b'Yi Zhou'

research

∙ 05/01/2022

DDDM: a Brain-Inspired Framework for Robust Classification

Despite their outstanding performance in a broad spectrum of real-world ...

0 Xiyuan Chen, et al. ∙

research

∙ 04/30/2022

SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities

As deep learning advances, there is an ever-growing demand for models ca...

0 Pengbo Hu, et al. ∙

research

∙ 03/31/2022

Data Sampling Affects the Complexity of Online SGD over Dependent Data

Conventional machine learning applications typically assume that data sa...

0 Shaocong Ma, et al. ∙

research

∙ 03/21/2022

Delving into the Estimation Shift of Batch Normalization in a Network

Batch normalization (BN) is a milestone technique in deep learning. It n...

0 Lei Huang, et al. ∙

research

∙ 03/14/2022

Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings

Sense embedding learning methods learn different embeddings for the diff...

9 Yi Zhou, et al. ∙

research

∙ 02/24/2022

A Partition-and-Merge Algorithm for Solving the Steiner Tree Problem in Large Graphs

The Steiner tree problem, which asks for a minimum weighted tree spannin...

0 Xinyu Wu, et al. ∙

research

∙ 02/17/2022

Desingularization and p-Curvature of Recurrence Operators

Linear recurrence operators in characteristic p are classified by their ...

0 Yi Zhou, et al. ∙

research

∙ 02/17/2022

Listing Maximal k-Plexes in Large Real-World Graphs

Listing dense subgraphs in large graphs plays a key task in varieties of...

0 Zhengren Wang, et al. ∙

research

∙ 02/16/2022

Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm Analysis

We address the relatively unexplored problem of hyper-parameter optimiza...

0 Yi Zhou, et al. ∙

research

∙ 02/08/2022

On the Convergence of Gradient Extrapolation Methods for Unbalanced Optimal Transport

We study the Unbalanced Optimal Transport (UOT) between two measures of ...

0 Quang Minh Nguyen, et al. ∙

research

∙ 12/22/2021

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning

Alternating gradient-descent-ascent (AltGDA) is an optimization algorith...

0 Ziyi Chen, et al. ∙

research

∙ 12/16/2021

Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation

Video Panoptic Segmentation (VPS) aims at assigning a class label to eac...

0 Yi Zhou, et al. ∙

research

∙ 12/15/2021

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning

We address the relatively unexplored problem of hyper-parameter optimiza...

0 Yi Zhou, et al. ∙

research

∙ 11/21/2021

Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks

Despite its great success, deep learning severely suffers from robustnes...

0 Kaiyuan Liu, et al. ∙

research

∙ 11/05/2021

Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting

Among prerequisites for a synthetic agent to interact with dynamic scene...

0 Xiuyuan Lu, et al. ∙

research

∙ 10/14/2021

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent

The gradient descent-ascent (GDA) algorithm has been widely applied to s...

0 Ziyi Chen, et al. ∙

research

∙ 10/05/2021

Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy

Contextualised word embeddings generated from Neural Language Models (NL...

0 Yi Zhou, et al. ∙

research

∙ 09/23/2021

The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21

This paper describes the Volctrans' submission to the WMT21 news transla...

0 Lihua Qian, et al. ∙

research

∙ 09/20/2021

Assisted Learning for Organizations with Limited Data

We develop an assisted learning framework for assisting organization-lev...

0 Cheng Chen, et al. ∙

research

∙ 09/08/2021

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis

Actor-critic (AC) algorithms have been widely adopted in decentralized m...

0 Ziyi Chen, et al. ∙

research

∙ 08/18/2021

Stochastic Scene-Aware Motion Prediction

A long-standing goal in computer vision is to capture, model, and realis...

11 Mohamed Hassan, et al. ∙

research

∙ 08/18/2021

Specificity-preserving RGB-D Saliency Detection

RGB-D saliency detection has attracted increasing attention, due to its ...

12 Tao Zhou, et al. ∙

research

∙ 07/26/2021

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning

Federated learning has arisen as a mechanism to allow multiple participa...

12 Kamala Varma, et al. ∙

research

∙ 06/17/2021

using multiple losses for accurate facial age estimation

Age estimation is an essential challenge in computer vision. With the ad...

0 Yi Zhou, et al. ∙

research

∙ 06/16/2021

Improving Entity Linking through Semantic Reinforced Entity Embeddings

Entity embeddings, which represent different aspects of each entity with...

