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08/20/2023
How Good Are Large Language Models at Out-of-Distribution Detection?
Out-of-distribution (OOD) detection plays a vital role in enhancing the ...
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08/18/2023
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction
Accurate 3D cardiac reconstruction from cine magnetic resonance imaging ...
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07/04/2023
All in One: Multi-task Prompting for Graph Neural Networks
Recently, ”pre-training and fine-tuning” has been adopted as a standard ...
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04/22/2023
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot gene...
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07/25/2022
Video object tracking based on YOLOv7 and DeepSORT
Multiple object tracking (MOT) is an important technology in the field o...
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03/01/2022
SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network
With the rapid development of smart manufacturing, data-driven machinery...
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02/18/2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Motivated by the advancing computational capacity of distributed end-use...
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10/04/2021
Trustworthy AI: From Principles to Practices
Fast developing artificial intelligence (AI) technology has enabled vari...
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07/01/2021
Segmenting 3D Hybrid Scenes via Zero-Shot Learning
This work is to tackle the problem of point cloud semantic segmentation ...
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03/02/2021
IdentityDP: Differential Private Identification Protection for Face Images
Because of the explosive growth of face photos as well as their widespre...
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02/18/2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Medical visual question answering (Med-VQA) has tremendous potential in ...
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11/13/2020
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines
Automatic speech recognition (ASR) has been significantly advanced with ...
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10/29/2020
Human versus Machine Attention in Deep Reinforcement Learning Tasks
Deep reinforcement learning (RL) algorithms are powerful tools for solvi...
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08/17/2020
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Oriented object detection in aerial images is a challenging task as the ...
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04/22/2020
Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning
We present a new per-step reward perspective for risk-averse control in ...
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03/28/2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition
Multiview recognition has been well studied in the literature and achiev...
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03/07/2020
Geometry and Topology of Deep Neural Networks' Decision Boundaries
Geometry and topology of decision regions are closely related with class...
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06/17/2019
PACMAN: A Planner-Actor-Critic Architecture for Human-Centered Planning and Learning
Conventional reinforcement learning (RL) allows an agent to learn polici...
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12/05/2018
Predicting pregnancy using large-scale data from a women's health tracking mobile application
Predicting pregnancy has been a fundamental problem in women's health fo...
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04/20/2018
