Bai Li

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UNIVERSITY OF TORONTO ∙ Duke University

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Bai Li

Featured Co-authors

Lawrence Carin

Zhe Gan

Jie Tang

Changyou Chen

Yizhe Zhang

Hao Liu

YI LIU

Shiqi Wang

Hongteng Xu

Jianyu Wang

Dinghan Shen

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

Towards Practical Lottery Ticket Hypothesis for Adversarial Training

On Connecting Stochastic Gradient MCMC and Differential Privacy

A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

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

Second-Order Adversarial Attack and Certifiable Robustness

Improving Sequence-to-Sequence Learning via Optimal Transport

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

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

On Norm-Agnostic Robustness of Adversarial Training

Real-world Conversational AI for Hotel Bookings

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

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

Representation Learning for Discovering Phonemic Tone Contours

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

Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments