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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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05/03/2022
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Pose estimation plays a critical role in human-centered vision applicati...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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01/17/2022
A Class of Minimum Storage Cooperative Regenerating Codes with Low Access Property
In this paper, a new repair scheme for a modified construction of MDS co...
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01/17/2022
A New Cooperative Repair Scheme with k + 1 Helper Nodes for (n, k) Hadamard MSR codes with Small Sub-packetization
Cooperative repair model is an available technology to deal with multipl...
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01/02/2022
A Bound on the Minimal Field Size of LRCs, and Cyclic MR Codes That Attain It
We prove a new lower bound on the field size of locally repairable codes...
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10/28/2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Tiny deep learning on microcontroller units (MCUs) is challenging due to...
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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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11/27/2020
A Construction of Maximally Recoverable Codes with Order-Optimal Field Size
We construct maximally recoverable codes (corresponding to partial MDS c...
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11/10/2020
Optimal Locally Repairable Codes: An Improved Bound and Constructions
We study the Singleton-type bound that provides an upper limit on the mi...
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07/22/2020
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
We present Tiny-Transfer-Learning (TinyTL), an efficient on-device learn...
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06/15/2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
We present APQ for efficient deep learning inference on resource-constra...
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05/28/2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...
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01/09/2020
On Optimal Locally Repairable Codes and Generalized Sector-Disk Codes
Optimal locally repairable codes with information locality are considere...
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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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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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01/04/2019
Network Coding Solutions for the Combination Network and its Subgraphs
The combination network is one of the simplest and insightful networks i...
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12/31/2018
On Optimal Locally Repairable Codes with Super-Linear Length
Locally repairable codes which are optimal with respect to the bound pre...
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12/02/2018
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Neural architecture search (NAS) has a great impact by automatically des...
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11/14/2018
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Reinforcement learning (RL) has recently been introduced to interactive ...
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11/14/2018
Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation
With the rapid growth of the express industry, intelligent warehouses th...
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06/07/2018
Path-Level Network Transformation for Efficient Architecture Search
We introduce a new function-preserving transformation for efficient neur...
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12/02/2017
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence
We introduce MAgent, a platform to support research and development of m...
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09/24/2017
Long Text Generation via Adversarial Training with Leaked Information
Automatically generating coherent and semantically meaningful text has m...
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07/16/2017
Efficient Architecture Search by Network Transformation
Techniques for automatically designing deep neural network architectures...
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03/06/2017
Activation Maximization Generative Adversarial Nets
Class label information has been empirically proven to be very useful in...
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01/10/2017