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08/01/2023
NormKD: Normalized Logits for Knowledge Distillation
Logit based knowledge distillation gets less attention in recent years s...
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12/06/2022
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations
Previous work on action representation learning focused on global repres...
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12/06/2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Despite the tremendous progress of Masked Autoencoders (MAE) in developi...
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09/28/2022
Improving alignment of dialogue agents via targeted human judgements
We present Sparrow, an information-seeking dialogue agent trained to be ...
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07/21/2022
Towards Efficient Adversarial Training on Vision Transformers
Vision Transformer (ViT), as a powerful alternative to Convolutional Neu...
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03/16/2022
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Monocular 3D object detection is one of the most challenging tasks in 3D...
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06/09/2021
Attacking Adversarial Attacks as A Defense
It is well known that adversarial attacks can fool deep neural networks ...
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10/10/2020
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework
To deploy a pre-trained deep CNN on resource-constrained mobile devices,...
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10/03/2020
Does Network Width Really Help Adversarial Robustness?
Adversarial training is currently the most powerful defense against adve...
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10/19/2019
Correlation Maximized Structural Similarity Loss for Semantic Segmentation
Most semantic segmentation models treat semantic segmentation as a pixel...
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07/16/2019