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07/24/2023
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
Prompt engineering is a technique that involves augmenting a large pre-t...
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05/22/2023
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Large language models (LLMs) demonstrate remarkable medical expertise, b...
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04/17/2023
Towards Robust Prompts on Vision-Language Models
With the advent of vision-language models (VLMs) that can perform in-con...
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03/19/2023
Training Deep Boltzmann Networks with Sparse Ising Machines
The slowing down of Moore's law has driven the development of unconventi...
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02/10/2023
Adjacent-level Feature Cross-Fusion with 3D CNN for Remote Sensing Image Change Detection
Deep learning-based change detection using remote sensing images has rec...
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02/02/2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
“Effective robustness” measures the extra out-of-distribution (OOD) robu...
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10/28/2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
Large pre-trained language models have shown remarkable performance over...
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11/20/2021
Are Vision Transformers Robust to Patch Perturbations?
The recent advances in Vision Transformer (ViT) have demonstrated its im...
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10/15/2021
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
We investigate the robustness of vision transformers (ViTs) through the ...
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02/16/2021
A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images
Change detection (CD) in remote sensing images has been an ever-expandin...
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10/05/2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
NLP models are shown to suffer from robustness issues, i.e., a model's p...
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02/18/2020
Deflecting Adversarial Attacks
There has been an ongoing cycle where stronger defenses against adversar...
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07/05/2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Adversarial examples raise questions about whether neural network models...
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03/22/2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Adversarial examples are inputs to machine learning models designed by a...
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12/29/2018
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels
Existing studies about ambient backscatter communication mostly assume f...
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08/29/2018
Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification
This paper presents a tensor alignment (TA) based domain adaptation meth...
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08/29/2018
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
This paper introduces a novel heterogenous domain adaptation (HDA) metho...
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05/22/2018
Autofocus Layer for Semantic Segmentation
We propose the autofocus convolutional layer for semantic segmentation w...
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05/26/2017
Hierarchical Cellular Automata for Visual Saliency
Saliency detection, finding the most important parts of an image, has be...
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04/07/2017
