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ORCIDCoRR, July 2022
- Yuchuan Gou, Bo Peng, Hongchen Liu, Hang Zhou, Jui-Hsin Lai:
MultiEarth 2022 - The Champion Solution for Image-to-Image Translation Challenge via Generation Models. - Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. - Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang
, Xiaoxiao Li:
Class Impression for Data-free Incremental Learning. - Andresia Pitri, Leon Andretti Abdillah:
Usability Testing untuk Mengukur Kepuasaan Pengguna Website Mailo Store. - Leilani H. Gilpin, Andrew R. Paley, Mohammed A. Alam, Sarah Spurlock, Kristian J. Hammond:
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI. - Harry Wixley:
Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors. - Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. - Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu:
LaserMix for Semi-Supervised LiDAR Semantic Segmentation. - Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Maurizio D'Arienzo, Simon Pietro Romano:
GOSPF: An energy efficient implementation of the OSPF routing protocol. - Oskar Thorén, Sanaz Taheri Boshrooyeh, Hanno Cornelius:
Waku: A Family of Modular P2P Protocols For Secure & Censorship-Resistant Communication. - Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen:
DP2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring. - Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic:
Performative Reinforcement Learning. - Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. - Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li:
Semantic Image Synthesis via Diffusion Models. - Yanwei Wang, Ching-Yun Ko:
Visual Pre-training for Navigation: What Can We Learn from Noise? - Christoph Matthies, Mary Sánchez-Gordón, Jens Bæk Jørgensen, Lutz Prechelt:
"Communication Is a Scarce Resource!": A Summary of CHASE'22 Conference Discussions. - Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov:
MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi:
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. - Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation. - Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. - Noman Bashir, David E. Irwin, Prashant J. Shenoy, Abel Souza:
Sustainable Computing - Without the Hot Air. - Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. - Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky:
Towards Human-Agent Communication via the Information Bottleneck Principle. - Timo Gervens, Martin Grohe:
Graph Similarity Based on Matrix Norms. - Lionel Nganyewou Tidjon, Foutse Khomh:
Threat Assessment in Machine Learning based Systems. - Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Chiyuan Zhang:
Measuring Forgetting of Memorized Training Examples. - Ronald Fagin, Jonathan Lenchner, Nikhil Vyas, Ryan Williams:
On the Number of Quantifiers as a Complexity Measure. - Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Tsuyoshi Murata, Naveed Afzal:
Modularity Optimization as a Training Criterion for Graph Neural Networks. - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Deradicalizing YouTube: Characterization, Detection, and Personalization of Religiously Intolerant Arabic Videos. - Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. - Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Decentralized Signal Temporal Logic Control for Perturbed Interconnected Systems via Assume-Guarantee Contract Optimization. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
Privacy-Preserving Spam-Protected Gossip-Based Routing. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
WAKU-RLN-RELAY: Privacy-Preserving Peer-to-Peer Economic Spam Protection. - Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. - Tiziano Dalmonte, Andrea Mazzullo, Ana Ozaki:
Reasoning in Non-normal Modal Description Logics. - Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. - Alex Tong Lin, Stanley J. Osher:
Multi-Agent Shape Control with Optimal Transport. - Faical Khennoufa, Khelil Abdellatif, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
A Hybrid Energy Harvesting Protocol for Cooperative NOMA: Error Performance Approach. - Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy:
Robustness of Epinets against Distributional Shifts. - Bohui Zhang, Filip Ilievski, Pedro A. Szekely:
Enriching Wikidata with Linked Open Data. - Beddiaf Safia, Khelil Abdellatif, Faical Khennoufa, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
Error Analysis of Cooperative NOMA with Practical Constraints: Hardware-Impairment, Imperfect SIC and CSI. - Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening using Self-attention Guided Networks. - Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Yiming Huo:
Space Broadband Access: The Race Has Just Begun. - Chemseddine Benkalfate, Mohammed Feham, Achour Ouslimani, Abed-Elhak Kasbari:
UWB patch antenna design and realization in the bandwidth 780 MHz to 4.22 GHz. - Stefano Bonafini, Claudio Sacchi, Riccardo Bassoli, Fabrizio Granelli, Koteswararao Kondepu, Frank H. P. Fitzek:
An Analytical Study on Functional Split in Martian 3D Networks. - Shafkat Islam, Ioannis Zografopoulos, Md Tamjid Hossain, Shahriar Badsha, Charalambos Konstantinou:
A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid. - Leonardo Badia, Andrea Bedin:
Blockage-Peeking Game of Mobile Strategic Nodes in Millimeter Wave Communications. - Haruaki Tanaka, Yusuke Yamasaki, Satoshi Yasuda, Nobuyasu Shiga, Kenichi Takizawa, Nicolas Chauvet, Ryoichi Horisaki, Makoto Naruse:
Experimental Demonstration of Delay-Bounded Wireless Network Based on Precise Time Synchronization. - Luliang Jia, Nan Qi, Feihuang Chu, Shengliang Fang, Ximing Wang, Shuli Ma, Shuo Feng:
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks. - Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta:
When Does Differentially Private Learning Not Suffer in High Dimensions? - Nyle Siddiqui, Rushit Dave:
Mitigating Presentation Attack using DCGAN and Deep CNN. - Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Miguel Marquez, Ramith Hettiarachchi, Hans Garcia, Kithmini Herath, Udith Haputhanthri, Balpreet Singh Ahluwalia, Peter T. C. So, Dushan N. Wadduwage, Chamira U. S. Edussooriya:
Deep Optical Coding Design in Computational Imaging. - Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen:
Secure Forward Aggregation for Vertical Federated Neural Networks. - Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. - Zhongxiang Chang, Abraham P. Punnen, Zhongbao Zhou:
An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split. - Wei-Chang Yeh:
Novel Recursive Inclusion-Exclusion Technology Based on BAT and MPs for Heterogeneous-Arc Binary-State Network Reliability Problems. - Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang:
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction. - Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu:
Turbo: Opportunistic Enhancement for Edge Video Analytics. - Thanitnan Kammuang, Watthanai Luealamai, Issarapong Khuankrue:
Data-Driven Model for Failure Analysis of Internet of Things Devices: A Preliminary Study. - Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-end cell recognition by point annotation. - Mingyuan Luo, Xin Yang, Hongzhang Wang, Liwei Du, Dong Ni:
Deep Motion Network for Freehand 3D Ultrasound Reconstruction. - Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech:
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. - Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang:
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving. - Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma:
An Understanding-Oriented Robust Machine Reading Comprehension Model. - Cheng Li, Yangxin Liu:
Rethinking Query-Key Pairwise Interactions in Vision Transformers. - Rishab Mitra, Arpit Narechania, Alex Endert, John T. Stasko:
Facilitating Conversational Interaction in Natural Language Interfaces for Visualization. - Minh Cao, Ramin Ramezani:
Data generation using simulation technology to improve perception mechanism of autonomous vehicles. - Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai:
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition. - Albert Wu, Michelle Guo, C. Karen Liu:
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. - Fang Da:
Comprehensive Reactive Safety: No Need For A Trajectory If You Have A Strategy. - Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh:
Studying the impact of magnitude pruning on contrastive learning methods. - Kevin Tracy, Taylor A. Howell, Zachary Manchester:
DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons. - Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. - Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro V. Sander:
Neural Parameterization for Dynamic Human Head Editing. - Bernard Chazelle, Kritkorn Karntikoon:
Quick Relaxation in Collective Motion. - Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho:
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. - Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin:
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations. - Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian causal inference in automotive software engineering and online evaluation. - Yeonsoo Park, Soohyun Bae:
Keeping Less is More: Point Sparsification for Visual SLAM. - Peipei Liu, Hong Li, Zuoguang Wang, Jie Liu, Yimo Ren, Hongsong Zhu:
