no code implementations • SemEval (NAACL) 2022 • Yangkun Lin, Chen Liang, Jing Xu, Chong Yang, Yongliang Wang
This paper presents our submission to task 10, Structured Sentiment Analysis of the SemEval 2022 competition.
1 code implementation • 31 May 2024 • Jing Xu, Anqi Zhu, Jingyu Lin, Qiuhong Ke, Cunjian Chen
Human action recognition is a crucial task in computer vision systems.
no code implementations • 15 May 2024 • Fangwei Hao, Jiesheng Wu, Haotian Lu, Ji Du, Jing Xu
However, existing lightweight super-resolution (SR) methods seldom pay attention to designing efficient building block with multi-scale receptive field for local modeling, and their LKA modules face a quadratic increase in computational and memory footprints as the convolutional kernel size increases.
no code implementations • 12 May 2024 • Jing Xu, Wentao Shi, Sheng Ren, Pan Gao, Peng Zhou, Jie Qin
In the field of transportation, it is of paramount importance to address and mitigate illegal actions committed by both motor and non-motor vehicles.
no code implementations • 9 May 2024 • Miaomiao Shen, Linxuan Yu, Jing Xu, Zihao Sang, Ruijia Li, Xiang Yuan
Autonomous vehicles (AVs) have begun experimental commercialization initiatives in places such as Shanghai, China, and it is a valuable research question whether people's willingness to use AVs has changed from the prior.
no code implementations • 9 May 2024 • Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang
User-friendly 3D object editing is a challenging task that has attracted significant attention recently.
1 code implementation • 4 May 2024 • Jing Xu, Jingzhao Zhang
This paper studies the limit of PEFT, by further simplifying its design and reducing the number of trainable parameters beyond standard setups.
1 code implementation • 26 Apr 2024 • Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su
Manipulating unseen articulated objects through visual feedback is a critical but challenging task for real robots.
no code implementations • 2 Apr 2024 • Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok Choe, Jeesung Han, Youngkyun Jin, Hyein Jun, Jaeseung Jung, Chanwoong Kim, jinhong Kim, Jinuk Kim, Dokyeong Lee, Dongwook Park, Jeong Min Sohn, Sujung Han, Jiae Heo, Sungju Hong, Mina Jeon, Hyunhoon Jung, Jungeun Jung, Wangkyo Jung, Chungjoon Kim, Hyeri Kim, Jonghyun Kim, Min Young Kim, Soeun Lee, Joonhee Park, Jieun Shin, Sojin Yang, Jungsoon Yoon, Hwaran Lee, Sanghwan Bae, Jeehwan Cha, Karl Gylleus, Donghoon Ham, Mihak Hong, Youngki Hong, Yunki Hong, Dahyun Jang, Hyojun Jeon, Yujin Jeon, Yeji Jeong, Myunggeun Ji, Yeguk Jin, Chansong Jo, Shinyoung Joo, Seunghwan Jung, Adrian Jungmyung Kim, Byoung Hoon Kim, Hyomin Kim, Jungwhan Kim, Minkyoung Kim, Minseung Kim, Sungdong Kim, Yonghee Kim, Youngjun Kim, Youngkwan Kim, Donghyeon Ko, Dughyun Lee, Ha Young Lee, Jaehong Lee, Jieun Lee, Jonghyun Lee, Jongjin Lee, Min Young Lee, Yehbin Lee, Taehong Min, Yuri Min, Kiyoon Moon, Hyangnam Oh, Jaesun Park, Kyuyon Park, Younghun Park, Hanbae Seo, Seunghyun Seo, Mihyun Sim, Gyubin Son, Matt Yeo, Kyung Hoon Yeom, Wonjoon Yoo, Myungin You, Doheon Ahn, Homin Ahn, Joohee Ahn, Seongmin Ahn, Chanwoo An, Hyeryun An, Junho An, Sang-Min An, Boram Byun, Eunbin Byun, Jongho Cha, Minji Chang, Seunggyu Chang, Haesong Cho, Youngdo Cho, Dalnim Choi, Daseul Choi, Hyoseok Choi, Minseong Choi, Sangho Choi, Seongjae Choi, Wooyong Choi, Sewhan Chun, Dong Young Go, Chiheon Ham, Danbi Han, Jaemin