classifiers are susceptible to adversarial ...
06/04/2020 ∙ by Bai Li, et al. ∙ 17 ∙ share

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Towards Practical Lottery Ticket Hypothesis for Adversarial Training

Recent research has proposed the lottery ticket hypothesis, suggesting t...
03/06/2020 ∙ by Bai Li, et al. ∙ 2 ∙ share

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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...
01/22/2020 ∙ by Bai Li, et al. ∙ 0 ∙ share

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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...
11/22/2019 ∙ by Yantao Lu, et al. ∙ 21 ∙ share

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Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

We propose a novel graph-driven generative model, that unifies multiple ...
11/20/2019 ∙ by Wenlin Wang, et al. ∙ 0 ∙ share

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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...
11/10/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Representation Learning for Discovering Phonemic Tone Contours

Tone is a prosodic feature used to distinguish words in many languages, ...
10/20/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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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...
10/11/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Real-world Conversational AI for Hotel Bookings

In this paper, we present a real-world conversational AI system to searc...
08/27/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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On Norm-Agnostic Robustness of Adversarial Training

Adversarial examples are carefully perturbed in-puts for fooling machine...
05/15/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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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'...
03/03/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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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...
02/17/2019 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Improving Sequence-to-Sequence Learning via Optimal Transport

Sequence-to-sequence models are commonly trained via maximum likelihood ...
01/18/2019 ∙ by Liqun Chen, et al. ∙ 0 ∙ share

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Second-Order Adversarial Attack and Certifiable Robustness

We propose a powerful second-order attack method that outperforms existi...
09/10/2018 ∙ by Bai Li, et al. ∙ 0 ∙ share

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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...
08/11/2018 ∙ by Bai Li, et al. ∙ 0 ∙ share

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A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

There has been recent interest in developing scalable Bayesian sampling ...
05/29/2018 ∙ by Changyou Chen, et al. ∙ 0 ∙ share

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On Connecting Stochastic Gradient MCMC and Differential Privacy

Significant success has been realized recently on applying machine learn...
12/25/2017 ∙ by Bai Li, et al. ∙ 0 ∙ share

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Bai Li

Featured Co-authors

Lawrence Carin

Jie Tang

Zhe Gan

YI LIU

Changyou Chen

Hao Liu

Yizhe Zhang

Shiqi Wang

Yang Xu

Frank Rudzicz

Jianyu Wang

What do writing features tell us about AI papers?

How is BERT surprised? Layerwise detection of linguistic anomalies

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction

Evolution of Part-of-Speech in Classical Chinese

Word class flexibility: A deep contextualized approach

Towards Understanding Fast Adversarial Training

Towards Practical Lottery Ticket Hypothesis for Adversarial Training

Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Distributed Recursive Filtering for Spatially Interconnected Systems with Randomly Occurred Missing Measurements

Representation Learning for Discovering Phonemic Tone Contours

Trajectory Planning for Autonomous Parking in Complex Environments: A Tunnel-based Optimal Control Approach

Real-world Conversational AI for Hotel Bookings

On Norm-Agnostic Robustness of Adversarial Training

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

Real-Time Trajectory Planning for AGV in the Presence of Moving Obstacles: A First-Search-Then-Optimization Approach

Improving Sequence-to-Sequence Learning via Optimal Transport

Second-Order Adversarial Attack and Certifiable Robustness

Dropout during inference as a model for neurological degeneration in an image captioning network

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

On Connecting Stochastic Gradient MCMC and Differential Privacy