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence. - Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. - Muqiao Yang, Joseph Konan, David Bick, Anurag Kumar, Shinji Watanabe, Bhiksha Raj:
Improving Speech Enhancement through Fine-Grained Speech Characteristics. - Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan:
Discriminator-Guided Model-Based Offline Imitation Learning. - Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang:
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. - Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos:
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. - Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
Trajectory Forecasting on Temporal Graphs. - Jichao Zhang, Jingjing Chen, Hao Tang, Enver Sangineto, Peng Wu, Yan Yan, Nicu Sebe, Wei Wang:
Unsupervised High-Resolution Portrait Gaze Correction and Animation. - William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko:
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. - Jun Wu, Lilu Liu, Yue Wang, Rong Xiong:
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy. - Isabella María Sierra-Ponce, Angela Mireya León-Mecías, Damian Valdés-Santiago:
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images. - Ignjat Pejic, Rui Wang, Kaitai Liang:
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks. - Nurul Huda Mahmood, Gilberto Berardinelli, Emil J. Khatib, Ramin Hashemi, Carlos H. M. de Lima, Matti Latva-aho:
A Functional Architecture for 6G Special Purpose Industrial IoT Networks. - Patrick Gelhausen, M. Fischer, Gabriele Peters:
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. - Linjie Yang, Pingzhi Fan, Li Li, Zhiguo Ding, Li Hao:
Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector. - Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. - Maciej Wozniak, Anna Szyszka, Sergio Rojas:
A study of efficient concurrent integration methods of B-Spline basis functions in IGA-FEM. - Jiaxin Wu, Chong-Wah Ngo, Wing Kwong Chan, Zhijian Hou:
(Un)likelihood Training for Interpretable Embedding. - Yuxin Song, Ruolin Zhu, Min Yang, Dongliang He:
DALG: Deep Attentive Local and Global Modeling for Image Retrieval. - Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek:
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. - Denis Barucic, Jan Kybic:
Learning to segment from object sizes. - Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong:
Competitive DER Aggregation for Participation in Wholesale Markets. - Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. - Marco Cotogni, Claudio Cusano:
Offset equivariant networks and their applications. - Erik Burman, Peter Hansbo, Mats G. Larson:
The augmented Lagrangian method as a framework for stabilised methods in computational mechanics. - Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly:
The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act. - Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. - Cedric Richter, Heike Wehrheim:
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes. - Filiberto Fele, Antonio de Paola, David Angeli, Goran Strbac:
A framework for receding-horizon control in infinite-horizon aggregative games. - Fabrizio d'Amore:
Quality increases as the error rate decreases. - Francesca Bonizzoni, Guido Kanschat:
A Tensor-Product Finite Element Cochain Complex with Arbitrary Continuity. - Edirlei Soares de Lima, António L. Furtado, Bruno Feijó, Marco A. Casanova:
A Note on Process Modelling: Combining Situation Calculus and Petri Nets. - Gang He, Kepeng Xu, Li Xu, Chang Wu, Ming Sun, Xing Wen, Yu-Wing Tai:
SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping. - Pragati Sharma, Rahul Jashvantbhai Pandya, Sridhar Iyer, Anubhav Sharma:
Survey on Wireless Information Energy Transfer (WIET) and Related Applications in 6G Internet of NanoThings (IoNT). - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM: Robust and Interpretable Feature Matching with Topic-assisted. - Neha Baranwal, Varun Sharma:
Literature on Hand GESTURE Recognition using Graph based methods. - Yiwen Liao, Tianjie Ge, Raphaël Latty, Bin Yang:
Conditional Variable Selection for Intelligent Test. - Yiwen Liao, Bin Yang, Raphaël Latty, Jochen Rivoir:
A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning. - Kamil Deja, Ariadna Sánchez, Julian Roth, Marius Cotescu:
Automatic Evaluation of Speaker Similarity. - Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva:
HyperTensioN and Total-order Forward Decomposition optimizations. - Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni:
Fine-grained Correlation Loss for Regression. - Marco Naguib, François Portet, Marco Dinarelli:
Vers la compréhension automatique de la parole bout-en-bout à moindre effort. - Joey De Pauw, Koen Ruymbeek, Bart Goethals:
Modelling Users with Item Metadata for Explainable and Interactive Recommendation. - Marco Dinarelli, Marco Naguib, François Portet:
Toward Low-Cost End-to-End Spoken Language Understanding. - Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. - Zeshun Shi, Jeroen Bergers, Ken Korsmit, Zhiming Zhao:
AUDITEM: Toward an Automated and Efficient Data Integrity Verification Model Using Blockchain. - Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich:
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts. - Amuthan A. Ramabathiran, Prabhu Ramachandran:
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs. - Nils Werner, Tim Zeitz:
Combining Predicted and Live Traffic with Time-Dependent A* Potentials. - Naiyuan Liu, Xiaohan Wang, Xiaobo Li, Yi Yang, Yueting Zhuang:
ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022. - Benjamin Merlin Bumpus, Bart M. P. Jansen, Jari J. H. de Kroon:
Search-Space Reduction via Essential Vertices. - Samuel Horváth:
Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity. - Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata:
Conditional Generation with a Question-Answering Blueprint. - Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin, Giancarlo Ferrigno, Paul Breedveld, Jenny Dankelman, Elena De Momi:
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing. - Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora:
Adversarial Robustness is at Odds with Lazy Training. - Yanick Schraner, Christian Scheller, Michel Plüss, Manfred Vogel:
Swiss German Speech to Text system evaluation. - Latif U. Khan, Zhu Han, Dusit Niyato, Ekram Hossain, Choong Seon Hong:
Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions. - Bassel Al Homssi, Kosta Dakic, Ke Wang, Tansu Alpcan, Ben Allen, Sithamparanathan Kandeepan, Akram Al-Hourani, Walid Saad:
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks. - Mohammad Arif Hossain, Abdullah Ridwan Hossain, Nirwan Ansari:
AI in 6G: Energy-Efficient Distributed Machine Learning for Multilayer Heterogeneous Networks. - Arjun Prasad Chaurasiya, Roshan Sah, V. Sivakumar:
Energy Efficient Routing For Underwater Acoustic Sensor Network Using Genetic Algorithm. - Joachim Sachs, Krister Landernäs:
Review of 5G capabilities for smart manufacturing. - Joseph Bolarinwa, Alex Smith, Adnan Aijaz, Aleksandar Stanoev, Manuel Giuliani:
Demo: Untethered Haptic Teleoperation for Nuclear Decommissioning using a Low-Power Wireless Control Technology. - Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah:
Self-Supervised Learning for Videos: A Survey. - Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. - Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp:
Generative Adversarial Networks and Image-Based Malware Classification. - An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. - Alberto Carrasco-Casado, Koichi Shiratama, Phuc V. Trinh, Dimitar R. Kolev, Femi Ishola, Tetsuharu Fuse, Hiroyuki Tsuji, Morio Toyoshima:
NICT's versatile miniaturized lasercom terminals for moving platforms. - Kumar Saurabh, Saksham Sood, P. Aditya Kumar, Uphar Singh, Ranjana Vyas, O. P. Vyas, Rahamatullah Khondoker:
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks. - Shuiqiao Yang, Bao Gia Doan, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Seyit Camtepe, Damith C. Ranasinghe, Salil S. Kanhere:
Transferable Graph Backdoor Attack. - Wanting Yang, Hongyang Du, Zi Qin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao:
Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges. - Yuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang:
FLVoogd: Robust And Privacy Preserving Federated Learning. - Jorge A. Mendez, Harm van Seijen, Eric Eaton:
Modular Lifelong Reinforcement Learning via Neural Composition. - Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen:
How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning. - Nicolas Brieu, Felix J. Segerer, Ansh Kapil, Philipp Wortmann, Günter Schmidt:
Stain Isolation-based Guidance for Improved Stain Translation. - Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan:
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network. - Simone Martone, Francesco Manigrasso, Fabrizio Lamberti, Lia Morra:
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. - Petr Zhukov, Anton I. Glushchenko, Andrey Fomin:
Implicit adaptation of mesh model of transient heat conduction problem. - Xuan Zheng, Kerstin Eder, Tim Blackmore:
Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure. - Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv:
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. - Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy:
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Jingxiao Ma, Sherief Reda:
RUCA: RUntime Configurable Approximate Circuits with Self-Correcting Capability. - Jorge A. Mendez, Shashank Shivkumar, Eric Eaton:
Lifelong Inverse Reinforcement Learning. - Min-Sheng Lin:
Counting Dominating Sets in Directed Path Graphs. - Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu:
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings. - Oliver Lloyd, Yi Liu, Tom R. Gaunt:
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality. - Jiamin Liang, Xin Yang, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni:
Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling. - Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni:
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. - Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni:
Online Reflective Learning for Robust Medical Image Segmentation. - Karan Kheta, Claire Delgove, Ruolin Liu, Adeola Aderogba, Marc-Olivier Pokam, Muhammed Mehmet Unal, Yang Xing, Weisi Guo:
Vision-based Conflict Detection within Crowds based on High-Resolution Human Pose Estimation for Smart and Safe Airport. - Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash:
Asynchronous Distributed Bayesian Optimization at HPC Scale. - Yang Xing, Wenbo Li, Xiaoyu Mo, Chen Lv:
Multi-task Driver Steering Behaviour Modeling Using Time-Series Transformer. - Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi:
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. - Mykola Makhortykh, Ernesto de León, Aleksandra Urman, Clara Christner, Maryna Sydorova, Silke Adam, Michaela Maier, Teresa Gil-Lopez:
Panning for gold: Lessons learned from the platform-agnostic automated detection of political content in textual data. - Tian Yu, Qing Chang:
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration. - Rabih Zbib, Lucas Lacasa Alvarez, Federico Retyk, Rus Poves, Juan Aizpuru, Hermenegildo Fabregat, Vaidotas Simkus, Emília Garcia Casademont:
Learning Job Titles Similarity from Noisy Skill Labels. - Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng, Ruobing Huang:
Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound. - Philipp Spitzer, Niklas Kühl, Marc Goutier:
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer. - Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
MotionMixer: MLP-based 3D Human Body Pose Forecasting. - Christian Berger, Hans P. Reiser, Franz J. Hauck, Florian Held, Jörg Domaschka:
Automatic Integration of BFT State-Machine Replication into IoT Systems. - Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr:
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. - Sauradip Nag, Nisarg A. Shah, Anran Qi, Raghavendra Ramachandra:
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting. - Jonas Fritzsch, Justus Bogner, Markus Haug, Stefan Wagner, Alfred Zimmermann:
Towards an Architecture-centric Methodology for Migrating to Microservices. - Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger:
Enhancing cluster analysis via topological manifold learning. - Andrey Prokopenko, Piyush Sao, Damien Lebrun-Grandié:
A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs. - Ashwin Ganesan:
Structured Hypergraphs in Cellular Mobile Communication Systems. - Daniel Hausmann, Nir Piterman:
A Survey on Satisfiability Checking for the μ-Calculus through Tree Automata. - Wei Guo, Jing-Mei Qiu:
A Local Macroscopic Conservative (LoMaC) low rank tensor method for the Vlasov dynamics. - Dhruvit Patel, Edward Ott:
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems. - Matthew Earnshaw, Pawel Sobocinski:
Regular Monoidal Languages. - Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher:
Behavioral Player Rating in Competitive Online Shooter Games. - Michael Zhang, Samuel Kim, Peter Y. Lu, Marin Soljacic:
Deep Learning and Symbolic Regression for Discovering Parametric Equations. - Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson:
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Babak Badnava, Sravan Reddy Chintareddy, Morteza Hashemi:
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach. - Renato Sortino, Simone Palazzo, Concetto Spampinato:
Transforming Image Generation from Scene Graphs. - Abdullah Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang, Walid G. Aref:
The "AI+R"-tree: An Instance-optimized R-tree. - Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser:
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs. - Mukhlis Amien, Chong Feng, Heyan Huang:
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator. - Gideon Dresdner, Dmitrii Kochkov, Peter C. Norgaard, Leonardo Zepeda-Núñez, Jamie A. Smith, Michael P. Brenner, Stephan Hoyer:
Learning to correct spectral methods for simulating turbulent flows. - Elham E Khoda, Dylan S. Rankin, Rafael Teixeira de Lima, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang:
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. - Ekaterina Voloshina, Oleg Serikov, Tatiana Shavrina:
Is neural language acquisition similar to natural? A chronological probing study. - Katharine Patterson, Kevin W. Wilson, Scott Wisdom, John R. Hershey:
Distance-Based Sound Separation. - Achim Blumensath:
The Power-Set Construction for Tree Algebras. - Justin Kottinger, Shaull Almagor, Morteza Lahijanian:
Conflict-based Search for Multi-Robot Motion Planning with Kinodynamic Constraints. - Srijan Das, Michael S. Ryoo:
Video + CLIP Baseline for Ego4D Long-term Action Anticipation. - Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. - Sean A. Rendar, Fenglong Ma:
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. - Shaopu Wang, Xiaojun Chen, Mengzhen Kou, Jinqiao Shi:
PrUE: Distilling Knowledge from Sparse Teacher Networks. - Yanming Zhu, Xuefei Yin, Xiuping Jia, Jiankun Hu:
Pair-Relationship Modeling for Latent Fingerprint Recognition. - Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. - Jingyao Wang, Naigong Yu:
SSD-Faster Net: A Hybrid Network for Industrial Defect Inspection. - Daniel Zeng, Tailin Wu, Jure Leskovec:
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy. - Xiangfeng Zhu, Guozhen She, Bowen Xue, Yu Zhang, Yongsu Zhang, Xuan Kelvin Zou, Xiongchun Duan, Peng He, Arvind Krishnamurthy, Matthew Lentz, Danyang Zhuo, Ratul Mahajan:
Dissecting Service Mesh Overheads. - Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen:
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution. - Francisco M. Caldas, Cláudia Soares:
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding. - Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. - Binbin Yang:
Synthesis of General Decoupling Networks Using Transmission Lines. - Samanvitha Basole, Fabio Di Troia, Mark Stamp:
Multifamily Malware Models. - Zurab Khasidashvili:
Accelerating System-Level Debug Using Rule Learning and Subgroup Discovery Techniques. - Rima Hazra, Arpit Dwivedi, Animesh Mukherjee:
Is this bug severe? A text-cum-graph based model for bug severity prediction. - Felix Weitkämper:
Projectivity revisited. - Sara Mohammadinejad, Jesse Thomason, Jyotirmoy V. Deshmukh:
Interactive Learning from Natural Language and Demonstrations using Signal Temporal Logic. - Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting:
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - Yao Liu, Yannis Flet-Berliac, Emma Brunskill:
Offline Policy Optimization with Eligible Actions. - Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. - Christopher Neal, Jean-Yves De Miceli, David Barrera, José Fernandez:
Ontology-Based Anomaly Detection for Air Traffic Control Systems. - Rahayu Agustina, Leon Andretti Abdillah:
Analisis Kepuasan Pengguna Aplikasi Bintang Cash & Credit Menggunakan Metode End User Computing Satisfaction (EUCS). - Christopher L. Dancy:
Using a Cognitive Architecture to consider antiblackness in design and development of AI systems. - Zhou Lu, Elad Hazan:
Efficient Adaptive Regret Minimization. - Manolis Chiou, Georgios-Theofanis Epsimos, Grigoris Nikolaou, Pantelis Pappas, Giannis Petousakis, Stefan Mühl, Rustam Stolkin:
Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise. - Cunzhi Zhao, Xingpeng Li:
An Alternative Method for Solving Security-Constrained Unit Commitment with Neural Network Based Battery Degradation Model. - Zhiwu Zheng, Hsin Cheng, Prakhar Kumar, Sigurd Wagner, Minjie Chen, Naveen Verma, James C. Sturm:
Wirelessly-Controlled Untethered Piezoelectric Planar Soft Robot Capable of Bidirectional Crawling and Rotation. - Mitchell DeHaven, Jayadev Billa:
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training. - Andre Costa, Matteo Cusini, Tao Jin, Randolph R. Settgast, John Dolbow:
A Multi-Resolution Approach to Hydraulic Fracture Simulation. - Kevin Tracy, Taylor A. Howell, Zachary Manchester:
Differentiable Collision Detection for a Set of Convex Primitives. - Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo:
DRESS: Dynamic REal-time Sparse Subnets. - Martin Kaiser, René Griessl, Nils Kucza, Carola Haumann, Lennart Tigges, Kevin Mika, Jens Hagemeyer, Florian Porrmann, Ulrich Rückert, Micha vor dem Berge, Stefan Krupop, Mario Porrmann, Marco Tassemeier, Pedro Trancoso, Fareed Qararyah, Stavroula Zouzoula, António Casimiro, Alysson Bessani, José Cecílio, Stefan Andersson, Oliver Brunnegård, Olof Eriksson, Roland Weiss, Franz Meierhöfer, Hans Salomonsson, Elaheh Malekzadeh, Daniel Ödman, Anum Khurshid, Pascal Felber, Marcelo Pasin, Valerio Schiavoni, Jämes Ménétrey, Karol Gugula, Piotr Zierhoffer, Eric Knauss, Hans-Martin Heyn:
VEDLIoT: Very Efficient Deep Learning in IoT. - (Withdrawn) Distributed Frequency Control in Power Grids with Low and Time-Varying Inertia.