Han, Moonyoung Hong, Sung Bum Hong, Dong-Hyun Hwang, Seongchan Hwang, Jinbae Im, Hyuk Jin Jang, Jaehyung Jang, Jaeni Jang, Sihyeon Jang, Sungwon Jang, Joonha Jeon, Daun Jeong, JoonHyun Jeong, Kyeongseok Jeong, Mini Jeong, Sol Jin, Hanbyeol Jo, Hanju Jo, Minjung Jo, Chaeyoon Jung, Hyungsik Jung, Jaeuk Jung, Ju Hwan Jung, Kwangsun Jung, Seungjae Jung, Soonwon Ka, Donghan Kang, Soyoung Kang, Taeho Kil, Areum Kim, Beomyoung Kim, Byeongwook Kim, Daehee Kim, Dong-Gyun Kim, Donggook Kim, Donghyun Kim, Euna Kim, Eunchul Kim, Geewook Kim, Gyu Ri Kim, Hanbyul Kim, Heesu Kim, Isaac Kim, Jeonghoon Kim, JiHye Kim, Joonghoon Kim, Minjae Kim, Minsub Kim, Pil Hwan Kim, Sammy Kim, Seokhun Kim, Seonghyeon Kim, Soojin Kim, Soong Kim, Soyoon Kim, Sunyoung Kim, TaeHo Kim, Wonho Kim, Yoonsik Kim, You Jin Kim, Yuri Kim, Beomseok Kwon, Ohsung Kwon, Yoo-Hwan Kwon, Anna Lee, Byungwook Lee, Changho Lee, Daun Lee, Dongjae Lee, Ha-Ram Lee, Hodong Lee, Hwiyeong Lee, Hyunmi Lee, Injae Lee, Jaeung Lee, Jeongsang Lee, Jisoo Lee, JongSoo Lee, Joongjae Lee, Juhan Lee, Jung Hyun Lee, Junghoon Lee, Junwoo Lee, Se Yun Lee, Sujin Lee, Sungjae Lee, Sungwoo Lee, Wonjae Lee, Zoo Hyun Lee, Jong Kun Lim, Kun Lim, Taemin Lim, Nuri Na, Jeongyeon Nam, Kyeong-Min Nam, Yeonseog Noh, Biro Oh, Jung-Sik Oh, Solgil Oh, Yeontaek Oh, Boyoun Park, Cheonbok Park, Dongju Park, Hyeonjin Park, Hyun Tae Park, Hyunjung Park, JiHye Park, Jooseok Park, JungHwan Park, Jungsoo Park, Miru Park, Sang Hee Park, Seunghyun Park, Soyoung Park, Taerim Park, Wonkyeong Park, Hyunjoon Ryu, Jeonghun Ryu, Nahyeon Ryu, Soonshin Seo, Suk Min Seo, Yoonjeong Shim, Kyuyong Shin, Wonkwang Shin, Hyun Sim, Woongseob Sim, Hyejin Soh, Bokyong Son, Hyunjun Son, Seulah Son, Chi-Yun Song, Chiyoung Song, Ka Yeon Song, Minchul Song, Seungmin Song, Jisung Wang, Yonggoo Yeo, Myeong Yeon Yi, Moon Bin Yim, Taehwan Yoo, Youngjoon Yoo, Sungmin Yoon, Young Jin Yoon, Hangyeol Yu, Ui Seon Yu, Xingdong Zuo, Jeongin Bae, Joungeun Bae, Hyunsoo Cho, Seonghyun Cho, Yongjin Cho, Taekyoon Choi, Yera Choi, Jiwan Chung, Zhenghui Han, Byeongho Heo, Euisuk Hong, Taebaek Hwang, Seonyeol Im, Sumin Jegal, Sumin Jeon, Yelim Jeong, Yonghyun Jeong, Can Jiang, Juyong Jiang, Jiho Jin, Ara Jo, Younghyun Jo, Hoyoun Jung, Juyoung Jung, Seunghyeong Kang, Dae Hee Kim, Ginam Kim, Hangyeol Kim, Heeseung Kim, Hyojin Kim, Hyojun Kim, Hyun-Ah Kim, Jeehye Kim, Jin-Hwa Kim, Jiseon Kim, Jonghak Kim, Jung Yoon Kim, Rak Yeong Kim, Seongjin Kim, Seoyoon Kim, Sewon Kim, Sooyoung Kim, Sukyoung Kim, Taeyong Kim, Naeun Ko, Bonseung Koo, Heeyoung Kwak, Haena Kwon, Youngjin Kwon, Boram Lee, Bruce W. Lee, Dagyeong Lee, Erin Lee, Euijin Lee, Ha Gyeong Lee, Hyojin Lee, Hyunjeong Lee, Jeeyoon Lee, Jeonghyun Lee, Jongheok Lee, Joonhyung Lee, Junhyuk Lee, Mingu Lee, Nayeon Lee, Sangkyu Lee, Se Young Lee, Seulgi Lee, Seung Jin Lee, Suhyeon Lee, Yeonjae Lee, Yesol Lee, Youngbeom Lee, Yujin Lee, Shaodong Li, Tianyu Liu, Seong-Eun Moon, Taehong Moon, Max-Lasse Nihlenramstroem, Wonseok Oh, Yuri Oh, Hongbeen Park, Hyekyung Park, Jaeho Park, Nohil Park, Sangjin Park, Jiwon Ryu, Miru Ryu, Simo Ryu, Ahreum Seo, Hee Seo, Kangdeok Seo, Jamin Shin, Seungyoun Shin, Heetae Sin, Jiangping Wang, Lei Wang, Ning Xiang, Longxiang Xiao, Jing Xu, Seonyeong Yi, Haanju Yoo, Haneul Yoo, Hwanhee Yoo, Liang Yu, Youngjae Yu, Weijie Yuan, Bo Zeng, Qian Zhou, Kyunghyun Cho, Jung-Woo Ha, Joonsuk Park, Jihyun Hwang, Hyoung Jo Kwon, Soonyong Kwon, Jungyeon Lee, Seungho Lee, Seonghyeon Lim, Hyunkyung Noh, Seungho Choi, Sang-Woo Lee, Jung Hwa Lim, Nako Sung
