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计算机视觉
Computer Vision
[1]
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
Weixin Liang, Feiyang Niu, Aishwarya Reganti, Govind Thattai, Gokhan Tur
摘 要：
原 文：http://arxiv.org/pdf/2011.10731v1
[2]
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman
摘 要：
原 文：http://arxiv.org/pdf/2011.11630v1
[3]
PLOP: Learning without Forgetting for Continual Semantic Segmentation
Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord
摘 要：
原 文：http://arxiv.org/pdf/2011.11390v1
资 源：github.com/NVIDIA/apex, github.com/fcdl94/MiB
[4]
RNNP: A Robust Few-Shot Learning Approach
Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri
摘 要：
原 文：http://arxiv.org/pdf/2011.11067v1
[5]
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints
Anshul Gupta, Joydeep Medhi, Aratrik Chattopadhyay, Vikram Gupta
摘 要：
原 文：http://arxiv.org/pdf/2011.11078v1
[6]
Legacy Photo Editing with Learned Noise Prior
Zhao Yuzhi, Po Lai-Man, Wang Xuehui, Liu Kangcheng, Zhang Yujia, Yu Wing-Yin, Xian Pengfei, Xiong Jingjing
摘 要：
原 文：http://arxiv.org/pdf/2011.11309v1
[7]
CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong
摘 要：
原 文：http://arxiv.org/pdf/2011.11357v1
资 源：github.com/Livox-SDK/livox_horizon_loam, github.com/ISEE-Technology/CamVox
[8]
The Selectivity and Competition of the Mind's Eye in Visual Perception
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
摘 要：
原 文：http://arxiv.org/pdf/2011.11167v1
[9]
Imbalance Robust Softmax for Deep Embeeding Learning
Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Robertson
摘 要：
原 文：http://arxiv.org/pdf/2011.11155v1
[10]
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
Lei Li, Suping Wu
摘 要：
原 文：http://arxiv.org/pdf/2011.10776v1
资 源：github.com/leilimaster/DmifNet
[11]
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases
Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo Nebot
摘 要：
原 文：http://arxiv.org/pdf/2011.11190v1
[12]
On Connectivity-Aware Distributed Mobility Models for Area Coverage in Drone Networks
Mustafa Tosun, Umut Can Cabuk, Vahid Khalilpour Akram, Orhan Dagdeviren
摘 要：
原 文：http://arxiv.org/pdf/2011.11126v1
[13]
Visual Recognition of Great Ape Behaviours in the Wild
Faizaan Sakib, Tilo Burghardt
摘 要：
原 文：http://arxiv.org/pdf/2011.10759v1
[14]
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
摘 要：
原 文：http://arxiv.org/pdf/2011.10650v1
资 源：github.com/openai/vdvae
[15]
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung, Wing-Yin Yu, Yasar Abbas Ur Rehman
摘 要：
原 文：http://arxiv.org/pdf/2011.11377v1
[16]
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance
Elhousni Mahdi, Huang Xinming, Zhang Ziming
摘 要：
原 文：http://arxiv.org/pdf/2011.10697v1
资 源：github.com/melhousni/DSMNet
[17]
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
Cheng Sun, Min Sun, Hwann-Tzong Chen
摘 要：
原 文：http://arxiv.org/pdf/2011.11498v1
[18]
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
摘 要：
原 文：http://arxiv.org/pdf/2011.10881v1
[19]
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
Qinwen Huang, Ye Zhou, Xiaochen Du, Reed Chen, Jianyou Wang, Cynthia Rudin, Alberto Bartesaghi
摘 要：
原 文：http://arxiv.org/pdf/2011.11020v1
[20]
Interpreting Super-Resolution Networks with Local Attribution Maps
Jinjin Gu, Chao Dong
摘 要：
原 文：http://arxiv.org/pdf/2011.11036v1
[21]
Efficient embedding network for 3D brain tumor segmentation
Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui, Ahcene Zetout, Mohand Said Allili, Souhil Tliba, Douraied Ben Salem, Pierre-Henri Conze
摘 要：
原 文：http://arxiv.org/pdf/2011.11052v1
[22]
Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee
摘 要：
原 文：http://arxiv.org/pdf/2011.11108v1
自然语言处理
Natural Language Processing
[23]
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
Ondřej Dušek, Zdeněk Kasner
摘 要：
原 文：http://arxiv.org/pdf/2011.10819v1
资 源：github.com/ufal/nlgi_eval, github.com/tuetschek/e2e-eval
[24]
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Evgeny Kharitonov, Alexei Baevski, Ewan Dunbar, Emmanuel Dupoux
摘 要：
原 文：http://arxiv.org/pdf/2011.11588v1
资 源：github.com/bootphon/abkhazia, github.com/facebookresearch/CPC_audio
[25]
What do we expect from Multiple-choice QA Systems?
