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03/03/2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Sparse Neural Networks (SNNs) have received voluminous attention predomi...
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02/28/2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Learning to Optimize (L2O) has drawn increasing attention as it often re...
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07/27/2022
Is Attention All NeRF Needs?
We present Generalizable NeRF Transformer (GNT), a pure, unified transfo...
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07/07/2022
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Transformers have quickly shined in the computer vision world since the ...
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02/09/2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
The lottery ticket hypothesis (LTH) has shown that dense models contain ...
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02/09/2022
Learning to Bootstrap for Combating Label Noise
Deep neural networks are powerful tools for representation learning, but...
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10/30/2021
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Despite tremendous success in many application scenarios, the training a...
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10/30/2021
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
Gigantic pre-trained models have become central to natural language proc...
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07/01/2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
There have been long-standing controversies and inconsistencies over the...
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06/06/2021
Efficient Lottery Ticket Finding: Less Data is More
The lottery ticket hypothesis (LTH) reveals the existence of winning tic...
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05/31/2021
GANs Can Play Lottery Tickets Too
Deep generative adversarial networks (GANs) have gained growing populari...
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02/12/2021