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding.
no code implementations • 8 Mar 2024 • Jing Xu, Yongbo Zhang
For purpose of complete the above tasks, this paper investigates the use of Long Short-Term Memory (LSTM) algorithms for quality prediction in material equipment based on key inspection parameters.
no code implementations • 8 Mar 2024 • Jing Xu, Yongbo Zhang
Given the above problems, this paper aims to mine the relationship between the unqualified distribution transformer inspection items by using the association rule algorithm based on the distribution transformer inspection data collected from 2017 to 2021 and sorting out the key inspection items.
no code implementations • 8 Mar 2024 • Jing Xu, Yongbo Zhang
For purpose of complete the above tasks, this paper investigates the use of Long Short-Term Memory (LSTM) algorithms for quality prediction in material equipment based on key inspection parameters.
1 code implementation • 23 Feb 2024 • Haodong Zhao, Ruifang He, Mengnan Xiao, Jing Xu
First, we leverage parameter-efficient prompt tuning to drive the inputted arguments to match the pre-trained space and realize the approximation with few parameters.
1 code implementation • 18 Feb 2024 • Jing Xu, Beiwen Tian, Hao Zhao
In this paper, we introduce a novel algorithm named Key Patch Proposer (KPP) designed to select key patches in an image without additional training.
1 code implementation • 27 Jan 2024 • Hongkun Sun, Jing Xu, Yuping Duan
The convolutional neural network-based methods have become more and more popular for medical image segmentation due to their outstanding performance.
Ranked #8 on Medical Image Segmentation on Synapse multi-organ CT (using extra training data)
3 code implementations • 18 Jan 2024 • Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston
We posit that to achieve superhuman agents, future models require superhuman feedback in order to provide an adequate training signal.
no code implementations • 27 Dec 2023 • Jing Xu, Andrew Lee, Sainbayar Sukhbaatar, Jason Weston
Practitioners commonly align large language models using pairwise preferences, i. e., given labels of the type response A is preferred to response B for a given input.
no code implementations • 12 Dec 2023 • Jing Xu
Even compared with nnUNet, the best entirely convoluted medical image segmentation network, the performance of MS-Twins on Synapse and ACDC still has a bit advantage.
no code implementations • 28 Nov 2023 • Haocheng Yuan, Jing Xu, Hao Pan, Adrien Bousseau, Niloy J. Mitra, Changjian Li
CAD programs are a popular way to compactly encode shapes as a sequence of operations that are easy to parametrically modify.
no code implementations • 21 Nov 2023 • Jing Xu
Therefore, we proposed a general method that can solve unknown medical image segmentation tasks without requiring additional training.
no code implementations • 13 Nov 2023 • Bart Pleiter, Behrad Tajalli, Stefanos Koffas, Gorka Abad, Jing Xu, Martha Larson, Stjepan Picek
Deep Neural Networks (DNNs) have shown great promise in various domains.
no code implementations • 29 Sep 2023 • Wenjie Liu, Jing Xu, Bosi Wang
To solve the above problems, a difference-driven reinforcement learning (RL) algorithm for quantum state preparation of two-qubit system is proposed by improving the reward function and action selection strategy.