- Shibo Li, Zheng Wang, Robert M. Kirby, Shandian Zhe:
Infinite-Fidelity Coregionalization for Physical Simulation. - Mengxi Chen, Shanshan Ma, Zahra Soltani, Raja Ayyanar, Vijay Vittal, Mojdeh Khorsand:
Optimal Placement of PV Smart Inverters with Volt-VAr Control in Electric Distribution Systems. - Benjamin Wong, Wade Marquette, Nikolay Bykov, Tyler M. Paine, Ashis G. Banerjee:
Human-Assisted Robotic Detection of Foreign Object Debris Inside Confined Spaces of Marine Vessels Using Probabilistic Mapping. - Harsh Panwar:
The NPC AI of \textit{The Last of Us}: A case study. - Andreas Roth, Thomas Liebig:
Transforming PageRank into an Infinite-Depth Graph Neural Network. - Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. - Robert Wolfe, Aylin Caliskan:
American == White in Multimodal Language-and-Image AI. - Charles Khazoom, Daniel González-Díaz, Yanran Ding, Sangbae Kim:
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions. - Julen Balzategui, Luka Eciolaza:
Few-shot incremental learning in the context of solar cell quality inspection. - Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Nicolas Papernot:
Efficient Adversarial Training With Data Pruning. - David M. Williams, Qingguo Hong:
Generalized Korn's Inequalities for Piecewise H2 Vector Fields. - Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Michail Matthaiou:
Superdirective Antenna Pairs for Energy-Efficient Terahertz Massive MIMO. - Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. - Ziwen Han, Evgeniya Gorobets, Pan Chen:
Parameter efficient dendritic-tree neurons outperform perceptrons. - Fernanda Sánchez-Puig, Rogelio Lozano-Aranda, Dante Pérez-Méndez, Ewan Colman, Alfredo J. Morales-Guzmán, Carlos Pineda, Pedro Juan Rivera Torres, Carlos Gershenson:
Language statistics at different spatial, temporal, and grammatical scales. - Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles:
Separating and Collapsing Electoral Control Types. - Yang Zhao, Yan Song:
Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation. - Yanwei Jia, Xun Yu Zhou:
q-Learning in Continuous Time. - Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao:
Triangle-oriented Community Detection considering Node Features and Network Topology. - Jin Liu, Chongfeng Fan, Fengyu Zhou, Huijuan Xu:
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency. - Sarvesh Patil, Samuel C. Alvares, Pragna Mannam, Oliver Kroemer, Fatma Zeynep Temel:
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education. - Zhongyuan Zhang, Yi Qian, Yanxiang Zhao, Lin Zhu, Jinjin Wang:
Noise and Edge Based Dual Branch Image Manipulation Detection. - J. Senthilnath, Harikumar Kandath, S. Suresh:
Metacognitive Decision Making Framework for Multi-UAV Target Search Without Communication. - Zhiyu Huang, Xiaoyu Mo, Chen Lv:
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application. - Lei Cai, Yuli Fu, Wanliang Huo, Youjun Xiang, Tao Zhu, Ying Zhang, Huanqiang Zeng:
Multi-scale Attentive Image De-raining Networks via Neural Architecture Search. - William Merrill, Ashish Sabharwal:
Log-Precision Transformers are Constant-Depth Uniform Threshold Circuits. - Bharadwaj Manda, Prasad Kendre, Subhrajit Dey, Ramanathan Muthuganapathy:
SketchCleanNet - A deep learning approach to the enhancement and correction of query sketches for a 3D CAD model retrieval system. - Keyu Wen, Zhenshan Tan, Qingrong Cheng, Cheng Chen, Xiaodong Gu:
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval. - Benyou Wang, Xiangbo Wu, Xiaokang Liu, Jianquan Li, Prayag Tiwari, Qianqian Xie:
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk. - Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami:
Exponential Convergence of Sinkhorn Under Regularization Scheduling. - Shaoshan Liu, Jianda Wang, Zhendong Wang, Bo Yu, Wei Hu, Yahui Liu, Jie Tang, Shuaiwen Leon Song, Cong Liu, Yang Hu:
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System. - Xiaocheng Tang, Soheil Sadeghi Eshkevari, Haoyu Chen, Weidan Wu, Wei Qian, Xiaoming Wang:
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. - Zhi Lu, Vrizlynn L. L. Thing:
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. - Yujia Li, Shunbo Lei, Wei Sun, Chenxi Hu, Yunhe Hou:
A Distributionally Robust Resilience Enhancement Strategy for Distribution Grids Considering Decision-Dependent Contingencies. - Zeyu Xiong, Daizong Liu, Pan Zhou:
Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding. - Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang:
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units. - Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. - Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou:
Rationale-Augmented Ensembles in Language Models. - Pedro Henrique Luz de Araujo, Ana Paula G. S. de Almeida, Fabricio Ataides Braz, Nilton Correia da Silva, Flavio de Barros Vidal, Teófilo Emídio de Campos:
Sequence-aware multimodal page classification of Brazilian legal documents. - Wenli Zhu, Liangqing Luo:
Efficient and Effective Local Search for the Set-Union Knapsack Problem and Budgeted Maximum Coverage Problem. - Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang:
GUIM - General User and Item Embedding with Mixture of Representation in E-commerce. - Jianyi Yang, Shaolei Ren:
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity. - Md Mamunur Rasid, Masato Kimura, Md Masum Murshed, Erny Rahayu Wijayanti, Hirofumi Notsu:
A two-step Lagrange-Galerkin scheme for the shallow water equations with a transmission boundary condition and its application to the Bay of Bengal region. - Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu, Paolo Rosso:
An End-to-End Set Transformer for User-Level Classification of Depression and Gambling Disorder. - Chong Zheng, Shengheng Liu, Yongming Huang, Wei Zhang, Luxi Yang:
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks. - Liumeng Xue, Shan Yang, Na Hu, Dan Su, Lei Xie:
Learning Noise-independent Speech Representation for High-quality Voice Conversion for Noisy Target Speakers. - Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker:
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. - Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. - Jiaxiang Liu, Yunhan Xing, Xiaomu Shi, Fu Song, Zhiwu Xu, Zhong Ming:
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks. - Shahaf Bassan, Yossi Adi, Jeffrey S. Rosenschein:
Unsupervised Symbolic Music Segmentation using Ensemble Temporal Prediction Errors. - Ruinan Jin, Xiaoxiao Li:
Backdoor Attack is A Devil in Federated GAN-based Medical Image Synthesis. - Shiyuan Hu, Shihan Xiao:
Hierarchical Dynamic Routing in Complex Networks via Topologically-decoupled and Cooperative Reinforcement Learning Agents. - Kai Jin, Danna Zhang, Canhui Zhang:
Sum-of-Max Partition under a Knapsack Constraint. - Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. - Zhengchuan Chen, Dapeng Deng, Howard H. Yang, Nikolaos Pappas, Limei Hu, Yunjian Jia, Min Wang, Tony Q. S. Quek:
Analysis of Age of Information in Dual Updating Systems. - Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu:
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. - Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi:
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification. - Ebrahim Chekol Jibril, A. Cüneyd Tantug:
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer. - Michael Chang, Thomas L. Griffiths, Sergey Levine:
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation. - Weitao Zhou, Zhong Cao, Yunkang Xu, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang:
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles. - Chenyu Wu, Changsheng You, Yuanwei Liu, Shuo Shi, Marco Di Renzo:
Two-Timescale Design for STAR-RIS Aided NOMA Systems. - Carlo Monjaraz-Tec, Lukas Kohlmann, Stefan Schwarz, Andreas Hartung, Johann Gross, Malte Krack:
Prediction and validation of the strongly modulated forced response of two beams undergoing frictional impacts. - Yujia Sun, Shuo Wang, Chenglizhao Chen, Tian-Zhu Xiang:
Boundary-Guided Camouflaged Object Detection. - Felix Gehr, Timo Theurich, Carlo Monjaraz-Tec, Johann Gross, Stefan Schwarz, Andreas Hartung, Malte Krack:
Computational and experimental analysis of the impact of a sphere on a beam and the resulting modal energy distribution. - Yuping Ye, Siyuan Chen, Zhan Song:
Benchmarks for Industrial Inspection Based on Structured Light. - Xu Chang, Zhitong Zhang, Honglei An, Hongxu Ma, Qing Wei:
Learning fast and agile quadrupedal locomotion over complex terrain. - Maheshya Weerasinghe, Aaron Quigley, Klen Copic Pucihar, Alice Toniolo, Angela Miguel, Matjaz Kljun:
Arigatō: Effects of Adaptive Guidance on Engagement and Performance in Augmented Reality Learning Environments. - Keita Ishizuka:
Construction of quaternary Hermitian LCD codes. - Xingyu Wu, Jinyang Li:
An AIoT-enabled Autonomous Dementia Monitoring System. - Ágoston Sipos:
Corner-based implicit patches. - Haifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen, Guanbin Li:
Less is More: Adaptive Curriculum Learning for Thyroid Nodule Diagnosis. - Katherine M. Collins, Umang Bhatt, Adrian Weller:
Eliciting and Learning with Soft Labels from Every Annotator. - Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. - Davide Stirparo, Beatrice Penna, Mohammad Kazemi, Ariona Shashaj:
Mining Tourism Experience on Twitter: A case study. - Berlin Chen, Cyrus Mostajeran, Salem Said:
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. - Mohammed Al-Tajer, Richard Adeyemi Ikuesan:
