no code implementations • EMNLP (newsum) 2021 • Khalil Mrini, Can Liu, Markus Dreyer
We introduce a deep reinforcement learning approach to topic-focused abstractive summarization, trained on rewards with a novel negative example baseline.
1 code implementation • 13 Mar 2024 • Can Liu, Jin Wang, Dongyang Yu
Yet, FL users are susceptible to the gradient inversion (GI) attack which can reconstruct ground-truth training data such as images based on model gradients.
no code implementations • 13 Mar 2024 • Can Liu, Jin Wang
As a new distributed computing framework that can protect data privacy, federated learning (FL) has attracted more and more attention in recent years.
no code implementations • 26 Oct 2023 • Peiling Jiang, Li Feng, Fuling Sun, Parakrant Sarkar, Haijun Xia, Can Liu
We introduce 1D-Touch, a novel text selection method that complements the carets-based sub-word selection by facilitating the selection of semantic units of words and above.
no code implementations • 29 Sep 2023 • Yong Zhao, Runxin He, Nicholas Kersting, Can Liu, Shubham Agrawal, Chiranjeet Chetia, Yu Gu
SHAP package is a leading implementation of Shapley values to explain neural networks implemented in TensorFlow or PyTorch but lacks cross-platform support, one-shot deployment and is highly inefficient.
no code implementations • 4 Jul 2023 • Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
Prompts have been shown to be an effective method to adapt a frozen Pretrained Language Model (PLM) to perform well on downstream tasks.
no code implementations • 21 Feb 2021 • Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar
Our controlled experiments show that the keys to improving downstream performance on disease classification are (1) using patient metadata to appropriately create positive pairs from different images with the same underlying pathologies, and (2) maximizing the number of different images used in query pairing.
2 code implementations • 16 Oct 2020 • Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel, Roberto Martín-Martín, Silvio Savarese
Navigating fluently around pedestrians is a necessary capability for mobile robots deployed in human environments, such as buildings and homes.
no code implementations • 2 Jan 2020 • Weixin Liang, Zixuan Liu, Can Liu
Based on DAWSON, We also propose MUSIC MATINEE, which is the first few-shot music generation model.
no code implementations • 21 Dec 2018 • Can Liu, Shridatt Sugrim, Gradeigh D. Clark, Janne Lindqvist
We use a partial guessing metric, which demonstrates how many guesses an attacker needs to crack a percentage of the entire space, to compare the security of the distributions for gestures, signatures, and Android unlock patterns.
Cryptography and Security
no code implementations • 28 Feb 2018 • Guoxiong Xu, Zhengfei Wang, Hongshi Huang, Wenxin Li, Can Liu, Shilei Liu
Here, we propose a model using convolutional neural network based on plantar pressure for medical diagnosis.