Search Results for author: Kele Xu

Found 35 papers, 7 papers with code

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles

no code implementations30 Dec 2023 Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Reinforcement learning from human feedback (RLHF) emerges as a promising paradigm for aligning large language models (LLMs).

Uncertainty Quantification

Cheap-fake Detection with LLM using Prompt Engineering

no code implementations5 Jun 2023 Guangyang Wu, Weijie Wu, Xiaohong Liu, Kele Xu, Tianjiao Wan, Wenyi Wang

We enhance the baseline algorithm by incorporating a Large Language Model (LLM), GPT3. 5, as a feature extractor.

Image Captioning Image Generation +3

Biomedical image analysis competitions: The state of current participation practice

no code implementations16 Dec 2022 Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, Alison Noble, Carlos Ortiz de Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne Martel, Carlos Martín-Isla, Bjoern Menze, Chinedu Innocent Nwoye, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Carole Sudre, Kimberlin Van Wijnen, Armine Vardazaryan, Tom Vercauteren, Martin Wagner, Chuanbo Wang, Moi Hoon Yap, Zeyun Yu, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Rina Bao, Chanyeol Choi, Andrew Cohen, Oleh Dzyubachyk, Adrian Galdran, Tianyuan Gan, Tianqi Guo, Pradyumna Gupta, Mahmood Haithami, Edward Ho, Ikbeom Jang, Zhili Li, Zhengbo Luo, Filip Lux, Sokratis Makrogiannis, Dominik Müller, Young-tack Oh, Subeen Pang, Constantin Pape, Gorkem Polat, Charlotte Rosalie Reed, Kanghyun Ryu, Tim Scherr, Vajira Thambawita, Haoyu Wang, Xinliang Wang, Kele Xu, Hung Yeh, Doyeob Yeo, Yixuan Yuan, Yan Zeng, Xin Zhao, Julian Abbing, Jannes Adam, Nagesh Adluru, Niklas Agethen, Salman Ahmed, Yasmina Al Khalil, Mireia Alenyà, Esa Alhoniemi, Chengyang An, Talha Anwar, Tewodros Weldebirhan Arega, Netanell Avisdris, Dogu Baran Aydogan, Yingbin Bai, Maria Baldeon Calisto, Berke Doga Basaran, Marcel Beetz, Cheng Bian, Hao Bian, Kevin Blansit, Louise Bloch, Robert Bohnsack, Sara Bosticardo, Jack Breen, Mikael Brudfors, Raphael Brüngel, Mariano Cabezas, Alberto Cacciola, Zhiwei Chen, Yucong Chen, Daniel Tianming Chen, Minjeong Cho, Min-Kook Choi, Chuantao Xie Chuantao Xie, Dana Cobzas, Julien Cohen-Adad, Jorge Corral Acero, Sujit Kumar Das, Marcela de Oliveira, Hanqiu Deng, Guiming Dong, Lars Doorenbos, Cory Efird, Sergio Escalera, Di Fan, Mehdi Fatan Serj, Alexandre Fenneteau, Lucas Fidon, Patryk Filipiak, René Finzel, Nuno R. Freitas, Christoph M. Friedrich, Mitchell Fulton, Finn Gaida, Francesco Galati, Christoforos Galazis, Chang Hee Gan, Zheyao Gao, Shengbo Gao, Matej Gazda, Beerend Gerats, Neil Getty, Adam Gibicar, Ryan Gifford, Sajan Gohil, Maria Grammatikopoulou, Daniel Grzech, Orhun Güley, Timo Günnemann, Chunxu