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05/02/2023
Transfer Visual Prompt Generator across LLMs
While developing a new vision-language LLM (VL-LLM) by pre-training on t...
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12/17/2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
The recent success of pre-trained 2D vision models is mostly attributabl...
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10/13/2022
Demystifying Self-supervised Trojan Attacks
As an emerging machine learning paradigm, self-supervised learning (SSL)...
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11/22/2021
Backdoor Attack through Frequency Domain
Backdoor attacks have been shown to be a serious threat against deep lea...
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08/17/2020
Robust Autoencoder GAN for Cryo-EM Image Denoising
The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecula...
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07/15/2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
Deep learning based models have excelled in many computer vision task an...
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02/10/2019
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
Detecting interaction effects is a crucial step in various applications....
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10/24/2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
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03/01/2018
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees
Training deep neural networks (DNNs) efficiently is a challenge due to t...
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05/02/2017