1 code implementation • 20 Sep 2023 • Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston
Generation of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in large language models.
no code implementations • 18 Sep 2023 • Liuyu Bian, Pengyang Shi, Weihang Chen, Jing Xu, Li Yi, Rui Chen
By approximating and optimizing the utility function, we can optimize the probing locations given a fixed touching budget to better improve the network's performance on real objects.
no code implementations • 4 Aug 2023 • Marco Arazzi, Mauro Conti, Stefanos Koffas, Marina Krcek, Antonino Nocera, Stjepan Picek, Jing Xu
In this work, we are the first (to the best of our knowledge) to investigate label inference attacks on VFL using a zero-background knowledge strategy.
no code implementations • 17 Jul 2023 • Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang
Skin diseases are among the most prevalent health issues, and accurate computer-aided diagnosis methods are of importance for both dermatologists and patients.
no code implementations • 6 Jul 2023 • Mounica Maddela, Megan Ung, Jing Xu, Andrea Madotto, Heather Foran, Y-Lan Boureau
Many cognitive approaches to well-being, such as recognizing and reframing unhelpful thoughts, have received considerable empirical support over the past decades, yet still lack truly widespread adoption in self-help format.
no code implementations • 3 Jul 2023 • Kang Yi, Jing Xu, Xiao Jin, Fu Guo, Yan-Feng Wu
Specifically, we design a high-order spatial fusion (HOSF) module and a high-order channel fusion (HOCF) module to fuse features of the first two and the last two stages, respectively.
no code implementations • 15 Jun 2023 • Xiao Jin, Xin-Yue Mu, Jing Xu
The cross-dataset search is also considered to develop more general architectures.
no code implementations • 7 Jun 2023 • Jing Xu, Da Ju, Joshua Lane, Mojtaba Komeili, Eric Michael Smith, Megan Ung, Morteza Behrooz, William Ngan, Rashel Moritz, Sainbayar Sukhbaatar, Y-Lan Boureau, Jason Weston, Kurt Shuster
We present BlenderBot 3x, an update on the conversational model BlenderBot 3, which is now trained using organic conversation and feedback data from participating users of the system in order to improve both its skills and safety.
no code implementations • 6 Jun 2023 • Jing Xu, Haoxiong Liu
The recently discovered Neural Collapse (NC) phenomenon provides a new perspective of understanding such last layer geometry of neural networks.
1 code implementation • 23 May 2023 • Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar
Dialogue systems are frequently updated to accommodate new services, but naively updating them by continually training with data for new services in diminishing performance on previously learnt services.
no code implementations • 5 Apr 2023 • Jing Xu, Gorka Abad, Stjepan Picek
There is no work analyzing and explaining the backdoor attack performance when injecting triggers into the most important or least important area in the sample, which we refer to as trigger-injecting strategies MIAS and LIAS, respectively.
no code implementations • 20 Feb 2023 • Jing Xu, Shuo Wang, Na Ying, Xiao Xiao, Jiang Zhang, Yun Cheng, Zhiling Jin, Gangfeng Zhang
Previous GCNs-based methods usually require providing spatial correlation graph structure of observation sites in advance.
no code implementations • 16 Feb 2023 • Jing Xu, Dandan song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie
In this paper, we propose a Dialogue State Distillation Network (DSDN) to utilize relevant information of previous dialogue states and migrate the gap of utilization between training and testing.
no code implementations • 3 Feb 2023 • Gorka Abad, Jing Xu, Stefanos Koffas, Behrad Tajalli, Stjepan Picek, Mauro Conti
Nevertheless, it is vulnerable to backdoor attacks that modify the training set to embed a secret functionality in the trained model.
