Tianyi Liu | DeepAI

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∙ 09/07/2023

Multi-Modality Guidance Network For Missing Modality Inference

Multimodal models have gained significant success in recent years. Stand...

0 Zhuokai Zhao, et al. ∙

∙ 06/13/2023

Taxonomy-Structured Domain Adaptation

Domain adaptation aims to mitigate distribution shifts among different d...

0 Tianyi Liu, et al. ∙

∙ 01/18/2023

Label Inference Attack against Split Learning under Regression Setting

As a crucial building block in vertical Federated Learning (vFL), Split ...

0 Shangyu Xie, et al. ∙

∙ 10/11/2022

UGformer for Robust Left Atrium and Scar Segmentation Across Scanners

Thanks to the capacity for long-range dependencies and robustness to irr...

0 Tianyi Liu, et al. ∙

∙ 09/15/2022

Differentially Private Estimation of Hawkes Process

Point process models are of great importance in real world applications....

0 Simiao Zuo, et al. ∙

∙ 06/16/2022

Differentially Private Multi-Party Data Release for Linear Regression

Differentially Private (DP) data release is a promising technique to dis...

11 Ruihan Wu, et al. ∙

∙ 04/28/2022

Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities

Multimodal sentiment analysis has been studied under the assumption that...

0 Jiandian Zeng, et al. ∙

∙ 02/07/2022

Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably

We investigate the role of noise in optimization algorithms for learning...

0 Tianyi Liu, et al. ∙

∙ 12/10/2021

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation

Most existing vision-language pre-training methods focus on understandin...

0 Tianyi Liu, et al. ∙

∙ 10/01/2021

Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum

Momentum method has been used extensively in optimizers for deep learnin...

0 Guojing Cong, et al. ∙

∙ 06/17/2021

Recovery under Side Constraints

This paper addresses sparse signal reconstruction under various types of...

0 Khaled Ardah, et al. ∙

∙ 05/02/2021

GODSAC: Graph Optimized DSAC for Robot Relocalization

Deep learning based camera pose estimation from monocular camera images ...

0 Alphonsus Adu-Bredu, et al. ∙

∙ 02/24/2021

Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization

Numerous empirical evidences have corroborated the importance of noise i...

0 Tianyi Liu, et al. ∙

∙ 12/18/2020

Regularized Attentive Capsule Network for Overlapped Relation Extraction

Distantly supervised relation extraction has been widely applied in know...

0 Tianyi Liu, et al. ∙

∙ 06/23/2020

A Benchmarking Framework for Interactive 3D Applications in the Cloud

With the growing popularity of cloud gaming and cloud virtual reality (V...

0 Tianyi Liu, et al. ∙

∙ 01/09/2020

On Computation and Generalization of Generative Adversarial Imitation Learning

Generative Adversarial Imitation Learning (GAIL) is a powerful and pract...

15 Minshuo Chen, et al. ∙

∙ 12/24/2019

Online Quantification of Input Model Uncertainty by Two-Layer Importance Sampling

Stochastic simulation has been widely used to analyze the performance of...

0 Tianyi Liu, et al. ∙

∙ 09/10/2019

Towards Understanding the Importance of Shortcut Connections in Residual Networks

Residual Network (ResNet) is undoubtedly a milestone in deep learning. R...

2 Tianyi Liu, et al. ∙

∙ 09/07/2019

Towards Understanding the Importance of Noise in Training Neural Networks

Numerous empirical evidence has corroborated that the noise plays a cruc...

43 Mo Zhou, et al. ∙

∙ 08/21/2018

Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning

Extracting relations is critical for knowledge base completion and const...

0 Tianyi Liu, et al. ∙

∙ 06/04/2018

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization

Asynchronous momentum stochastic gradient descent algorithms (Async-MSGD...

0 Tianyi Liu, et al. ∙

∙ 02/14/2018

Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations

Momentum Stochastic Gradient Descent (MSGD) algorithm has been widely ap...

0 Tianyi Liu, et al. ∙

∙ 06/03/2015

Implementation of Training Convolutional Neural Networks

Deep learning refers to the shining branch of machine learning that is b...

0 Tianyi Liu, et al. ∙

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