Guo, Sylvain Guy, Heonjin Ha, Luyi Han, Il Song Han, Ali Hatamizadeh, Tian He, Jimin Heo, Sebastian Hitziger, SeulGi Hong, Seungbum Hong, Rian Huang, Ziyan Huang, Markus Huellebrand, Stephan Huschauer, Mustaffa Hussain, Tomoo Inubushi, Ece Isik Polat, Mojtaba Jafaritadi, SeongHun Jeong, Bailiang Jian, Yuanhong Jiang, Zhifan Jiang, Yueming Jin, Smriti Joshi, Abdolrahim Kadkhodamohammadi, Reda Abdellah Kamraoui, Inha Kang, Junghwa Kang, Davood Karimi, April Khademi, Muhammad Irfan Khan, Suleiman A. Khan, Rishab Khantwal, Kwang-Ju Kim, Timothy Kline, Satoshi Kondo, Elina Kontio, Adrian Krenzer, Artem Kroviakov, Hugo Kuijf, Satyadwyoom Kumar, Francesco La Rosa, Abhi Lad, Doohee Lee, Minho Lee, Chiara Lena, Hao Li, Ling Li, Xingyu Li, Fuyuan Liao, Kuanlun Liao, Arlindo Limede Oliveira, Chaonan Lin, Shan Lin, Akis Linardos, Marius George Linguraru, Han Liu, Tao Liu, Di Liu, Yanling Liu, João Lourenço-Silva, Jingpei Lu, Jiangshan Lu, Imanol Luengo, Christina B. Lund, Huan Minh Luu, Yi Lv, Uzay Macar, Leon Maechler, Sina Mansour L., Kenji Marshall, Moona Mazher, Richard McKinley, Alfonso Medela, Felix Meissen, Mingyuan Meng, Dylan Miller, Seyed Hossein Mirjahanmardi, Arnab Mishra, Samir Mitha, Hassan Mohy-ud-Din, Tony Chi Wing Mok, Gowtham Krishnan Murugesan, Enamundram Naga Karthik, Sahil Nalawade, Jakub Nalepa, Mohamed Naser, Ramin Nateghi, Hammad Naveed, Quang-Minh Nguyen, Cuong Nguyen Quoc, Brennan Nichyporuk, Bruno Oliveira, David Owen, Jimut Bahan Pal, Junwen Pan, Wentao Pan, Winnie Pang, Bogyu Park, Vivek Pawar, Kamlesh Pawar, Michael Peven, Lena Philipp, Tomasz Pieciak, Szymon Plotka, Marcel Plutat, Fattaneh Pourakpour, Domen Preložnik, Kumaradevan Punithakumar, Abdul Qayyum, Sandro Queirós, Arman Rahmim, Salar Razavi, Jintao Ren, Mina Rezaei, Jonathan Adam Rico, ZunHyan Rieu, Markus Rink, Johannes Roth, Yusely Ruiz-Gonzalez, Numan Saeed, Anindo Saha, Mostafa Salem, Ricardo Sanchez-Matilla, Kurt Schilling, Wei Shao, Zhiqiang Shen, Ruize Shi, Pengcheng Shi, Daniel Sobotka, Théodore Soulier, Bella Specktor Fadida, Danail Stoyanov, Timothy Sum Hon Mun, Xiaowu Sun, Rong Tao, Franz Thaler, Antoine Théberge, Felix Thielke, Helena Torres, Kareem A. Wahid, Jiacheng Wang, Yifei Wang, Wei Wang, Xiong Wang, Jianhui Wen, Ning Wen, Marek Wodzinski, Ye Wu, Fangfang Xia, Tianqi Xiang, Chen Xiaofei, Lizhan Xu, Tingting Xue, Yuxuan Yang, Lin Yang, Kai Yao, Huifeng Yao, Amirsaeed Yazdani, Michael Yip, Hwanseung Yoo, Fereshteh Yousefirizi, Shunkai Yu, Lei Yu, Jonathan Zamora, Ramy Ashraf Zeineldin, Dewen Zeng, Jianpeng Zhang, Bokai Zhang, Jiapeng Zhang, Fan Zhang, Huahong Zhang, Zhongchen Zhao, Zixuan Zhao, Jiachen Zhao, Can Zhao, Qingshuo Zheng, Yuheng Zhi, Ziqi Zhou, Baosheng Zou, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Of these, 84% were based on standard architectures.

