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09/14/2023
A Data Source for Reasoning Embodied Agents
Recent progress in using machine learning models for reasoning tasks has...
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06/25/2023
Masked conditional variational autoencoders for chromosome straightening
Karyotyping is of importance for detecting chromosomal aberrations in hu...
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06/19/2023
Data-Heterogeneous Hierarchical Federated Learning with Mobility
Federated learning enables distributed training of machine learning (ML)...
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05/24/2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology
As advances in large language models (LLMs) and multimodal techniques co...
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05/18/2023
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions
Human intelligence's adaptability is remarkable, allowing us to adjust t...
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03/15/2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
While Multiple Instance Learning (MIL) has shown promising results in di...
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02/25/2023
MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving
Timely and reliable environment perception is fundamental to safe and ef...
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12/07/2022
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Federated learning (FL) is a promising approach to enable the future Int...
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11/16/2022
Deep Joint Source-Channel Coding for Semantic Communications
Semantic communications is considered as a promising technology for redu...
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11/12/2022
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environ...
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10/27/2022
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Edge intelligence is an emerging paradigm for real-time training and inf...
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07/17/2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Exploiting pseudo labels (e.g., categories and bounding boxes) of unanno...
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07/15/2022
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving
Vehicle-to-Everything (V2X) network has enabled collaborative perception...
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06/30/2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
When designing a diagnostic model for a clinical application, it is cruc...
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05/27/2022
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Human intelligence has the remarkable ability to adapt to new tasks and ...
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05/05/2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Human intelligence has the remarkable ability to quickly adapt to new ta...
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04/25/2022
Adaptive actuation of magnetic soft robots using deep reinforcement learning
Magnetic soft robots have attracted growing interest due to their unique...
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04/19/2022
Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction
In this work we give a case study of an embodied machine-learning (ML) p...
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02/17/2022
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
Federated edge learning (FEEL) is a promising distributed machine learni...
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02/12/2022
Online V2X Scheduling for Raw-Level Cooperative Perception
Cooperative perception of connected vehicles comes to the rescue when th...
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10/13/2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
Human intelligence has the remarkable ability to adapt to new tasks and ...
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09/23/2021
Coded Computation across Shared Heterogeneous Workers with Communication Delay
Distributed computing enables large-scale computation tasks to be proces...
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07/02/2021
NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
In this paper, we introduce the first Challenge on Multi-modal Aerial Vi...
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05/31/2021
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints
Machine learning and wireless communication technologies are jointly fac...
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09/23/2020
Edge Learning with Timeliness Constraints: Challenges and Solutions
Future machine learning (ML) powered applications, such as autonomous dr...
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02/20/2020
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
In a vehicular edge computing (VEC) system, vehicles can share their sur...
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11/05/2019
ROI Pooled Correlation Filters for Visual Tracking
The ROI (region-of-interest) based pooling method performs pooling opera...
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11/01/2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Federated learning (FL) enables workers to learn a model collaboratively...
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04/16/2019
Heterogeneous Coded Computation across Heterogeneous Workers
Coded distributed computing framework enables large-scale machine learni...
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04/16/2019
Heterogeneous Computation across Heterogeneous Workers
Coded distributed computing framework enables large-scale machine learni...
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02/07/2019
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Future vehicles will have rich computing resources to support autonomous...
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01/16/2019
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
The vehicular edge computing (VEC) system integrates the computing resou...
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07/16/2018
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach
In vehicular edge computing (VEC) system, some vehicles with surplus com...
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04/03/2018