1 code implementation • 10 Mar 2025 • Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
Mixture-of-Experts (MoE) Transformer, the backbone architecture of multiple phenomenal language models, leverages sparsity by activating only a fraction of model parameters for each input token.
1 code implementation • 10 Mar 2025 • Yifan Chen, Hongjun An, Zhe Sun, Tong Tian, Mingliang Chen, Christian Spielmann, Xuelong Li
Ghost imaging (GI) achieves 2D image reconstruction through high-order correlation of 1D bucket signals and 2D light field information, particularly demonstrating enhanced detection sensitivity and high-quality image reconstruction via efficient photon collection in scattering media.
1 code implementation • 28 Feb 2025 • Haitao Li, Yifan Chen, Yiran Hu, Qingyao Ai, Junjie Chen, Xiaoyu Yang, Jianhui Yang, Yueyue Wu, Zeyang Liu, Yiqun Liu
To fill this gap, we propose LexRAG, the first benchmark to evaluate RAG systems for multi-turn legal consultations.
1 code implementation • 25 Feb 2025 • Haitao Li, Jiaying Ye, Yiran Hu, Jia Chen, Qingyao Ai, Yueyue Wu, Junjie Chen, Yifan Chen, Cheng Luo, Quan Zhou, Yiqun Liu
To the best of our knowledge, CaseGen is the first benchmark designed to evaluate LLMs in the context of legal case document generation.
no code implementations • 20 Feb 2025 • M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shawn Gavin, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, David Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tyshawn Hsing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, YuBo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang
To address this gap, we present SuperGPQA, a comprehensive benchmark that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines.
1 code implementation • 8 Jan 2025 • Baojun Che, Yifan Chen, Zhenghao Huan, Daniel Zhengyu Huang, Weijie Wang
This paper is concerned with the approximation of probability distributions known up to normalization constants, with a focus on Bayesian inference for large-scale inverse problems in scientific computing.
2 code implementations • 5 Jan 2025 • Jiaping Wang, Simiao Zhang, Qiao-Chu He, Yifan Chen
The machine learning and data science community has made significant while dispersive progress in accelerating transformer-based large language models (LLMs), and one promising approach is to replace the original causal attention in a generative pre-trained transformer (GPT) with \emph{exponentially decaying causal linear attention}.
no code implementations • 3 Jan 2025 • Jiahao Ma, Hongzong Li, Jian-Dong Huang, Ye-Fan Hu, Yifan Chen
The complex nature of tripartite peptide-MHC-TCR interactions is a critical yet underexplored area in immunogenicity prediction.
1 code implementation • 3 Jan 2025 • Fengrui Zhang, Yujia Yin, Hongzong Li, Yifan Chen, Tianyi Qu
Despite significant advancements in causal research on graphs and its application to cracking label imbalance, the role of edge features in detecting the causal effects within graphs has been largely overlooked, leaving existing methods with untapped potential for further performance gains.
1 code implementation • 12 Dec 2024 • Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin
Previous research has shown that constraining the gradient of loss function with respect to model-predicted probabilities can enhance the model robustness against noisy labels.
1 code implementation • 4 Dec 2024 • Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
We recognize the "energy barrier" in OOD detection, which characterizes the energy difference between in-distribution (ID) and OOD samples and eases detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
1 code implementation • 3 Dec 2024 • Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen
By replacing MAE in APL with our proposed NNLFs, we enhance APL and present a new framework called Active Negative Loss (ANL).
no code implementations • 22 Nov 2024 • Huilin Chen, Lei Wang, Yifan Chen, Tom Gedeon, Piotr Koniusz
Capturing the rich temporal evolution of video frames, while preserving their spatial details, is crucial for improving accuracy.
no code implementations • 15 Sep 2024 • Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang
Music is essential in daily life, fulfilling emotional and entertainment needs, and connecting us personally, socially, and culturally.
