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07/05/2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Large Language Models (LLMs) have demonstrated impressive planning abili...
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06/27/2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
General physical scene understanding requires more than simply localizin...
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03/27/2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
In this work, we aim to learn dexterous manipulation of deformable objec...
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06/30/2022
On-Device Training Under 256KB Memory
On-device training enables the model to adapt to new data collected from...
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05/29/2022
EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition
Vision Transformer (ViT) has achieved remarkable performance in many vis...
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10/17/2021
Network Augmentation for Tiny Deep Learning
We introduce Network Augmentation (NetAug), a new training method for im...
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03/28/2021
TransCenter: Transformers with Dense Queries for Multiple-Object Tracking
Transformer networks have proven extremely powerful for a wide variety o...
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07/20/2020
MCUNet: Tiny Deep Learning on IoT Devices
Machine learning on tiny IoT devices based on microcontroller units (MCU...
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06/18/2020
Language Guided Networks for Cross-modal Moment Retrieval
We address the challenging task of cross-modal moment retrieval, which a...
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08/26/2019
Once for All: Train One Network and Specialize it for Efficient Deployment
Efficient deployment of deep learning models requires specialized neural...
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06/17/2016