Benchmarking

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration

no code implementations24 Aug 2022 Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

The curiosity arouses if memorized information can not deal with the current state, and the information gap between dual learners can be formulated as the intrinsic reward for agents, and then such state information can be consolidated into the dynamic memory.

Reinforcement Learning (RL)

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning

no code implementations24 Aug 2022 Zijian Gao, Kele Xu, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

Our method involves training a self-supervised prediction model, saving snapshots of the model parameters, and using nuclear norm to evaluate the temporal inconsistency between the predictions of different snapshots as intrinsic rewards.

reinforcement-learning Reinforcement Learning (RL)

Trusted Multi-Scale Classification Framework for Whole Slide Image

no code implementations12 Jul 2022 Ming Feng, Kele Xu, Nanhui Wu, Weiquan Huang, Yan Bai, Changjian Wang, Huaimin Wang

Leveraging the Vision Transformer as the backbone for multi branches, our framework can jointly classification modeling, estimating the uncertainty of each magnification of a microscope and integrate the evidence from different magnification.

Classification

Nuclear Norm Maximization Based Curiosity-Driven Learning

no code implementations21 May 2022 Chao Chen, Zijian Gao, Kele Xu, Sen yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

To handle the sparsity of the extrinsic rewards in reinforcement learning, researchers have proposed intrinsic reward which enables the agent to learn the skills that might come in handy for pursuing the rewards in the future, such as encouraging the agent to visit novel states.

Atari Games

Multi-task Pre-training Language Model for Semantic Network Completion

1 code implementation13 Jan 2022 Da Li, Sen yang, Kele Xu, Ming Yi, Yukai He, Huaimin Wang

To demonstrate the effectiveness of our method, we conduct extensive experiments on three widely-used datasets, WN18RR, FB15k-237, and UMLS.

Contrastive Learning Data Augmentation +3

Multimodal Feature Fusion for Video Advertisements Tagging Via Stacking Ensemble

no code implementations2 Aug 2021 Qingsong Zhou, Hai Liang, Zhimin Lin, Kele Xu

Automated tagging of video advertisements has been a critical yet challenging problem, and it has drawn increasing interests in last years as its applications seem to be evident in many fields.

FINT: Field-aware INTeraction Neural Network For CTR Prediction

1 code implementation5 Jul 2021 Zhishan Zhao, Sen yang, Guohui Liu, Dawei Feng, Kele Xu

As a critical component for online advertising and marking, click-through rate (CTR) prediction has draw lots of attentions from both industry and academia field.

Click-Through Rate Prediction

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning

no code implementations25 May 2021 Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

In this paper, we present an adaptation method of the majority of multi-agent reinforcement learning (MARL) algorithms called KnowSR which takes advantage of the differences in learning between agents.

Knowledge Distillation Multi-agent Reinforcement Learning +2

KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning

no code implementations27 Mar 2021 Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

In this paper, we propose a method, named "KnowRU" for knowledge reusing which can be easily deployed in the majority of the multi-agent reinforcement learning algorithms without complicated hand-coded design.

Knowledge Distillation Multi-agent Reinforcement Learning +2

Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image

no code implementations27 Jan 2021 Kele Xu, Tamas Gábor Csapó, Ming Feng

Ultrasound tongue imaging is widely used for speech production research, and it has attracted increasing attention as its potential applications seem to be evident in many different fields, such as the visual biofeedback tool for second language acquisition and silent speech interface.

Age Estimation Language Acquisition

Quantification of Transducer Misalignment in Ultrasound Tongue Imaging

1 code implementation6 Aug 2020 Tamás Gábor Csapó, Kele Xu

Ultrasound is an affordable and non-invasive imaging modality with relatively high temporal and spatial resolution to study the dynamic behavior of tongue during speech production.