1 code implementation • 4 Sep 2024 • Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang
Multiobjective optimization problems (MOPs) are prevalent in machine learning, with applications in multi-task learning, learning under fairness or robustness constraints, etc.
no code implementations • 20 Aug 2024 • Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed, Jonathan Weare
The unadjusted Langevin algorithm is commonly used to sample probability distributions in extremely high-dimensional settings.
no code implementations • 8 Aug 2024 • Yifan Chen, Xiaozhen Qiao, Zhe Sun, Xuelong Li
In this paper, we propose a novel approach, ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model, which aims to comprehensively distill the knowledge from a large teacher CLIP model into a smaller student model, ensuring comparable performance with significantly reduced parameters.
1 code implementation • 1 Aug 2024 • Hongjun An, Yifan Chen, Zhe Sun, Xuelong Li
Current large language models (LLMs) primarily utilize next-token prediction method for inference, which significantly impedes their processing speed.
no code implementations • 21 Jul 2024 • Yu Li, Yifan Chen, Gongye Liu, Fei Yin, Qingyan Bai, Jie Wu, Hongfa Wang, Ruihang Chu, Yujiu Yang
To address these challenges, we introduce LayoutDiT, an effective framework that balances content and graphic features to generate high-quality, visually appealing layouts.
1 code implementation • 25 Jun 2024 • Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
The proposed methodology results in an efficient derivative-free sampler flexible enough to handle multi-modal distributions: Gaussian Mixture Kalman Inversion (GMKI).
1 code implementation • 13 Jun 2024 • Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y Wang, Cecilia S Lee, Lucia Sobrin, Carol Y Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu
Here we introduce RetiZero, a vision-language foundation model that leverages knowledge from over 400 fundus diseases.
1 code implementation • 31 May 2024 • Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang
Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their superiority in terms of factuality, they do not consistently outperform the original retrieval-free Language Models (LMs).
1 code implementation • 29 May 2024 • Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Diffusion models (DMs) have recently shown outstanding capabilities in modeling complex image distributions, making them expressive image priors for solving Bayesian inverse problems.
no code implementations • 21 May 2024 • Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
The article presents a systematic study of the problem of conditioning a Gaussian random variable $\xi$ on nonlinear observations of the form $F \circ \phi(\xi)$ where $\phi: \mathcal{X} \to \mathbb{R}^N$ is a bounded linear operator and $F$ is nonlinear.
no code implementations • 15 Apr 2024 • Jiadi Cui, Junming Cao, Fuqiang Zhao, Zhipeng He, Yifan Chen, Yuhui Zhong, Lan Xu, Yujiao Shi, Yingliang Zhang, Jingyi Yu
Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle glass.
no code implementations • 1 Apr 2024 • huan zhang, Yifan Chen, Eric Vanden-Eijnden, Benjamin Peherstorfer
Sequential-in-time methods solve a sequence of training problems to fit nonlinear parametrizations such as neural networks to approximate solution trajectories of partial differential equations over time.
no code implementations • 20 Mar 2024 • Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
We propose a framework for probabilistic forecasting of dynamical systems based on generative modeling.
no code implementations • 14 Feb 2024 • Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
Multiobjective optimization (MOO) is prevalent in numerous applications, in which a Pareto front (PF) is constructed to display optima under various preferences.
no code implementations • 11 Dec 2023 • Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie zhou
Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions.
1 code implementation • 9 Dec 2023 • Yifan Chen, Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Jianjiang Feng, Jie zhou
In this paper, we present a novel registration framework, HumanReg, that learns a non-rigid transformation between two human point clouds end-to-end.
1 code implementation • 23 Oct 2023 • Yuanxing Liu, Wei-Nan Zhang, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che
This paper investigates the effectiveness of combining LLM and CRS in E-commerce pre-sales dialogues, proposing two collaboration methods: CRS assisting LLM and LLM assisting CRS.
1 code implementation • 16 Oct 2023 • Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
PMC is able to incorporate expressive score-based generative priors for high-quality image reconstruction while also performing uncertainty quantification via posterior sampling.
no code implementations • 5 Oct 2023 • Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M Stuart
Our third contribution is to study, and develop efficient algorithms based on Gaussian approximations of the gradient flows; this leads to an alternative to particle methods.
