Search Results for author: Jing Xu

Found 96 papers, 31 papers with code

Large coordinate kernel attention network for lightweight image super-resolution

no code implementations15 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.

Image Super-Resolution

Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in CCTV Videos

no code implementations12 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.

Shaping the Future of Urban Mobility: Insights into Autonomous Vehicle Acceptance in Shanghai Through TAM and Perceived Risk Analysis

no code implementations9 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.

Autonomous Vehicles Marketing

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

1 code implementation4 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.

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation

1 code implementation26 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.

HyperCLOVA X Technical Report

no code implementations2 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.

Instruction Following Machine Translation +1

Correlation analysis technique of key parameters for transformer material inspection based on FP-tree and knowledge graph

no code implementations8 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.

Management

Sampling Model for Grid Material Inspection Based on Analytic Hierarchy Process with Absolute Measurement

no code implementations8 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.

Device Fault Prediction Model based on LSTM and Random Forest

no code implementations8 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.

Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition

1 code implementation23 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.

Key Patch Proposer: Key Patches Contain Rich Information

1 code implementation18 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.

Active Learning Semantic Segmentation

ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation

1 code implementation27 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)

Decoder Image Segmentation +3

Self-Rewarding Language Models

3 code implementations18 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.

Instruction Following Language Modelling

Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss

no code implementations27 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.

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation

no code implementations12 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.

Image Segmentation Medical Image Segmentation +1

CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs

no code implementations CVPR 2024 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.

GMISeg: General Medical Image Segmentation without Re-Training

no code implementations21 Nov 2023 Jing Xu

Therefore, we proposed a general method that can solve unknown medical image segmentation tasks without requiring additional training.

Decoder Image Segmentation +3

A Quantum States Preparation Method Based on Difference-Driven Reinforcement Learning

no code implementations29 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.

reinforcement-learning Reinforcement Learning (RL)

Chain-of-Verification Reduces Hallucination in Large Language Models

1 code implementation20 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.

Hallucination Text Generation

TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches

no code implementations18 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.

Transparent objects

Label Inference Attacks against Node-level Vertical Federated GNNs

no code implementations4 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.

Node Classification Vertical Federated Learning

A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

no code implementations17 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.

Multi-Task Learning

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts

no code implementations6 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.

HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection

no code implementations3 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.

object-detection RGB-D Salient Object Detection +1

Improving Open Language Models by Learning from Organic Interactions

no code implementations7 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.

Quantifying the Variability Collapse of Neural Networks

no code implementations6 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.

Continual Dialogue State Tracking via Example-Guided Question Answering

1 code implementation23 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.

Continual Learning Dialogue State Tracking +3

Rethinking the Trigger-injecting Position in Graph Backdoor Attack

no code implementations5 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.

Backdoor Attack Position

Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking

no code implementations16 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.

Contrastive Learning Dialogue State Tracking +1

SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification

no code implementations3 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.

Image Classification Transfer Learning

A Closer Look at Few-shot Classification Again

2 code implementations28 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.

Classification Representation Learning +1

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization

no code implementations16 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.

Stochastic Optimization

On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis

no code implementations2 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.

Bilevel Optimization Meta-Learning +1

TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization

no code implementations25 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.

Decoder Image Forensics +2

UperFormer: A Multi-scale Transformer-based Decoder for Semantic Segmentation

1 code implementation25 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%.

Decoder Object Localization +2

The CRINGE Loss: Learning what language not to model

no code implementations10 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.

Language Modelling

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

2 code implementations30 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.

Few-Shot Learning Selection bias

When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels

no code implementations28 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.

Chatbot

Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing

1 code implementation8 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.

hand-object pose Object +1

A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction

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).

Emotion-Cause Pair Extraction Machine Reading Comprehension

Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls

no code implementations5 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.

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback

no code implementations5 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.

Retrieval

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

2 code implementations5 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.

Continual Learning

SSformer: A Lightweight Transformer for Semantic Segmentation

1 code implementation3 Aug 2022 Wentao Shi, Jing Xu, Pan Gao

It is well believed that Transformer performs better in semantic segmentation compared to convolutional neural networks.

Decoder Image Classification +2

Channel Importance Matters in Few-Shot Image Classification

1 code implementation16 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.

Few-Shot Image Classification Few-Shot Learning

Freeform Body Motion Generation from Speech

1 code implementation4 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.

Semantically Proportional Patchmix for Few-Shot Learning

no code implementations17 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.

Few-Shot Learning Transfer Learning

More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks

no code implementations7 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.

Federated Learning Privacy Preserving

Exploring Category-correlated Feature for Few-shot Image Classification

no code implementations14 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.

Classification Decoder +1

Watermarking Graph Neural Networks based on Backdoor Attacks

no code implementations21 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.

Graph Classification Model extraction +2

ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind

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.

Boosting Graph Search with Attention Network for Solving the General Orienteering Problem

no code implementations10 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.

Decoder

Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net

1 code implementation17 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.

Decoder Object +3

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

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.

Decoder Retrieval

FedCM: Federated Learning with Client-level Momentum

2 code implementations21 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.

Federated Learning

On Anytime Learning at Macroscale

1 code implementation17 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.

Language Modelling Learning Theory

Bot-Adversarial Dialogue for Safe Conversational Agents

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.

Improving Facial Attribute Recognition by Group and Graph Learning

no code implementations28 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.

Attribute Graph Learning

AFINet: Attentive Feature Integration Networks for Image Classification

no code implementations10 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.

Classification General Classification +1

Noise Attention based Spectrum Anomaly Detection Method for Unauthorized Bands

no code implementations17 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.

Anomaly Detection

Optically reconfigurable quantum spin-valley Hall effect of light in coupled nonlinear ring resonator lattice

no code implementations17 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

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

1 code implementation25 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.

Clustering Descriptive +1

Non-Ohmic negative longitudinal magnetoresistance in two-dimensional electron gas

no code implementations21 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

Learning Contextual Perturbation Budgets for Training Robust Neural Networks

no code implementations1 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.

AFINets: Attentive Feature Integration Networks for Image Classification

no code implementations1 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.

Classification General Classification +1

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks

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).

Recipes for Safety in Open-domain Chatbots

no code implementations14 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.

Integrated Communication and Localization in mmWave Systems

no code implementations28 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.

Optimization-driven Hierarchical Learning Framework for Wireless Powered Backscatter-aided Relay Communications

no code implementations4 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.

Angular Triplet Loss-based Camera Network for ReID

no code implementations12 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.

Person Re-Identification Retrieval

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

1 code implementation21 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.

Computational Efficiency COVID-19 Diagnosis +2

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

no code implementations15 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.

Object Object Tracking

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

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.

Action Recognition Temporal Action Localization +1

The Function Transformation Omics - Funomics

no code implementations17 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).

Math

Deep Boosting: Layered Feature Mining for General Image Classification

no code implementations3 Feb 2015 Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

Constructing effective representations is a critical but challenging problem in multimedia understanding.

Classification General Classification +1

Intrusion Detection using Continuous Time Bayesian Networks

no code implementations16 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.

Anomaly Detection Intrusion Detection

How memory biases affect information transmission: A rational analysis of serial reproduction

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.

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