Cyber Security Threat Awareness Framework for High School Students in Qatar. - Alexander Serov:
Kernel Based Cognitive Architecture for Autonomous Agents. - Armando Castañeda, Hans van Ditmarsch, David A. Rosenblueth, Diego A. Velázquez:
Communication Pattern Logic: Epistemic and Topological Views. - Hongde Wu, Mingming Liu:
Lane-GNN: Integrating GNN for Predicting Drivers' Lane Change Intention. - Honghua Chen, Zeyong Wei, Yabin Xu, Mingqiang Wei, Jun Wang:
ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs. - Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun:
Firenze: Model Evaluation Using Weak Signals. - Eleftherios Kapelonis, Efthymios Georgiou, Alexandros Potamianos:
A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking. - Rongsheng Wu, Xiande Zhang:
Balanced reconstruction codes for single edits. - Jingyao Wang, Naigong Yu:
UTD-Yolov5: A Real-time Underwater Targets Detection Method based on Attention Improved YOLOv5. - Zhiwen Zhang, Hongjun Wang, Jiyuan Chen, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation. - Huanhui Cao, Zhiyuan Cai, Hairuo Wei, Wenjie Lu, Lin Zhang, Hao Xiong:
Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance. - Joris Ceulemans, Andreas Nuyts, Dominique Devriese:
Sikkel: Multimode Simple Type Theory as an Agda Library. 93-112 - Josafat-Mattias Burmeister, Marcel Fernandez Rosas, Johannes Hagemann, Jonas Kordt, Jasper Blum, Simon Shabo, Benjamin Bergner, Christoph Lippert:
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation. - Martin Elsman, Fritz Henglein, Robin Kaarsgaard, Mikkel Kragh Mathiesen, Robert Schenck:
Combinatory Adjoints and Differentiation. 1-26 - Peter Kourzanov:
Tableless Calculation of Circular Functions on Dyadic Rationals. 45-70 - Fritz Henglein, Robin Kaarsgaard, Mikkel Kragh Mathiesen:
The Programming of Algebra. 71-92 - Dylan McDermott, Tarmo Uustalu:
What Makes a Strong Monad? 113-133 - Alexandre Garcia de Oliveira, Mauro Jaskelioff, Ana Cristina Vieira de Melo:
On Structuring Functional Programs with Monoidal Profunctors. 134-150 - Leon Yan, Santosh Devasia:
Precision Data-enabled Koopman-type Inverse Operators for Linear Systems. - Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti:
Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition. - Marcin Kowalczyk, Tomasz Kryjak:
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm. - Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Sangpil Kim, Jinkyu Kim:
ORA3D: Overlap Region Aware Multi-view 3D Object Detection. - Travis LaCroix:
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial. - Najeeb Jebreel, Josep Domingo-Ferrer:
FL-Defender: Combating Targeted Attacks in Federated Learning. - Salim Janji, Adrian Kliks:
Energy-efficient User Clustering for UAV-enabled Wireless Networks Using EM Algorithm. - Salim Janji, Adrian Kliks:
Neural Networks for Path Planning. - Shaina Raza, Brian Schwartz:
A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities. - Douglas Blackiston, Sam Kriegman, Josh C. Bongard, Michael Levin:
Biological Robots: Perspectives on an Emerging Interdisciplinary Field. - Kun Wei, Pengcheng Guo, Ning Jiang:
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism. - Vassil Yorgov:
Derivatives of Complete Weight Enumerators and New Balance Principle of Binary Self-Dual Codes. - Xiaohao Xu, Jinglu Wang, Xiang Ming, Yan Lu:
Towards Robust Video Object Segmentation with Adaptive Object Calibration. - Tyson Brooks:
The Professionalization of the Hacker Industry. - Md. Jobair Hossain Faruk, Santhiya Subramanian, Hossain Shahriar, Maria Valero, Xia Li, Masrura Tasnim:
Software Engineering Process and Methodology in Blockchain-Oriented Software Development: A Systematic Study. - Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan C. Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. - Maheshya Weerasinghe, Verena Biener, Jens Grubert, Aaron J. Quigley, Alice Toniolo, Klen Copic Pucihar, Matjaz Kljun:
VocabulARy: Learning Vocabulary in AR Supported by Keyword Visualisations. - Anetta Jedlickova, Martin Loebl, David Sychrovsky:
Critical Distribution System. - Marija Ivanovska, Andrej Kronovsek, Peter Peer, Vitomir Struc, Borut Batagelj:
Face Morphing Attack Detection Using Privacy-Aware Training Data. - Tamir Shaqarin, Bernd R. Noack:
A fast converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME). - Jamshid Sourati, James Evans:
Complementary artificial intelligence designed to augment human discovery. - Seyyed Mostafa Mousavi Janbeh Sarayi, Mansour Nikkhah Bahrami:
A Structured Sparse Neural Network and Its Matrix Calculations Algorithm. - Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez:
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets. - Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff:
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. - Hassan Wagih, Mostafa Osman, Mohammed I. Awad, Sherif Hammad:
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks. - Satvik Sharma, Ellen R. Novoseller, Vainavi Viswanath, Zaynah Javed, Rishi Parikh, Ryan Hoque, Ashwin Balakrishna, Daniel S. Brown, Ken Goldberg:
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies. - Yuhao Nie, Xiatong Li, Andea Scott, Yuchi Sun, Vignesh Venugopal, Adam Brandt:
SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting. - Zoe Xi, William Kuszmaul:
Approximating Dynamic Time Warping Distance Between Run-Length Encoded Strings. - Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert:
An AlphaZero-Inspired Approach to Solving Search Problems. - Junaid Rasheed, Michal Konecný:
Auto-active Verification of Floating-point Programs via Nonlinear Real Provers. - Maria Angelika-Nikita, Celso M. de Melo, Kazunori Terada, Gale M. Lucas, Jonathan Gratch:
The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis. - Sepehr Assadi, Aaron Bernstein, Aditi Dudeja:
Decremental Matching in General Graphs. - Qidan Zhu, Jing Li, Fei Yuan, Quan Gan:
Continuous Sign Language Recognition via Temporal Super-Resolution Network. - Toshiki Kawamoto, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura:
Generating Repetitions with Appropriate Repeated Words. - Jiaxin Wu, Pingfeng Wang:
Graph Learning based Generative Design for Resilience of Interdependent Network Systems. - Wei Tang, Margaret Martonosi:
ScaleQC: A Scalable Framework for Hybrid Computation on Quantum and Classical Processors. - Mingsheng Yin, Yaqi Hu, Tommy Azzino, Seongjoon Kang, Marco Mezzavilla, Sundeep Rangan:
Wireless Channel Prediction in Partially Observed Environments. - Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. - Huan Yee Koh, Jiaxin Ju, Ming Liu, Shirui Pan:
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics. - Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus, Taskin Padir:
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. - Fuzhi Yang, Huan Yang, Yanhong Zeng, Jianlong Fu, Hongtao Lu:
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution. - Cong Yue, Tien Tuan Anh Dinh, Zhongle Xie, Meihui Zhang, Gang Chen, Beng Chin Ooi, Xiaokui Xiao:
GlassDB: Practical Verifiable Ledger Database Through Transparency. - Jinming Zhao, Hao Yang, Ehsan Shareghi, Gholamreza Haffari:
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation. - Shi-Liang Wu, Cui-Xia Li:
The error bounds and perturbation bounds of the absolute value equations and some applications. - Edith Cohen, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. - Kumar Vijay Mishra, Samuel Pinilla, Ali Pezeshki, A. Robert Calderbank:
Group-Theoretic Wideband Radar Waveform Design. - Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan:
WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects. - Chang Sun, Zili Wang, Shuyou Zhang, Taotao Zhou, Jie Li, Jianrong Tan:
Digital-twin-enhanced metal tube bending forming real-time prediction method based on Multi-source-input MTL. - Jiajun Chai, Yuanheng Zhu, Dongbin Zhao:
NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. - Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, Sam Kwong:
Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement. - Chris Schwiegelshohn, Omar Ali Sheikh-Omar:
An Empirical Evaluation of k-Means Coresets. - Dingzhu Wen, Peixi Liu, Guangxu Zhu, Yuanming Shi, Jie Xu, Yonina C. Eldar, Shuguang Cui:
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI. - Ting Li, Bin Wang:
Continuous-stage symplectic adapted exponential methods for charged-particle dynamics with arbitrary electromagnetic fields. - Zsuzsanna Lipták, Francesco Masillo, Simon J. Puglisi:
Suffix sorting via matching statistics. - Lin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang:
Trichomonas Vaginalis Segmentation in Microscope Images. - Youjia Wang, Teng Xu, Yiwen Wu, Minzhang Li, Wenzheng Chen, Lan Xu, Jingyi Yu:
NARRATE: A Normal Assisted Free-View Portrait Stylizer. - Nguyen Ha Thanh:
Understanding Tieq Viet with Deep Learning Models. - Julia Tan, Ransalu Senanayake, Fabio Ramos:
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills. - Dmytro Lande, Volodymyr Yuzefovych, Yevheniia Tsybulska:
Linguistic Approach to Time Series Forecasting. - Edoardo Cetin, Philip J. Ball, Stephen J. Roberts, Oya Çeliktutan:
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels. - Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. - Huaying Xue, Xiulian Peng, Xue Jiang, Yan Lu:
Towards Error-Resilient Neural Speech Coding. - (Withdrawn) Dynamic boxes fusion strategy in object detection.
