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08/21/2023
UnLoc: A Unified Framework for Video Localization Tasks
While large-scale image-text pretrained models such as CLIP have been us...
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02/28/2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
Spiking Neural Networks (SNNs) are promising energy-efficient models for...
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02/13/2023
Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
Despite the significant progress in 6-DoF visual localization, researche...
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07/22/2022
Comparing baseball players across eras via the novel Full House Model
We motivate a new methodological framework for era-adjusting baseball st...
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05/01/2022
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Spiking Neural Network (SNN) is a promising energy-efficient AI model wh...
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11/05/2021
NAS-Bench-x11 and the Power of Learning Curves
While early research in neural architecture search (NAS) required extrem...
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10/02/2021
FairFed: Enabling Group Fairness in Federated Learning
As machine learning becomes increasingly incorporated in crucial decisio...
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11/08/2020
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
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10/17/2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
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09/17/2020
Image Retrieval for Structure-from-Motion via Graph Convolutional Network
Conventional image retrieval techniques for Structure-from-Motion (SfM) ...
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06/12/2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
Existing Neural Architecture Search (NAS) methods either encode neural a...
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01/03/2020
Improve Unsupervised Domain Adaptation with Mixup Training
Unsupervised domain adaptation studies the problem of utilizing a releva...
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11/17/2019
Unsupervised Visual Representation Learning with Increasing Object Shape Bias
(Very early draft)Traditional supervised learning keeps pushing convolut...
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09/27/2019
A closer look at network resolution for efficient network design
There is growing interest in designing lightweight neural networks for m...
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08/31/2019
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
The use of automatic methods, often referred to as Neural Architecture S...
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06/07/2019
Word-based Domain Adaptation for Neural Machine Translation
In this paper, we empirically investigate applying word-level weights to...
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12/13/2017