0 Feng Hou, et al. ∙

research

∙ 06/08/2021

A likelihood based sensitivity analysis for publication bias on summary ROC in meta-analysis of diagnostic test accuracy

In meta-analysis of diagnostic test accuracy, summary receiver operating...

0 Yi Zhou, et al. ∙

research

∙ 04/07/2021

Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation

Temporal-difference learning with gradient correction (TDC) is a two tim...

0 Yue Wang, et al. ∙

research

∙ 03/30/2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity

Greedy-GQ is a value-based reinforcement learning (RL) algorithm for opt...

0 Shaocong Ma, et al. ∙

research

∙ 03/24/2021

Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity

The finite-time convergence of off-policy TD learning has been comprehen...

0 Ziyi Chen, et al. ∙

research

∙ 03/05/2021

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data

Federated learning (FL) has been proposed to allow collaborative trainin...

10 Runhua Xu, et al. ∙

research

∙ 03/01/2021

A Deep Emulator for Secondary Motion of 3D Characters

Fast and light-weight methods for animating 3D characters are desirable ...

25 Mianlun Zheng, et al. ∙

research

∙ 02/26/2021

Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification

Chest X-rays are an important and accessible clinical imaging tool for t...

11 Yi Zhou, et al. ∙

research

∙ 02/09/2021

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry

The gradient descent-ascent (GDA) algorithm has been widely applied to s...

11 Ziyi Chen, et al. ∙

research

∙ 02/01/2021

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

Data heterogeneity has been identified as one of the key features in fed...

9 Syed Zawad, et al. ∙

research

∙ 12/17/2020

Enhancing Balanced Graph Edge Partition with Effective Local Search

Graph partition is a key component to achieve workload balance and reduc...

3 Zhenyu Guo, et al. ∙

research

∙ 12/16/2020

Event-based Motion Segmentation with Spatio-Temporal Graph Cuts

Identifying independently moving objects is an essential task for dynami...

5 Yi Zhou, et al. ∙

research

∙ 12/15/2020

Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment

The present paper reviews the classical problem of free-form curve regis...

7 Yi Zhou, et al. ∙

research

∙ 12/11/2020

Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning

Federated Learning (FL) is an approach to collaboratively train a model ...

9 Yuya Jeremy Ong, et al. ∙

research

∙ 12/09/2020

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Acquiring sufficient ground-truth supervision to train deep visual model...

4 Xueyi Li, et al. ∙

research

∙ 12/04/2020

Mitigating Bias in Federated Learning

As methods to create discrimination-aware models develop, they focus on ...

7 Annie Abay, et al. ∙

research

∙ 11/25/2020

Multimodal Learning for Hateful Memes Detection

Memes are multimedia documents containing images and phrases that usuall...

12 Yi Zhou, et al. ∙

research

∙ 11/17/2020

Contrastive Weight Regularization for Large Minibatch SGD

The minibatch stochastic gradient descent method (SGD) is widely applied...

21 Qiwei Yuan, et al. ∙

research

∙ 11/17/2020

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models

Deep neural network models are vulnerable to adversarial attacks. In man...

11 Liping Yuan, et al. ∙

research

∙ 11/13/2020

Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study

Modern deep neural network (DNN) trainings utilize various training tech...

3 Cheng Chen, et al. ∙

research

∙ 10/26/2020

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis

Variance reduction techniques have been successfully applied to temporal...

2 Shaocong Ma, et al. ∙

research

∙ 10/14/2020

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback

Zeroth-order optimization (ZO) typically relies on two-point feedback to...

10 Yan Zhang, et al. ∙

research

∙ 10/03/2020

Unsupervised Cross-lingual Image Captioning

Most recent image captioning works are conducted in English as the major...

0 Jiahui Gao, et al. ∙

research

∙ 09/30/2020

Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data

This paper presents a novel framework to build a voice conversion (VC) s...

0 Mingyang Zhang, et al. ∙

research

∙ 09/27/2020

Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Normalization techniques are essential for accelerating the training and...

8 Lei Huang, et al. ∙

research

∙ 09/12/2020

Exploring the Hierarchy in Relation Labels for Scene Graph Generation

By assigning each relationship a single label, current approaches formul...

11 Yi Zhou, et al. ∙

Yi Zhou

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