- Pierluigi Poggiolini, Mahdi Ranjbar Zefreh:
Closed Form Expressions of the Nonlinear Interference for UWB Systems. - Diego Guffanti, Alberto Brunete, Miguel Hernando, David Álvarez, Javier Rueda, Enrique Navarro:
Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis. - Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. - Menna Hassan, Nourhan Sakr, Arthur Charpentier:
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach. - Iqra Ameer, Muhammad Arif, Grigori Sidorov, Helena Gómez-Adorno, Alexander F. Gelbukh:
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning. - Ahmed Samir Imam Mahmoud, Tapajit Dey, Alexander Nolte, Audris Mockus, James D. Herbsleb:
One-off Events? An Empirical Study of Hackathon Code Creation and Reuse. - Tobias Glasmachers:
Recipe for Fast Large-scale SVM Training: Polishing, Parallelism, and more RAM! - Johannah Sprinz:
"Y'all are just too sensitive": A computational ethics approach to understanding how prejudice against marginalized communities becomes epistemic belief. - Marco Virgolin, Solon P. Pissis:
Symbolic Regression is NP-hard. - Muhammad Bilal Qureshi, Hyeok Kim, Muhammad Fayaz, Pravin Pawar:
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction. - Shalev Shaer, Yaniv Romano:
Learning to Increase the Power of Conditional Randomization Tests. - Tatsuya Gima, Takehiro Ito, Yasuaki Kobayashi, Yota Otachi:
Algorithmic Meta-Theorems for Combinatorial Reconfiguration Revisited. - Fabio Bergonti, Gabriele Nava, Luca Fiorio, Giuseppe L'Erario, Daniele Pucci:
Modeling and Control of Morphing Covers for the Adaptive Morphology of Humanoid Robots. - Fabio Bergonti, Luca Fiorio, Daniele Pucci:
Torque and velocity controllers to perform jumps with a humanoid robot: theory and implementation on the iCub robot. - You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu:
Finding Top-r Influential Communities under Aggregation Functions. - Wu Zheng, Li Jiang, Fanbin Lu, Yangyang Ye, Chi-Wing Fu:
Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds. - Bertrand Teguia Tabuguia, Wolfram Koepf:
FPS In Action: An Easy Way To Find Explicit Formulas For Interlaced Hypergeometric Sequences. - Alexander Schperberg, Yuki Shirai, Xuan Lin, Yusuke Tanaka, Dennis W. Hong:
Auto-Calibrating Admittance Controller for Robust Motion of Robotic Systems. - Qingshuai Feng, You Peng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Towards Real-Time Counting Shortest Cycles on Dynamic Graphs: A Hub Labeling Approach. - Jinze Li, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Shaoyun Xu, Tao Bai:
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning. - Bertrand Teguia Tabuguia:
Guessing With Quadratic Differential Equations. - Fleurianne Bertrand, Carsten Carstensen, Benedikt Gräßle, Ngoc Tien Tran:
Stabilization-free HHO a posteriori error control. - Taha Yasseri, Patrick Gildersleve, Lea David:
Collective Memory in the Digital Age. - Paul Guerrero, Milos Hasan, Kalyan Sunkavalli, Radomír Mech, Tamy Boubekeur, Niloy J. Mitra:
MatFormer: A Generative Model for Procedural Materials. - Karl A. Kalina, Lennart Linden, Jörg Brummund, Markus Kästner:
FEANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining. - Negar Hashemi, Amjed Tahir, Shawn Rasheed:
An Empirical Study of Flaky Tests in JavaScript. - Benjamin Lion, Farhad Arbab, Carolyn L. Talcott:
A Formal Framework for Distributed Cyber-Physical Systems. - Jinrui Zhang, Teng Wang, Feng Zheng, Ran Cheng, Ping Luo:
Exploiting Context Information for Generic Event Boundary Captioning. - Dimitrios Stoidis, Andrea Cavallaro:
Generating gender-ambiguous voices for privacy-preserving speech recognition. - Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. - Kristian Miok, Encarnacion Hidalgo-Tenorio, Petya Osenova, Miguel-Angel Benitez-Castro, Marko Robnik-Sikonja:
Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis. - Mame Gor Ngom, Ibrahima Faye, Diaraf Seck:
On shape and topological optimization problems with constraints Helmholtz equation and spectral problems. - Yi Zhang, Junyang Wang, Jitao Sang:
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models. - Weiming Zhuang, Chongjie Ye, Ying Xu, Pengzhi Mao, Shuai Zhang:
Chat-to-Design: AI Assisted Personalized Fashion Design. - Matthew Groh:
Identifying the Context Shift between Test Benchmarks and Production Data. - Uisub Shin, Cong Ding, Virginia Woods, Alik S. Widge, Mahsa Shoaran:
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC. - Ting-Jui Chang, Shahin Shahrampour:
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. - Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. - Xiaoke Shen, Zhujun Li, Jaime Canizales, Ioannis Stamos:
You Only Need One Detector: Unified Object Detector for Different Modalities based on Vision Transformers. - Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Sub-cluster-aware Network for Few-shot Skin Disease Classification. - Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing:
Divert More Attention to Vision-Language Tracking. - Renrui Zhang, Ziyao Zeng, Ziyu Guo:
Can Language Understand Depth? - Kenneth Ooi, Zhen-Ting Ong, Karn N. Watcharasupat, Bhan Lam, Joo Young Hong, Woon-Seng Gan:
ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes. - Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam:
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. - Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. - Nathan Hubens:
FasterAI: A Lightweight Library for Creating Sparse Neural Networks. - Minh Nguyen, Nicolas Wu:
Folding over Neural Networks. - Fausto Giunchiglia, Mayukh Bagchi:
Representation Heterogeneity. - Alexander Schäfer, Gerd Reis, Didier Stricker:
The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments. - Yun Liao, Seyyed Ali Hashemi, Hengjie Yang, John M. Cioffi:
Scalable Polar Code Construction for Successive Cancellation List Decoding: A Graph Neural Network-Based Approach. - Vahid Reza Khazaie, Anthony Wong, John Taylor Jewell, Yalda Mohsenzadeh:
Anomaly Detection with Adversarially Learned Perturbations of Latent Space. - Sujoy Bhore, Fabian Klute, Jelle J. Oostveen:
On Streaming Algorithms for Geometric Independent Set and Clique. - Václav Blazej, Pratibha Choudhary, Dusan Knop, Simon Schierreich, Ondrej Suchý, Tomás Valla:
On Polynomial Kernels for Traveling Salesperson Problem and its Generalizations. - Vahid Reza Khazaie, Anthony Wong, Yalda Mohsenzadeh:
Augment to Detect Anomalies with Continuous Labelling. - Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel F. Valstar:
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities? - Shuheng Liu, Xiyue Huang, Pavlos Protopapas:
Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems. - Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias:
USHER: Unbiased Sampling for Hindsight Experience Replay. - Guangji Bai, Liang Zhao:
Saliency-Regularized Deep Multi-Task Learning. - Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi:
PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration. - Noam Gottlieb, Michael Werman:
DecisioNet: A Binary-Tree Structured Neural Network. - Shin-Ichi Nakano:
A Gray Code of Ordered Trees. - Giulia Perugia, Dominika Lisy:
Robot's Gendering Trouble: A Scoping Review of Gendering Humanoid Robots and its Effects on HRI. - Zhenyu Zhang, Anas Chaaban:
Capacity Bounds for the Two-User IM/DD Interference Channel. - Lingyu Zhu, Esa Rahtu, Hang Zhao:
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision. - Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little:
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce. - Dimitrios Kollias:
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges. - Stanislaw Szufa, Piotr Faliszewski, Lukasz Janeczko, Martin Lackner, Arkadii Slinko, Krzysztof Sornat, Nimrod Talmon:
How to Sample Approval Elections? - Meghal Gupta, Rachel Yun Zhang:
Efficient Interactive Coding Achieving Optimal Error Resilience Over the Binary Channel. - Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu:
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. - Alexandros Dimitrios Keros, Kartic Subr:
Generalized Spectral Coarsening. - Valentina Breschi, Andrea Sassella, Simone Formentin:
Data-driven design of explicit predictive controllers using model-based priors. - Keshav Kasichainula, Hadi Mansourifar, Weidong Shi:
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries. - Bin Chen, Yi Lei, Gabriele Liga, Zhiwei Liang, Wei Ling, Xuwei Xue, Alex Alvarado:
Geometrically-Shaped Multi-Dimensional Modulation Formats in Coherent Optical Transmission Systems. - Dinh Dung, Van Kien Nguyen:
Optimal numerical integration and approximation of functions on Rd equipped with Gaussian measure. - Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. - Danpeng Chen, Shuai Wang, Weijian Xie, Shangjin Zhai, Nan Wang, Hujun Bao, Guofeng Zhang:
VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM. - Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang:
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. - Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang:
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. - Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-absent Human Attention. - Chang Liu, Yugong Luo, Pengfei Li, Chunhui Xing, Weiwei Kong:
