b'Ding Zhao'

research

∙ 07/15/2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Robustness has been extensively studied in reinforcement learning (RL) t...

0 Wenhao Ding, et al. ∙

research

∙ 06/15/2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning

This paper presents a comprehensive benchmarking suite tailored to offli...

0 Zuxin Liu, et al. ∙

research

∙ 06/15/2023

Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning

The prominence of embodied Artificial Intelligence (AI), which empowers ...

0 Miao Li, et al. ∙

research

∙ 06/09/2023

Embodied Executable Policy Learning with Language-based Scene Summarization

Large Language models (LLMs) have shown remarkable success in assisting ...

0 Jielin Qiu, et al. ∙

research

∙ 06/07/2023

MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos

Multimodal summarization with multimodal output (MSMO) has emerged as a ...

0 Jielin Qiu, et al. ∙

research

∙ 05/18/2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

Recently, reward-conditioned reinforcement learning (RCRL) has gained po...

0 Wenhao Ding, et al. ∙

research

∙ 04/17/2023

Hyper-Decision Transformer for Efficient Online Policy Adaptation

Decision Transformers (DT) have demonstrated strong performances in offl...

1 Mengdi Xu, et al. ∙

research

∙ 04/16/2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging

Self-supervised learning is crucial for clinical imaging applications, g...

0 Jielin Qiu, et al. ∙

research

∙ 03/15/2023

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models

Continued improvements in machine learning techniques offer exciting new...

0 Steven M. Hernandez, et al. ∙

research

∙ 03/09/2023

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning

In this work, we first formulate the problem of goal-conditioned robotic...

3 Yaru Niu, et al. ∙

research

∙ 02/14/2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning

Safe reinforcement learning (RL) trains a constraint satisfaction policy...

0 Zuxin Liu, et al. ∙

research

∙ 02/04/2023

Interpolation for Robust Learning: Data Augmentation on Geodesics

We propose to study and promote the robustness of a model as per its per...

0 Jiacheng Zhu, et al. ∙

research

∙ 01/23/2023

Learning to View: Decision Transformers for Active Object Detection

Active perception describes a broad class of techniques that couple plan...

0 Wenhao Ding, et al. ∙

research

∙ 01/21/2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

Recent advancements in Large Language Models (LLMs) have drawn increasin...

13 Jielin Qiu, et al. ∙

research

∙ 12/15/2022

Are Multimodal Models Robust to Image and Text Perturbations?

Multimodal image-text models have shown remarkable performance in the pa...

10 Jielin Qiu, et al. ∙

research

∙ 10/21/2022

Continual Reinforcement Learning with Group Symmetries

Continual reinforcement learning (RL) aims to learn a sequence of tasks ...

0 Mengdi Xu, et al. ∙

research

∙ 10/21/2022

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables

One key challenge for multi-task Reinforcement learning (RL) in practice...

4 Mengdi Xu, et al. ∙

research

∙ 10/18/2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation

Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...

21 Peide Huang, et al. ∙

research

∙ 10/12/2022

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos

Livestream videos have become a significant part of online learning, whe...

0 Jielin Qiu, et al. ∙

research

∙ 10/10/2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Multimedia summarization with multimodal output (MSMO) is a recently exp...

9 Jielin Qiu, et al. ∙

research

∙ 10/04/2022

Robustness Certification of Visual Perception Models via Camera Motion Smoothing

A vast literature shows that the learning-based visual perception model ...

6 Hanjiang Hu, et al. ∙

research

∙ 09/16/2022

Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability

A trustworthy reinforcement learning algorithm should be competent in so...

9 Mengdi Xu, et al. ∙

research

∙ 09/14/2022

Federated Pruning: Improving Neural Network Efficiency with Federated Learning

Automatic Speech Recognition models require large amount of speech data ...

0 Rongmei Lin, et al. ∙

research

∙ 09/08/2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions

Recent advances in machine learning have enabled its wide application in...

16 Chulin Xie, et al. ∙

research

∙ 08/10/2022

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram

Electroencephalography (EEG) and language have been widely explored inde...