Krunal Shah, Nitish Gupta, Dan Roth
摘 要：
原 文：http://arxiv.org/pdf/2011.10647v1
[26]
Athena: Constructing Dialogues Dynamically with Discourse Constraints
Vrindavan Harrison, Juraj Juraska, Wen Cui, Lena Reed, Kevin K. Bowden, Jiaqi Wu, Brian Schwarzmann, Abteen Ebrahimi, Rishi Rajasekaran, Nikhil Varghese, Max Wechsler-Azen, Steve Whittaker, Jeffrey Flanigan, Marilyn Walker
摘 要：
原 文：http://arxiv.org/pdf/2011.10683v1
资 源：github.com/dbpedia/lookup
数据集
Dataset
[27]
QuerYD: A video dataset with high-quality textual and audio narrations
Andreea-Maria Oncescu, Jõao F. Henriques, Yang Liu, Andrew Zisserman, Samuel Albanie
摘 要：
原 文：http://arxiv.org/pdf/2011.11071v1
[28]
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher Iskander Gaba, Ahmed Helal, Mohammed El-Razzaz
摘 要：
原 文：http://arxiv.org/pdf/2011.10970v1
[29]
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni, Rohit Prakash, Marc Toussaint, Jim Mainprice
摘 要：
原 文：http://arxiv.org/pdf/2011.11552v1
[30]
RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula
摘 要：
原 文：http://arxiv.org/pdf/2011.11572v1
竞赛与挑战
Competition & Challenge
[31]
ML4H Abstract Track 2020
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
摘 要：
原 文：http://arxiv.org/abs/2011.11554v1
方法论
Methodology
[32]
Self-Supervised learning with cross-modal transformers for emotion recognition
Aparna Khare, Srinivas Parthasarathy, Shiva Sundaram
摘 要：
原 文：http://arxiv.org/pdf/2011.10652v1
[33]
FP-NAS: Fast Probabilistic Neural Architecture Search
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
摘 要：
原 文：http://arxiv.org/pdf/2011.10949v1
[34]
Meta Variational Monte Carlo
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni
摘 要：
原 文：http://arxiv.org/pdf/2011.10614v1
[35]
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
Hao-Zhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen
摘 要：
原 文：http://arxiv.org/pdf/2011.10684v1
资 源：github.com/PaperCodeSubmission/
AAAI2021-260
[36]
A Homotopy-based Algorithm for Sparse Multiple Right-hand Sides Nonnegative Least Squares
Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis
摘 要：
原 文：http://arxiv.org/pdf/2011.11066v1
[37]
Envy-Free Allocations Respecting Social Networks
Robert Bredereck, Andrzej Kaczmarczyk, Rolf Niedermeier
摘 要：
原 文：http://arxiv.org/pdf/2011.11596v1
[38]
Training Ethically Responsible AI Researchers: a Case Study
Hang Yuan, Claudia Vanea, Federica Lucivero, Nina Hallowell
摘 要：
原 文：http://arxiv.org/pdf/2011.11393v1
[39]
Verifying the Correctness of Analytic Query Results
Masoud Nosrati, Ying Cai
摘 要：
原 文：http://arxiv.org/pdf/2011.11487v1
[40]
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer
摘 要：
原 文：http://arxiv.org/pdf/2011.11199v1
[41]
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
Alastair Finlinson, Sotiris Moschoyiannis
摘 要：
原 文：http://arxiv.org/pdf/2011.11358v1
[42]
Language-guided Navigation via Cross-Modal Grounding and Alternate Adversarial Learning
Weixia Zhang, Chao Ma, Qi Wu, Xiaokang Yang
摘 要：
原 文：http://arxiv.org/pdf/2011.10972v1
[43]
Restricted Boltzmann Machine, recent advances and mean-field theory
Aurélien Decelle, Cyril Furtlehner
摘 要：
原 文：http://arxiv.org/pdf/2011.11307v1
[44]
Hierachical Delta-Attention Method for Multimodal Fusion
Kunjal Panchal
摘 要：
原 文：http://arxiv.org/pdf/2011.10916v1
资 源：github.com/A2Zadeh/CMU-MultimodalSDK
[45]
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks
Marcello Serqueira, Pedro González, Eduardo Bezerra
摘 要：
原 文：http://arxiv.org/pdf/2011.11062v1
资 源：github.com/fmfn/BayesianOptimization, github.com/CMA-ES/pycma
[46]
Large Scale Neural Architecture Search with Polyharmonic Splines
Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee
摘 要：
原 文：http://arxiv.org/pdf/2011.10608v1
[47]
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang
摘 要：
原 文：http://arxiv.org/pdf/2011.10804v1
[48]
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang
摘 要：
原 文：http://arxiv.org/pdf/2011.10944v1
[49]
How will AI and automation transform society and cities?