2 code implementations • 28 Jan 2023 • Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song
Few-shot classification consists of a training phase where a model is learned on a relatively large dataset and an adaptation phase where the learned model is adapted to previously-unseen tasks with limited labeled samples.
no code implementations • 16 Jan 2023 • Lesi Chen, Jing Xu, Luo Luo
We consider the optimization problem of the form $\min_{x \in \mathbb{R}^d} f(x) \triangleq \mathbb{E}_{\xi} [F(x; \xi)]$, where the component $F(x;\xi)$ is $L$-mean-squared Lipschitz but possibly nonconvex and nonsmooth.
no code implementations • 2 Jan 2023 • Lesi Chen, Jing Xu, Jingzhao Zhang
Bilevel optimization reveals the inner structure of otherwise oblique optimization problems, such as hyperparameter tuning, neural architecture search, and meta-learning.
no code implementations • 25 Dec 2022 • Wei-Yun Liang, Jing Xu, Xiao Jin
In this paper, we propose a tripartite progressive integration network (TriPINet) for end-to-end image manipulation localization.
1 code implementation • 25 Nov 2022 • Jing Xu, Wentao Shi, Pan Gao, Zhengwei Wang, Qizhu Li
On the more challenging ADE20K dataset, our best model yields a single-scale mIoU of 50. 18, and a multi-scale mIoU of 51. 8, which is on-par with the current state-of-art model, while we drastically cut the number of FLOPs by 53. 5%.
no code implementations • 10 Nov 2022 • Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston
Standard language model training employs gold human documents or human-human interaction data, and treats all training data as positive examples.
2 code implementations • 30 Oct 2022 • Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu
In this paper, we find that this problem usually occurs when the positions of support samples are in the vicinity of task centroid -- the mean of all class centroids in the task.
no code implementations • 28 Oct 2022 • Weiyan Shi, Emily Dinan, Kurt Shuster, Jason Weston, Jing Xu
Deployed dialogue agents have the potential to integrate human feedback to continuously improve themselves.
1 code implementation • 8 Oct 2022 • Yun Liu, Xiaomeng Xu, Weihang Chen, Haocheng Yuan, He Wang, Jing Xu, Rui Chen, Li Yi
When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose.
1 code implementation • COLING 2022 • Changzhi Zhou, Dandan song, Jing Xu, Zhijing Wu
Our framework can model complicated relations between emotions and causes while avoiding generating the pairing matrix (the leading cause of the label sparsity problem).
2 code implementations • 5 Aug 2022 • Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston
We present BlenderBot 3, a 175B parameter dialogue model capable of open-domain conversation with access to the internet and a long-term memory, and having been trained on a large number of user defined tasks.
no code implementations • 5 Aug 2022 • Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau, Jason Weston
We then study various algorithms for improving from such feedback, including standard supervised learning, rejection sampling, model-guiding and reward-based learning, in order to make recommendations on which type of feedback and algorithms work best.
no code implementations • 5 Aug 2022 • Da Ju, Jing Xu, Y-Lan Boureau, Jason Weston
The promise of interaction between intelligent conversational agents and humans is that models can learn from such feedback in order to improve.
1 code implementation • 3 Aug 2022 • Wentao Shi, Jing Xu, Pan Gao
It is well believed that Transformer performs better in semantic segmentation compared to convolutional neural networks.
no code implementations • 27 Jul 2022 • Mauro Conti, Jiaxin Li, Stjepan Picek, Jing Xu
Even in those scenarios, our label-only MIA achieves a better attack performance in most cases.
1 code implementation • 16 Jun 2022 • Xu Luo, Jing Xu, Zenglin Xu
When facing novel few-shot tasks in the test-time datasets, this transformation can greatly improve the generalization ability of learned image representations, while being agnostic to the choice of training algorithms and datasets.
1 code implementation • 4 Mar 2022 • Jing Xu, Wei zhang, Yalong Bai, Qibin Sun, Tao Mei
Motivated by studies in linguistics, we decompose the co-speech motion into two complementary parts: pose modes and rhythmic dynamics.
no code implementations • 17 Feb 2022 • Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
Few-shot learning aims to classify unseen classes with only a limited number of labeled data.
no code implementations • 7 Feb 2022 • Jing Xu, Rui Wang, Stefanos Koffas, Kaitai Liang, Stjepan Picek
To further explore the properties of two backdoor attacks in Federated GNNs, we evaluate the attack performance for a different number of clients, trigger sizes, poisoning intensities, and trigger densities.
no code implementations • 23 Dec 2021 • Chen Liang, Chong Yang, Jing Xu, Juyang Huang, Yongliang Wang, Yang Dong
Emotion recognition in conversation (ERC) has attracted much attention in recent years for its necessity in widespread applications.