An Extendable Maneuver Management Framework with Fault-Tolerant Mechanism for Vehicle Platoon Control System in Highway Scenario. - Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. - Alessandra Carneiro, Lorena Nascimento, Mauricio Noernberg, Carmem S. Hara, Aurora T. R. Pozo:
Portuguese Man-of-War Image Classification with Convolutional Neural Networks. - Chang Liu, Gang Yang, Shuo Wang, Hangxu Wang, Yunhua Zhang, Yutao Wang:
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection. - Yuhang Wang, Guiyu Cao, Liang Pan:
Multiple-GPU accelerated high-order gas-kinetic scheme for direct numerical simulation of compressible turbulence. - Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. - Wendi Zuo, Xinmin Hou:
An Improved Probability Propagation Algorithm for Density Peak Clustering Based on Natural Nearest Neighborhood. - Yusuke Tanaka, Yuki Shirai, Xuan Lin, Alexander Schperberg, Hayato Kato, Alexander Swerdlow, Naoya Kumagai, Dennis W. Hong:
SCALER: A Tough Versatile Quadruped Free-Climber Robot. - Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. - Sandy Ardianto, Hsueh-Ming Hang, Wen-Huang Cheng:
Fast Vehicle Detection and Tracking on Fisheye Traffic Monitoring Video using CNN and Bounding Box Propagation. - Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li:
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. - Jiashu Wu:
Learning to Rank with Small Set of Ground Truth Data. - Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
Learning node embeddings via summary graphs: a brief theoretical analysis. - Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. - Huimin Chen, Fengran Mo, Cen Chen, Jamie Cui, Jian-Yun Nie:
A Customised Text Privatisation Mechanism with Differential Privacy. - Xiaoyu Wang, Xiangyu Kong, Xiulian Peng, Yan Lu:
Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation. - Tao Li, Xinsheng Wang, Qicong Xie, Zhichao Wang, Mingqi Jiang, Lei Xie:
Cross-speaker Emotion Transfer Based On Prosody Compensation for End-to-End Speech Synthesis. - Jiahao Liang, Weihong Deng:
Identifying Rhythmic Patterns for Face Forgery Detection and Categorization. - Jiahang Zhang, Lilang Lin, Zejia Fan, Wenjing Wang, Jiaying Liu:
S5Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation. - Fernando Giner:
On the Effect of Ranking Axioms on IR Evaluation Metrics. - Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Yan Lu, Bhiksha Raj:
R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency. - Eugene P. W. Ang, Shan Lin, Rahul Ahuja, Nemath Ahmed, Alex C. Kot:
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics. - Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan:
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. - Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. - Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. - Xiangri Lu:
Analysis of Robocode Robot Adaptive Confrontation Based on Zero-Sum Game. - Junbo Zhang, Weiwei Wan, Nobuyuki Tanaka, Miki Fujita, Kensuke Harada:
Integrating a Manual Pipette into a Collaborative Robot Manipulator for Flexible Liquid Dispensing. - Cheng Zou, Furong Xu, Meng Wang, Wen Li, Yuan Cheng:
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022. - Oshri Naparstek, Ophir Azulai, Daniel Rotman, Yevgeny Burshtein, Peter W. J. Staar, Udi Barzelay:
BusiNet - a Light and Fast Text Detection Network for Business Documents. - Chenggang Shan, Guan Wang, Yuanqing Xia, Yufeng Zhan, Jinhui Zhang:
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes. - Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian:
A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction. - Shahid Alam:
Cybersecurity: Past, Present and Future. - K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu:
Segmentation Guided Deep HDR Deghosting. - Kaitao Meng, Qingqing Wu, Robert Schober, Wen Chen:
Intelligent Reflecting Surface Enabled Multi-Target Sensing. - Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling. - Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen:
Look beyond labels: Incorporating functional summary information in Bayesian neural networks. - Elias Samuel Wirth, Hiroshi Kera, Sebastian Pokutta:
Approximate Vanishing Ideal Computations at Scale. - Zhongxiang Chang, Yuning Chen, Zhongbao Zhou:
Satellite downlink scheduling under breakpoint resume mode. - Ye Liu, Lingfeng Qiao, Di Yin, Zhuoxuan Jiang, Xinghua Jiang, Deqiang Jiang, Bo Ren:
OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification. - Fabian Küppers, Jonas Schneider, Anselm Haselhoff:
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. - Zhenyu Kang, Changsheng You, Rui Zhang:
Active-Passive IRS aided Wireless Communication: New Hybrid Architecture and Elements Allocation Optimization. - Yair Neuman, Yochai Cohen:
A Permutation-Based Heuristic for Buy Low, Sell High. - Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows. - Bohan Yang, Bo Lu, Wei Chen, Fangxun Zhong, Yun-Hui Liu:
Model-Free 3D Shape Control of Deformable Objects Using Novel Features Based on Modal Analysis. - Zhongxiang Chang, Zhongbao Zhou:
Three multi-objective memtic algorithms for observation scheduling problem of active-imaging AEOS. - Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai:
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. - Emad Shihab, Stefan Wagner, Marco Aurélio Gerosa, Mairieli Santos Wessel, Jordi Cabot:
The Present and Future of Bots in Software Engineering. - Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang:
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. - Ran Yu, Limock, Stefan Dietze:
Still Haven't Found What You're Looking For - Detecting the Intent of Web Search Missions from User Interaction Features. - Zhongxiang Chang, Abraham P. Punnen, Zhongbao Zhou:
Multi-strip observation scheduling problem for ac-tive-imaging agile earth observation satellites. - Xiao Qi, Mejdi Azaïez, Can Huang, Chuanju Xu:
An efficient numerical approach for stochastic evolution PDEs driven by random diffusion coefficients and multiplicative noise. - Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha:
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution. - Zhanheng Yang, Hang Lv, Xiong Wang, Ao Zhang, Lei Xie:
Minimizing Sequential Confusion Error in Speech Command Recognition. - Leonid Boytsov, Tianyi Lin, Fangwei Gao, Yutian Zhao, Jeffrey Huang, Eric Nyberg:
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and Leaderboarding. - Antonino Favano, Marco Ferrari, Maurizio Magarini, Luca Barletta:
The Capacity of Fading Vector Gaussian Channels Under Amplitude Constraints on Antenna Subsets. - Zhanheng Yang, Sining Sun, Jin Li, Xiaoming Zhang, Xiong Wang, Long Ma, Lei Xie:
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer. - Benjamin Hilprecht, Christian Hammacher, Eduardo Souza dos Reis, Mohamed Abdelaal, Carsten Binnig:
DiffML: End-to-end Differentiable ML Pipelines. - Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang:
FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Shivansh Beohar, Fabian Heinrich, Rahul Kala, Helge J. Ritter, Andrew Melnik:
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space. - Javier Garcia, Michael Yannuzzi, Peter Kramer, Christian Rieck, Aaron T. Becker:
Connected Reconfiguration of Polyominoes Amid Obstacles using RRT. - Zhiguang Zhao:
Sahlqvist-Type Completeness Theory for Hybrid Logic with Binder. - Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Game State Learning via Game Scene Augmentation. - Gangli Liu:
A New Index for Clustering Evaluation Based on Density Estimation. - Ester Gonzalez-Sosa, Andrija Gajic, Diego González Morín, Guillermo Robledo, Pablo Pérez, Álvaro Villegas:
Real Time Egocentric Segmentation for Video-self Avatar in Mixed Reality. - Wenhao Wu, Zhun Sun, Wanli Ouyang:
Transferring Textual Knowledge for Visual Recognition. - Jingyao Zhang, Hoda Naghibijouybari, Elaheh Sadredini:
Sealer: In-SRAM AES for High-Performance and Low-Overhead Memory Encryption. - Alexandre Anahory Simoes, Efstratios Stratoglou, Anthony M. Bloch, Leonardo J. Colombo:
Virtual Nonholonomic Constraints: A Geometric Approach. - Xueyan Yin, Feifan Li, Yanming Shen, Heng Qi, Baocai Yin:
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction. - Hoang Thi Thu Uyen, Nguyen Anh Tu, Ta Duc Huy:
Vietnamese Capitalization and Punctuation Recovery Models. - Syed Salman Alam, Muhammad Al-Qurishi, Riad Souissi:
Estimating indoor crowd density and movement behavior using WiFi Sensing. - Hannes Bartz, Thomas Jerkovits, Johan Rosenkilde:
Fast Kötter-Nielsen-Høholdt Interpolation over Skew Polynomial Rings and its Application in Coding Theory. - Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W. H. Lau:
Harmonizer: Learning to Perform White-Box Image and Video Harmonization. - Xurxo Rigueira, Javier Martinez, Maria Araujo, Antonio Recaman:
Computer vision application for improved product traceability in the granite manufacturing industry. - Namita Behera, Avisek Bist:
Fiedler Linearizations of Multivariable State-Space System and its Associated System Matrix. - Håkan Runvik, Alexander Medvedev:
Input Sequence and Parameter Estimation in Impulsive Biomedical Models. - Salih Furkan Akkurt, Büsra Marsan, Suzan Uskudarli:
BoAT v2 - A Web-Based Dependency Annotation Tool with Focus on Agglutinative Languages. - Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Wenting Song, Huajun Chen:
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning. - Wenyu Liu, Wentong Li, Jianke Zhu, Miaomiao Cui, Xuansong Xie, Lei Zhang:
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters. - Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento:
The least-control principle for learning at equilibrium. - Kevin Qinghong Lin, Alex Jinpeng Wang, Rui Yan, Eric Zhongcong Xu, Rong-Cheng Tu, Yanru Zhu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, Hongfa Wang, Wei Liu, Mike Zheng Shou:
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022. - Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi, Periklis Petropoulos, Metodi P. Yankov:
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling. - Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause:
Safe Reinforcement Learning via Confidence-Based Filters. - Tephilla Prince, Atif Abdur Rahman, Sheerazuddin Syed:
Formal Verification of Safety Properties Using Interpolation and k-induction. - Jiaxin Wei, Lan Hu, Chenyu Wang, Laurent Kneip:
Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database. - Bartosz Kusmierz, Roman Overko:
How centralized is decentralized? Comparison of wealth distribution in coins and tokens. - Yuzhong Zhao, Yuanqiang Cai, Weijia Wu, Weiqiang Wang:
Explore Faster Localization Learning For Scene Text Detection. - Luca Ballotta, Giacomo Como, Jeff S. Shamma, Luca Schenato:
Can Competition Outperform Collaboration? The Role of Malicious Agents. - Xiaogang Xu, Yitong Yu, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Jiaya Jia:
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes. - Tommaso Bevilacqua, Simone Scacchi:
BDDC preconditioners for divergence free virtual element discretizations of the Stokes equations. - Philip B. Stark:
Non(c)esuch Ballot-Level Risk-Limiting Audits for Precinct-Count Voting Systems. - Andrea Pimpinella, Federico Di Giusto, Alessandro Redondi, Luisa Venturini, Andrea Pavon:
Forecasting Busy-Hour Downlink Traffic in Cellular Networks. - Eitan Kosman, Dotan Di Castro:
GraphVid: It Only Takes a Few Nodes to Understand a Video. - Su Been Lee, WonJun Moon, Jae-Pil Heo:
Task Discrepancy Maximization for Fine-grained Few-Shot Classification. - Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger:
Detection of ADHD based on Eye Movements during Natural Viewing. - Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. - Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin:
Multi-granularity Item-based Contrastive Recommendation. - Chunzhi Gu, Jun Yu, Chao Zhang:
Learning Disentangled Representations for Controllable Human Motion Prediction. - André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger:
GAN-based generation of realistic 3D data: A systematic review and taxonomy. - Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang:
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. - Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani:
Autonomous Drug Design with Multi-armed Bandits. - Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. - Namwoo Lee, Hyunsu Kim, Gayoung Lee, Sungjoo Yoo, Yunjey Choi:
Memory Efficient Patch-based Training for INR-based GANs. - Yaguan Qian, Yuqi Wang, Bin Wang, Zhaoquan Gu, Yuhan Guo, Wassim Swaileh:
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning. - Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
Large-scale Robustness Analysis of Video Action Recognition Models. - Daniel Etiemble:
Two New CNTFET Quaternary Full Adders for Carry-Propagate Adders. - Elvys Linhares Pontes, Mohamed Benjannet, José G. Moreno, Antoine Doucet:
Using contextual sentence analysis models to recognize ESG concepts. - Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. - Zhikai Li, Qingyi Gu:
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference. - Björn Lindqvist, Sina Sharif Mansouri, Jakub Haluska, George Nikolakopoulos:
Reactive Navigation of an Unmanned Aerial Vehicle with Perception-based Obstacle Avoidance Constraints. - Rubén Izquierdo, Álvaro Quintanar, David Fernández Llorca, Iván García Daza, Noelia Hernández, Ignacio Parra, Miguel Ángel Sotelo:
Vehicle Trajectory Prediction on Highways Using Bird Eye View Representations and Deep Learning. - Jil Klünder, Oliver Karras:
Meetings and Mood - Related or Not? Insights from Student Software Projects. - Loïc Bidoux, Pierre Briaud, Maxime Bros, Philippe Gaborit:
RQC revisited and more cryptanalysis for Rank-based Cryptography. - Haofeng Yuan, Peng Jiang, Shiji Song:
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. - Zhongxiang Chang, Zhongbao Zhou:
Satellite image data downlink scheduling problem with family attribute: Model &Algorithm. - Erik Härkönen, Miika Aittala, Tuomas Kynkäänniemi, Samuli Laine, Timo Aila, Jaakko Lehtinen:
Disentangling Random and Cyclic Effects in Time-Lapse Sequences. - Kai Ploeger, Jan Peters:
Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. - Jing Wang, Lingfei Xuan, Wenxuan Wang, Tianxiang Zhang, Jiangyun Li:
Positive-Negative Equal Contrastive Loss for Semantic Segmentation. - Yuki Shirai, Xuan Lin, Alexander Schperberg, Yusuke Tanaka, Hayato Kato, Varit Vichathorn, Dennis W. Hong:
Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots. - Yuqi Wang, Zhiqiang He, Shenghui Huang, Huabin Du:
A Robust Ensemble Model for Patasitic Egg Detection and Classification. - Gianluigi Lopardo, Damien Garreau:
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data. - Yang Li, Shixin Zhu:
On Constructions of New MDS Codes with Arbitrary-Dimensional Galois Hulls. - Qingguo Hong, Limin Ma, Jinchao Xu:
An efficient iterative method for dynamical Ginzburg-Landau equations. - Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao:
Dynamic Contrastive Distillation for Image-Text Retrieval. - Yu Kawano, Michele Cucuzzella, Shuai Feng, Jacquelien M. A. Scherpen:
Krasovskii and Shifted Passivity Based Output Consensus. - Benjamin Post, Cosmin Badea, Aldo Faisal, Stephen J. Brett:
Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus. - Yue Qin, Xiaojing Liao:
Cybersecurity Entity Alignment via Masked Graph Attention Networks. - Georgios Koukis:
Satellite assisted disrupted communications in OMNeT++: Experiments and IoT Case Study. - Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley:
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. - Christian Löwens, Inaam Ashraf, Alexander Gembus, Genesis Cuizon, Jonas K. Falkner, Lars Schmidt-Thieme:
Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning. - Liling Gong, Ye Guo, Hongbin Sun:
MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets. - Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. - Maximilian Brunner, Weixuan Zhang, Ahmad Roumie, Marco Tognon, Roland Siegwart:
MPC with Learned Residual Dynamics with Application on Omnidirectional MAVs. - Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang:
Open-world Semantic Segmentation for LIDAR Point Clouds. - Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann:
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos. - Giuliano Cornacchia, Matteo Böhm, Giovanni Mauro, Mirco Nanni, Dino Pedreschi, Luca Pappalardo:
How Routing Strategies Impact Urban Emissions. - Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser:
Generalisable Methods for Early Prediction in Interactive Simulations for Education. - Itai Boneh, Robert Krauthgamer:
Optimal Vertex-Cut Sparsification of Quasi-Bipartite Graphs. - Xincheng Yao, Chongyang Zhang, Ruoqi Li:
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Better Anomaly Detection. - Alexandros Kontogiannis, Matthew P. Juniper:
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem. - Xing Hu, Sam Toueg:
On implementing SWMR registers from SWSR registers in systems with Byzantine failures. - Rui Wang, Chongwei Liu, Xudong Mou, Xiaohui Guo, Kai Gao, Pin Liu, Tianyu Wo, Xudong Liu:
Deep Contrastive One-Class Time Series Anomaly Detection. - Andrew Bell, Oded Nov, Julia Stoyanovich:
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance. - Alexander Wang, Jerry Sun, Kaitlyn Chen, Kevin Zhou, Edward Li Gu, Chenxin Fang:
"COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation. - David James Woo, Yanzhi Wang, Hengky Susanto:
Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools. - Muhammad Aurangzeb Ahmad, Raafia Ahmed, Steve Overman, Patrick Campbell, Corinne Stroum, Bipin Karunakaran:
Machine Learning for Deferral of Care Prediction. - Slavisa Aleksic, Michael Atanasov, Jean Calleja-Agius, Kenneth P. Camilleri, Anto Cartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Mustafa Ekrem Erakin, Francisco Flórez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, María J. Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank:
State of the Art of Audio- and Video-Based Solutions for AAL. - Alessandra Zimmermann, Richard Klavans, Heather Offhaus, Teri A. Grieb, Caleb Smith:
Award rate inequities in biomedical research. - Samuel Bonet Olivencia, Karim Zahed, Farzan Sasangohar, Rotem Davir, Arnold Vedlitz:
Integration of Remote Patient Monitoring Systems into Physicians Work in Underserved Communities: Survey of Healthcare Provider Perspectives. - Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education.