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07/15/2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Robustness has been extensively studied in reinforcement learning (RL) t...
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06/15/2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
This paper presents a comprehensive benchmarking suite tailored to offli...
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06/15/2023
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning
The prominence of embodied Artificial Intelligence (AI), which empowers ...
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06/09/2023
Embodied Executable Policy Learning with Language-based Scene Summarization
Large Language models (LLMs) have shown remarkable success in assisting ...
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06/07/2023
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
Multimodal summarization with multimodal output (MSMO) has emerged as a ...
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05/18/2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Recently, reward-conditioned reinforcement learning (RCRL) has gained po...
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04/17/2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
Decision Transformers (DT) have demonstrated strong performances in offl...
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04/16/2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
Self-supervised learning is crucial for clinical imaging applications, g...
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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...
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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...
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02/14/2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Safe reinforcement learning (RL) trains a constraint satisfaction policy...
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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...
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01/23/2023
Learning to View: Decision Transformers for Active Object Detection
Active perception describes a broad class of techniques that couple plan...
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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...
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12/15/2022
Are Multimodal Models Robust to Image and Text Perturbations?
Multimodal image-text models have shown remarkable performance in the pa...
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10/21/2022
Continual Reinforcement Learning with Group Symmetries
Continual reinforcement learning (RL) aims to learn a sequence of tasks ...
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10/21/2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
One key challenge for multi-task Reinforcement learning (RL) in practice...
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10/18/2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...
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10/12/2022
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos
Livestream videos have become a significant part of online learning, whe...
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10/10/2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Multimedia summarization with multimodal output (MSMO) is a recently exp...
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10/04/2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
A vast literature shows that the learning-based visual perception model ...
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09/16/2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
A trustworthy reinforcement learning algorithm should be competent in so...
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09/14/2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Automatic Speech Recognition models require large amount of speech data ...
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09/08/2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions
Recent advances in machine learning have enabled its wide application in...
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08/10/2022
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
Electroencephalography (EEG) and language have been widely explored inde...
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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...
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07/19/2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
As a pivotal component to attaining generalizable solutions in human int...
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06/27/2022
Prompting Decision Transformer for Few-Shot Policy Generalization
Humans can leverage prior experience and learn novel tasks from a handfu...
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06/20/2022
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
As shown by recent studies, machine intelligence-enabled systems are vul...
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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...
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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...
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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...
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04/07/2022
MHMS: Multimodal Hierarchical Multimedia Summarization
Multimedia summarization with multimodal output can play an essential ro...
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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...
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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...
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02/19/2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning (RL) focuses on improving performances und...
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02/04/2022
A Survey on Safety-Critical Driving Scenario Generation – A Methodological Perspective
Autonomous driving systems have witnessed a significant development duri...
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01/28/2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Safe reinforcement learning (RL) aims to learn policies that satisfy cer...
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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...
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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...
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10/26/2021
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
Goal-directed generation, aiming for solving downstream tasks by generat...
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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...
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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...
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06/17/2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
We present the first framework of Certifying Robust Policies for reinfor...
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06/08/2021
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge
Deep Generative Models (DGMs) are known for their superior capability in...
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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...
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04/28/2021
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that ...
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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...
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01/02/2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments
Safety is a critical concern when deploying reinforcement learning agent...
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10/15/2020