Audio and Speech Processing Sound

Audio Tagging by Cross Filtering Noisy Labels

no code implementations16 Jul 2020 Boqing Zhu, Kele Xu, Qiuqiang Kong, Huaimin Wang, Yuxing Peng

Yet, it is labor-intensive to accurately annotate large amount of audio data, and the dataset may contain noisy labels in the practical settings.

Audio Tagging Memorization +1

Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems

no code implementations5 Oct 2019 Mingyang Geng, Kele Xu, Yiying Li, Shuqi Liu, Bo Ding, Huaimin Wang

The aim of multi-agent reinforcement learning systems is to provide interacting agents with the ability to collaboratively learn and adapt to the behavior of other agents.

Multi-agent Reinforcement Learning reinforcement-learning +1

Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network

1 code implementation19 Feb 2019 Chaojie Zhao, Peng Zhang, Jian Zhu, Chengrui Wu, Huaimin Wang, Kele Xu

A challenge in speech production research is to predict future tongue movements based on a short period of past tongue movements.

motion prediction

Learning data augmentation policies using augmented random search

no code implementations12 Nov 2018 Mingyang Geng, Kele Xu, Bo Ding, Huaimin Wang, Lei Zhang

AutoAugment searches for the augmentation polices in the discrete search space, which may lead to a sub-optimal solution.

Data Augmentation reinforcement-learning +1

Collaborative Deep Learning Across Multiple Data Centers

no code implementations16 Oct 2018 Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan

Valuable training data is often owned by independent organizations and located in multiple data centers.

Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network

no code implementations12 Jun 2018 Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou

In this paper, we explore the use of multi-scale Dense connected convolutional neural network (DenseNet) for the classification task, with the goal to improve the classification performance as multi-scale features can be extracted from the time-frequency representation of the audio signal.

Acoustic Scene Classification Classification +3

Multi-Scale DenseNet-Based Electricity Theft Detection

no code implementations24 May 2018 Bo Li, Kele Xu, Xiaoyan Cui, Yiheng Wang, Xinbo Ai, Yanbo Wang

We compare the proposed approaches with the classical algorithms, and the experimental results demonstrate that the multiscale DenseNet approach can significantly improve the accuracy of the detection.

Feature Engineering

Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network

no code implementations18 May 2018 Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu

Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years.

Acoustic Scene Classification Classification +2

Full-reference image quality assessment-based B-mode ultrasound image similarity measure

no code implementations10 Jan 2017 Kele Xu, Xi Liu, Hengxing Cai, Zhifeng Gao

During the last decades, the number of new full-reference image quality assessment algorithms has been increasing drastically.

Image Quality Assessment

Tongue contour extraction from ultrasound images based on deep neural network

no code implementations19 May 2016 Aurore Jaumard-Hakoun, Kele Xu, Pierre Roussel-Ragot, Gérard Dreyfus, Bruce Denby

In this paper, we use an automatic labelling algorithm instead of time-consuming hand-labelling during the training process, and estimate the performances of both automatic labelling and contour extraction as compared to hand-labelling.

Development of a 3D tongue motion visualization platform based on ultrasound image sequences

no code implementations19 May 2016 Kele Xu, Yin Yang, Aurore Jaumard-Hakoun, Clemence Leboullenger, Gerard Dreyfus, Pierre Roussel, Maureen Stone, Bruce Denby

This article describes the development of a platform designed to visualize the 3D motion of the tongue using ultrasound image sequences.

Contour-based 3d tongue motion visualization using ultrasound image sequences

no code implementations19 May 2016 Kele Xu, Yin Yang, Clémence Leboullenger, Pierre Roussel, Bruce Denby

This article describes a contour-based 3D tongue deformation visualization framework using B-mode ultrasound image sequences.

speech-recognition Speech Recognition

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