1 code implementation • 16 Sep 2023 • Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang
Additionally, we introduce the MLP-based Sequential Residual Block (MSRB) for robust feature extraction from text images, and a Local Contour Awareness loss ($\mathcal{L}_{lca}$) to enhance the model's perception of details.
1 code implementation • 18 Jul 2023 • Mengting Ai, Tianxin Wei, Yifan Chen, Zeming Guo, Jingrui He
Fine-tuning a pre-trained language model (PLM) emerges as the predominant strategy in many natural language processing applications.
1 code implementation • 15 Jun 2023 • Yifan Chen, Rentian Yao, Yun Yang, Jie Chen
The study includes a set of experiments to support the theory and method, including approximating the GW distance, preserving the graph spectrum, classifying graphs using spectral information, and performing regression using graph convolutional networks.
no code implementations • 8 May 2023 • Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
We introduce a priori Sobolev-space error estimates for the solution of nonlinear, and possibly parametric, PDEs using Gaussian process and kernel based methods.
no code implementations • 5 May 2023 • Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che
In this paper, we construct a user needs-centric E-commerce conversational recommendation dataset (U-NEED) from real-world E-commerce scenarios.
1 code implementation • 3 Apr 2023 • Yifan Chen, Houman Owhadi, Florian Schäfer
The primary goal of this paper is to provide a near-linear complexity algorithm for working with such kernel matrices.
no code implementations • 21 Feb 2023 • Meng Zhang, Wenxuan Guo, Bohao Fan, Yifan Chen, Jianjiang Feng, Jie zhou
The experimental results show that multi-view point clouds greatly improve 3D object detection and tracking accuracy regardless of complex and various outdoor environments.
1 code implementation • 21 Feb 2023 • Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
The flow in the Gaussian space may be understood as a Gaussian approximation of the flow.
1 code implementation • 6 Dec 2022 • Yifan Chen, Chunyin Lei, Chuanquan Li, Haiqiang Ma, Ningyuan Hu
Therefore, we propose a tuning-free method for automatically selecting the optimal robustification parameter with high efficiency.
1 code implementation • 26 Oct 2022 • Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
Prefix-tuning, or more generally continuous prompt tuning, has become an essential paradigm of parameter-efficient transfer learning.
1 code implementation • 17 Aug 2022 • Gaofeng Cheng, Yifan Chen, Runyan Yang, Qingxuan Li, Zehui Yang, Lingxuan Ye, Pengyuan Zhang, Qingqing Zhang, Lei Xie, Yanmin Qian, Kong Aik Lee, Yonghong Yan
In the metric aspect, we design the new conversational DER (CDER) evaluation metric, which calculates the SD accuracy at the utterance level.
no code implementations • 15 Aug 2022 • Weipan Xu, Yu Gu, Yifan Chen, Yongtian Wang, Weihuan Deng, Xun Li
Housing quality is an essential proxy for regional wealth, security and health.
1 code implementation • 13 Jul 2022 • Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
The randomly pivoted partial Cholesky algorithm (RPCholesky) computes a factorized rank-k approximation of an N x N positive-semidefinite (psd) matrix.
no code implementations • 9 Jul 2022 • Wending Mai, Yifan Chen
We propose a system to visualize the chirality of the protein in brains, which would be helpful to diagnose early neurological degenerative diseases in vivo.
no code implementations • 28 Jun 2022 • Yifan Chen, Yifan Guo, Qingxuan Li, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
For online speaker diarization, samples arrive incrementally, and the overall distribution of the samples is invisible.
1 code implementation • 1 Jun 2022 • Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
This paper revisits the approach from a matrix approximation perspective, and identifies two issues in the existing layer-wise sampling methods: suboptimal sampling probabilities and estimation biases induced by sampling without replacement.