Gevorg Yeghikyan
摘 要：
原 文：http://arxiv.org/pdf/2011.11095v1
[50]
Federated learning with class imbalance reduction
Miao Yang, Akitanoshou Wong, Hongbin Zhu, Haifeng Wang, Hua Qian
摘 要：
原 文：http://arxiv.org/pdf/2011.11266v1
神经网络原理
Neural Network Theory
[51]
Dense open-set recognition with synthetic outliers generated by Real NVP
Matej Grcić, Petra Bevandić, Siniša Šegvić
摘 要：
原 文：http://arxiv.org/pdf/2011.11094v1
资 源：github.com/matejgrcic/Vistas-NP, github.com/pb-brainiac/semseg_od
[52]
On the Convergence of Continuous Constrained Optimization for Structure Learning
Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien
摘 要：
原 文：http://arxiv.org/pdf/2011.11150v1
资 源：github.com/xunzheng/notears
[53]
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization
Gauthier Guinet, Valerio Peronne, Cédric Archambeau
摘 要：
原 文：http://arxiv.org/pdf/2011.11456v1
资 源：github.com/SheffieldML/GPyOpt
[54]
Effectiveness of MPC-friendly Softmax Replacement
Marcel Keller, Ke Sun
摘 要：
原 文：http://arxiv.org/pdf/2011.11202v1
[55]
Learning a Deep Generative Model like a Program: the Free Category Prior
Eli Sennesh
摘 要：
原 文：http://arxiv.org/pdf/2011.11063v1
[56]
Ranking Neural Checkpoints
Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong
摘 要：
原 文：http://arxiv.org/pdf/2011.11200v1
综述
Survey
[57]
A Comprehensive Survey on Real-Time Voltage Stability Assessment for Power Systems
Gourav Wadhwa, Amandeep Kharb, Satyam Mishra, Mohit Kumar, Shreyansh Srivastav
摘 要：
原 文：http://arxiv.org/pdf/2011.10885v1
[58]
Locally Linear Embedding and its Variants: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
摘 要：
原 文：http://arxiv.org/pdf/2011.10925v1
[59]
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami, Hossein Alimadad
摘 要：
原 文：http://arxiv.org/pdf/2011.11012v1
[60]
Model Predictive Control for Micro Aerial Vehicles: A Survey
Huan Nguyen, Mina Kamel, Kostas Alexis, Roland Siegwart
摘 要：
原 文：http://arxiv.org/pdf/2011.11104v1
[61]
Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges
Wayes Tushar, Chau Yuen, Tapan Saha, Thomas Morstyn, Archie Chapman, M. Jan E Alam, Sarmad Hanif, H. Vincent Poor
摘 要：
原 文：http://arxiv.org/pdf/2011.11118v1
[62]
Distance-based Data Cleaning: A Survey (Technical Report)
Yu Sun, Jian Zhang
摘 要：
原 文：http://arxiv.org/pdf/2011.11176v1
[63]
Time Series Data Imputation: A Survey on Deep Learning Approaches
Chenguang Fang, Chen Wang
摘 要：
原 文：http://arxiv.org/pdf/2011.11347v1
平台与工具
Platform & Tool
[64]
Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets
Richard Weinhold, Robert Mieth
摘 要：
原 文：http://arxiv.org/pdf/2011.11594v1
资 源：github.com/richard-weinhold/pomato
语音技术
Audio & Speech
[65]
Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification
Xiaoyi Qin, Yaogen Yang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li
摘 要：
原 文：http://arxiv.org/pdf/2011.10710v1
[66]
A Better and Faster End-to-End Model for Streaming ASR
Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu
摘 要：
原 文：http://arxiv.org/pdf/2011.10798v1
[67]
Stochastic Talking Face Generation Using Latent Distribution Matching
Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde
摘 要：
原 文：http://arxiv.org/pdf/2011.10727v1
[68]