Ranked #1 on Emotion Recognition in Conversation on DailyDialog
no code implementations • 14 Dec 2021 • Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu
To alleviate this problem, we present a simple yet effective feature rectification method by exploring the category correlation between novel and base classes as the prior knowledge.
no code implementations • 21 Oct 2021 • Jing Xu, Stefanos Koffas, Oguzhan Ersoy, Stjepan Picek
The experiments show that our framework can verify the ownership of GNN models with a very high probability (up to $99\%$) for both tasks.
1 code implementation • NeurIPS 2021 • Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang
With ToM, each agent is capable of inferring the mental states and intentions of others according to its (local) observation.
no code implementations • ACL 2022 • Megan Ung, Jing Xu, Y-Lan Boureau
Current open-domain conversational models can easily be made to talk in inadequate ways.
no code implementations • 10 Sep 2021 • Zongtao Liu, Jing Xu, Jintao Su, Tao Xiao, Yang Yang
We propose a novel combination of a variant beam search algorithm and a learned heuristic for solving the general orienteering problem.
1 code implementation • 17 Aug 2021 • Yu Qiu, Yun Liu, Le Zhang, Jing Xu
The asymmetric bilateral encoder has a transformer path and a lightweight CNN path, where the two paths communicate at each encoder stage to learn complementary global contexts and local spatial details, respectively.
no code implementations • ACL 2021 • Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan song, Jing Xu, Guoxiu He, Meihuizi Jia
Although the existing Named Entity Recognition (NER) models have achieved promising performance, they suffer from certain drawbacks.
no code implementations • 30 Jul 2021 • Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek
This work explores backdoor attacks for automatic speech recognition systems where we inject inaudible triggers.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 22 Jul 2021 • YuFei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang
The large-scale OCTA dataset is available at https://doi. org/10. 5281/zenodo. 5111975, https://doi. org/10. 5281/zenodo. 5111972.
no code implementations • ACL 2022 • Jing Xu, Arthur Szlam, Jason Weston
Despite recent improvements in open-domain dialogue models, state of the art models are trained and evaluated on short conversations with little context.
2 code implementations • 21 Jun 2021 • Jing Xu, Sen Wang, LiWei Wang, Andrew Chi-Chih Yao
Federated Learning is a distributed machine learning approach which enables model training without data sharing.
1 code implementation • 17 Jun 2021 • Lucas Caccia, Jing Xu, Myle Ott, Marc'Aurelio Ranzato, Ludovic Denoyer
Practitioners have then to decide how to allocate their computational budget in order to obtain the best performance at any point in time.
no code implementations • NAACL 2021 • Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan
Conversational agents trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior.
no code implementations • 28 May 2021 • Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
For the spatial correlation, we aggregate attributes with spatial similarity into a part-based group and then introduce a Group Attention Learning to generate the group attention and the part-based group feature.
no code implementations • 10 May 2021 • Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, WenXiang Lin, Kun Bai, Zenglin Xu
Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks including image classification.
no code implementations • 17 Apr 2021 • Jing Xu, Yu Tian, Shuai Yuan, Naijin Liu
In this paper, a noise attention method is proposed for unsupervised spectrum anomaly detection in unauthorized bands.
no code implementations • 8 Apr 2021 • Jing Xu, Minhui, Xue, Stjepan Picek
Backdoor attacks represent a serious threat to neural network models.
no code implementations • 17 Feb 2021 • Haofan Yang, Jing Xu, Zhongfei Xiong, Xinda Lu, Ruo-Yang Zhang, Yuntian Chen, Shuang Zhang
In optics, various photonic topological circuits have been developed, which were based on classical emulation of either quantum spin Hall effect or quantum valley Hall effect.
Optics
1 code implementation • 25 Jan 2021 • Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai
Deep Convolutional Neural Networks (DCNNs) and their variants have been widely used in large scale face recognition(FR) recently.
no code implementations • 21 Jan 2021 • Yang-Yang Lyu, Xian-Jing Zhou, Zhi-Li Xiao, Roxanna Fotovat, Jing Xu, Gobind Basnet, Yong-Lei Wang, Dafei Jin, Ralu Divan, Hua-Bing Wang, Wai-Kwong Kwok
Negative longitudinal magnetoresistance (NLMR) has been reported in a variety of materials and has attracted extensive attention as an electrotransport hallmark of topological Weyl semimetals.