19 William Han, et al. ∙

research

∙ 08/02/2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction

There has been an increased interest in applying deep neural networks to...

0 Jiacheng Zhu, et al. ∙

research

∙ 07/19/2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

As a pivotal component to attaining generalizable solutions in human int...

15 Wenhao Ding, et al. ∙

research

∙ 06/27/2022

Prompting Decision Transformer for Few-Shot Policy Generalization

Humans can leverage prior experience and learn novel tasks from a handfu...

1 Mengdi Xu, et al. ∙

research

∙ 06/20/2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

As shown by recent studies, machine intelligence-enabled systems are vul...

0 Chejian Xu, et al. ∙

research

∙ 05/29/2022

On the Robustness of Safe Reinforcement Learning under Observational Perturbations

Safe reinforcement learning (RL) trains a policy to maximize the task re...

0 Zuxin Liu, et al. ∙

research

∙ 04/25/2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles

Self-driving vehicles have their own intelligence to drive on open roads...

0 Jiaxin Liu, et al. ∙

research

∙ 04/13/2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes

In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...

0 Shaojin Ding, et al. ∙

research

∙ 04/07/2022

MHMS: Multimodal Hierarchical Multimedia Summarization

Multimedia summarization with multimodal output can play an essential ro...

0 Jielin Qiu, et al. ∙

research

∙ 04/04/2022

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling

Evaluating the performance of autonomous vehicles (AV) and their complex...

0 Mansur Arief, et al. ∙

research

∙ 03/19/2022

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression

Heart rate variability (HRV) is a practical and noninvasive measure of a...

0 Jiacheng Zhu, et al. ∙

research

∙ 02/19/2022

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training

Robust Reinforcement Learning (RL) focuses on improving performances und...

0 Peide Huang, et al. ∙

research

∙ 02/04/2022

A Survey on Safety-Critical Driving Scenario Generation – A Methodological Perspective

Autonomous driving systems have witnessed a significant development duri...

0 Wenhao Ding, et al. ∙

research

∙ 01/28/2022

Constrained Variational Policy Optimization for Safe Reinforcement Learning

Safe reinforcement learning (RL) aims to learn policies that satisfy cer...

11 Zuxin Liu, et al. ∙

research

∙ 01/25/2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction

In this paper, we focus on a new method of data augmentation to solve th...

1 Jielin Qiu, et al. ∙

research

∙ 11/03/2021

Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Rare-event simulation techniques, such as importance sampling (IS), cons...

0 Mansur Arief, et al. ∙

research

∙ 10/26/2021

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Goal-directed generation, aiming for solving downstream tasks by generat...

0 Wenhao Ding, et al. ∙

research

∙ 10/25/2021

Over-Conservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation

In rare-event simulation, an importance sampling (IS) estimator is regar...

0 Yuanlu Bai, et al. ∙

research

∙ 06/19/2021

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling

The evaluation of rare but high-stakes events remains one of the main di...

0 Mengdi Xu, et al. ∙

research

∙ 06/17/2021

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

We present the first framework of Certifying Robust Policies for reinfor...

0 Fan Wu, et al. ∙

research

∙ 06/08/2021

Semantically Controllable Scene Generation with Guidance of Explicit Knowledge

Deep Generative Models (DGMs) are known for their superior capability in...

0 Wenhao Ding, et al. ∙

research

∙ 05/02/2021

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles

Recent years have witnessed an increasing interest in improving the perc...

0 Sharad Chitlangia, et al. ∙

research

∙ 04/28/2021

Personalized Keyphrase Detection using Speaker and Environment Information

In this paper, we introduce a streaming keyphrase detection system that ...

0 Rajeev Rikhye, et al. ∙

research

∙ 02/07/2021

Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data

Optimal transport (OT) has generated much recent interest by its capabil...

0 Jiacheng Zhu, et al. ∙

research

∙ 01/02/2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments

Safety is a critical concern when deploying reinforcement learning agent...

0 Baiming Chen, et al. ∙

research

∙ 10/15/2020

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

This paper studies the safe reinforcement learning (RL) problem without ...

0 Zuxin Liu, et al. ∙

Ding Zhao

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