End-to-end Silent Speech Recognition with Acoustic Sensing
Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao
摘 要：
原 文：http://arxiv.org/pdf/2011.11315v1
[69]
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning
Prakamya Mishra
摘 要：
原 文：http://arxiv.org/pdf/2011.11387v1
[70]
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer
Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
摘 要：
原 文：http://arxiv.org/pdf/2011.11436v1
[71]
Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems
Xianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett
摘 要：
原 文：http://arxiv.org/pdf/2011.11564v1
知识图谱
Knowledge Graph
[72]
AutoGraph: Automated Graph Neural Network
Yaoman Li, Irwin King
摘 要：
原 文：http://arxiv.org/pdf/2011.11288v1
[73]
MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed, Prem Natarajan
摘 要：
原 文：http://arxiv.org/pdf/2011.11286v1
资 源：github.com/inejc/painters
[74]
Graph Attention Tracking
Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen
摘 要：
原 文：http://arxiv.org/pdf/2011.11204v1
[75]
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture
Quoc Hung Ngo, Tahar Kechadi, Nhien-An Le-Khac
摘 要：
原 文：http://arxiv.org/pdf/2011.11442v1
强化学习
Reinforcement Learning
[76]
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
摘 要：
原 文：http://arxiv.org/pdf/2011.11235v1
[77]
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks
Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla
摘 要：
原 文：http://arxiv.org/pdf/2011.10824v1
[78]
Generative Adversarial Simulator
Jonathan Raiman
摘 要：
原 文：http://arxiv.org/pdf/2011.11472v1
[79]
Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm
Zhenyu Shou, Xuan Di
摘 要：
原 文：http://arxiv.org/pdf/2011.10915v1
医疗与健康
Medical Science & Health Care
[80]
Data Mining Techniques in Predicting Breast Cancer
Hamza Saad, Nagendra Nagarur
摘 要：
原 文：http://arxiv.org/pdf/2011.11088v1
[81]
Transfer Learning for Oral Cancer Detection using Microscopic Images
Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu
摘 要：
原 文：http://arxiv.org/pdf/2011.11610v1
应用
Application
[82]
Abiotic Stress Prediction from RGB-T Images of Banana Plantlets
Sagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel
摘 要：
原 文：http://arxiv.org/pdf/2011.11597v1
[83]
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction
Pratik Ratadiya, Khushi Asawa, Omkar Nikhal
摘 要：
原 文：http://arxiv.org/pdf/2011.10981v1
[84]
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew Plumptre, Milind Tambe
摘 要：
原 文：http://arxiv.org/pdf/2011.10666v1
[85]
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
Seungjae Jung, Kyung-Min Kim, Hanock Kwak, Young-Jin Park
摘 要：
原 文：http://arxiv.org/pdf/2011.10715v1
[86]
Characterization of Industrial Smoke Plumes from Remote Sensing Data
Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth
摘 要：
原 文：http://arxiv.org/pdf/2011.11344v1
[87]
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
Jiawei Zhu, Chao Tao, Hanhan Deng, Ling Zhao, Pu Wang, Tao Lin, Haifeng Li
摘 要：
原 文：http://arxiv.org/pdf/2011.11004v1
其他技术
Others
[88]
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need?
Jaeyoung Song, Marios Kountouris
摘 要：
原 文：http://arxiv.org/pdf/2011.10894v1
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