Materials Science Mesoscale and Nanoscale Physics
14 code implementations • 3 Jan 2021 • Jing Xu, Yu Pan, Xinglin Pan, Steven Hoi, Zhang Yi, Zenglin Xu
The ResNet and its variants have achieved remarkable successes in various computer vision tasks.
Ranked #3 on Medical Image Classification on NCT-CRC-HE-100K
no code implementations • 1 Jan 2021 • Xinglin Pan, Jing Xu, Yu Pan, WenXiang Lin, Liangjian Wen, Zenglin Xu
Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks, e. g., image classification.
no code implementations • 1 Jan 2021 • Jing Xu, Zhouxing Shi, huan zhang, JinFeng Yi, Cho-Jui Hsieh, LiWei Wang
We also demonstrate that the perturbation budget generator can produce semantically-meaningful budgets, which implies that the generator can capture contextual information and the sensitivity of different features in a given image.
1 code implementation • NeurIPS 2020 • Jing Xu, Fangwei Zhong, Yizhou Wang
Maximum target coverage by adjusting the orientation of distributed sensors is an important problem in directional sensor networks (DSNs).
no code implementations • 14 Oct 2020 • Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan
Models trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior and unwanted biases.
no code implementations • 28 Sep 2020 • Jie Yang, Jing Xu, Xiao Li, Shi Jin, Bo Gao
As the fifth-generation (5G) mobile communication system is being commercialized, extensive studies on the evolution of 5G and sixth-generation mobile communication systems have been conducted.
no code implementations • 4 Aug 2020 • Shimin Gong, Yuze Zou, Jing Xu, Dinh Thai Hoang, Bin Lyu, Dusit Niyato
In this paper, we employ multiple wireless-powered relays to assist information transmission from a multi-antenna access point to a single-antenna receiver.
no code implementations • 12 May 2020 • Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu
Many complex network structures are proposed recently and many of them concentrate on multi-branch features to achieve high performance.
7 code implementations • EACL 2021 • Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, Jason Weston
Building open-domain chatbots is a challenging area for machine learning research.
1 code implementation • 21 Apr 2020 • Yu Qiu, Yun Liu, Shijie Li, Jing Xu
On the other hand, fast training/testing and low computational cost are also necessary for quick deployment and development of COVID-19 screening systems, but traditional deep learning methods are usually computationally intensive.
no code implementations • 15 Jan 2020 • Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang
In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images.
1 code implementation • 31 Oct 2019 • Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su
Grasping is among the most fundamental and long-lasting problems in robotics study.
1 code implementation • ICCV 2019 • Rui Chen, Songfang Han, Jing Xu, Hao Su
More specifically, our method predicts the depth in a coarse-to-fine manner.
1 code implementation • NIPS Workshop CDNNRIA 2018 • Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in sequential data modeling.
no code implementations • 17 Aug 2018 • Yongshuai Jiang, Jing Xu, Simeng Hu, Di Liu, Linna Zhao, Xu Zhou
Function transformation, such as f(x, y) and f(x, y, z), can transform two, three, or multiple input/observation variables (in biology, it generally refers to the observed/measured value of biomarkers, biological characteristics, or other indicators) into a new output variable (new characteristics or indicators).
no code implementations • CVPR 2018 • Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang
AACN consists of two main components: Pose-guided Part Attention (PPA) and Attention-aware Feature Composition (AFC).
no code implementations • 30 May 2016 • Baoli Shi, Zhi-Feng Pang, Jing Xu
The performance of image segmentation highly relies on the original inputting image.
no code implementations • 3 Feb 2015 • Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu
Constructing effective representations is a critical but challenging problem in multimedia understanding.
no code implementations • 16 Jan 2014 • Jing Xu, Christian R. Shelton
For HIDS, we develop a novel learning method to deal with the finite resolution of system log file time stamps, without losing the benefits of our continuous time model.
no code implementations • NeurIPS 2008 • Jing Xu, Thomas L. Griffiths
Many human interactions involve pieces of information being passed from one person to another, raising the question of how this process of information transmission is affected by the capacities of the agents involved.