1 code implementation • Findings (NAACL) 2022 • Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
The massive amount of trainable parameters in the pre-trained language models (PLMs) makes them hard to be deployed to multiple downstream tasks.
no code implementations • 31 Mar 2022 • Zehui Yang, Yifan Chen, Lei Luo, Runyan Yang, Lingxuan Ye, Gaofeng Cheng, Ji Xu, Yaohui Jin, Qingqing Zhang, Pengyuan Zhang, Lei Xie, Yonghong Yan
As a Mandarin speech dataset designed for dialog scenarios with high quality and rich annotations, MagicData-RAMC enriches the data diversity in the Mandarin speech community and allows extensive research on a series of speech-related tasks, including automatic speech recognition, speaker diarization, topic detection, keyword search, text-to-speech, etc.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
no code implementations • 7 Mar 2022 • Yifan Chen, Yang Zhao, Xuelong Li
In this paper, we try to enhance the discrimination of spatio-temporal gait features from two aspects: effective extraction of spatio-temporal gait features and reasonable refinement of extracted features.
1 code implementation • NAACL 2022 • Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
Transformer-based models are not efficient in processing long sequences due to the quadratic space and time complexity of the self-attention modules.
2 code implementations • NeurIPS 2021 • Yifan Chen, Qi Zeng, Heng Ji, Yun Yang
Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.
no code implementations • 29 Sep 2021 • Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
To accelerate the training of graph convolutional networks (GCN), many sampling-based methods have been developed for approximating the embedding aggregation.
no code implementations • 4 Aug 2021 • Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models.
1 code implementation • NeurIPS 2021 • Yifan Chen, Qi Zeng, Heng Ji, Yun Yang
Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.
no code implementations • 7 May 2021 • Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, SungJun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, ZiRui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
3 code implementations • 23 Apr 2021 • Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang
Image quality assessment (IQA) aims to assess the perceptual quality of images.
2 code implementations • 24 Mar 2021 • Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
The main idea of our method is to approximate the solution of a given PDE as the maximum a posteriori (MAP) estimator of a Gaussian process conditioned on solving the PDE at a finite number of collocation points.
no code implementations • 9 Mar 2021 • Yifan Chen, Yun Yang
Nystr\"om approximation is a fast randomized method that rapidly solves kernel ridge regression (KRR) problems through sub-sampling the n-by-n empirical kernel matrix appearing in the objective function.
no code implementations • 6 Mar 2021 • Yifan Chen, Yun Yang
Building a sketch of an n-by-n empirical kernel matrix is a common approach to accelerate the computation of many kernel methods.
1 code implementation • CONLL 2020 • Yifan Chen, Tamara Polajnar, Colin Batchelor, Simone Teufel
We present a new summarisation task, taking scientific articles and producing journal table-of-contents entries in the chemistry domain.
no code implementations • 7 Jul 2020 • Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke
We propose a self-supervised pre-training and fine-tuning framework, PF-HIN, to capture the features of a heterogeneous information network.
no code implementations • 22 May 2020 • Yifan Chen, Houman Owhadi, Andrew M. Stuart
The purpose of this paper is to study two paradigms of learning hierarchical parameters: one is from the probabilistic Bayesian perspective, in particular, the empirical Bayes approach that has been largely used in Bayesian statistics; the other is from the deterministic and approximation theoretic view, and in particular the kernel flow algorithm that was proposed recently in the machine learning literature.
2 code implementations • 1 Mar 2020 • Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang
Visual attention has proven to be effective in improving the performance of person re-identification.
Ranked #11 on
Person Re-Identification
on DukeMTMC-reID
no code implementations • 9 Sep 2019 • Zengming Shen, Yifan Chen, S. Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang
A self-inverse network shares several distinct advantages: only one network instead of two, better generalization and more restricted parameter space.
no code implementations • 5 Dec 2018 • Yifan Chen, Yevgeniy Vorobeychik
Despite the considerable success of convolutional neural networks in a broad array of domains, recent research has shown these to be vulnerable to small adversarial perturbations, commonly known as adversarial examples.
no code implementations • 22 Nov 2017 • Yifan Chen, Yuejiao Sun, Wotao Yin
If no sufficient decrease is found, the current point is called an approximate $R$-local minimizer.
1 code implementation • 6 Feb 2017 • Yifan Chen, Xiang Zhao
Top-$N$ recommender systems typically utilize side information to address the problem of data sparsity.
Information Retrieval
no code implementations • 27 Jun 2016 • Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang
In this paper, we propose a content-based top-$N$ recommender system by learning the global term weights in profiles.