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CoRR, September 2023
- Yajie Sun, Ali Zia, Jun Zhou:
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. - Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang:
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. - Ruihan Wu, Chuan Guo, Kamalika Chaudhuri:
Large-Scale Public Data Improves Differentially Private Image Generation Quality. - Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue:
Model Inversion Attack via Dynamic Memory Learning. - Georgios Kopanas, George Drettakis:
Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments. - Hao Qin, Zhaozhou Wu, Xingqi Zhang:
Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning. - Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman:
Unsupervised discovery of Interpretable Visual Concepts. - Alessandro Tundo, Marco Mobilio, Shashikant Ilager, Ivona Brandic, Ezio Bartocci, Leonardo Mariani:
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. - Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. - Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang:
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation. - Faith Johnson, Jack Lowry, Kristin J. Dana, Peter Oudemans:
Vision-Based Cranberry Crop Ripening Assessment. - Natalie Kiesler, Dominic Lohr, Hieke Keuning:
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback. - Linsen Song, Wayne Wu, Chaoyou Fu, Chen Change Loy, Ran He:
Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis. - Yang Yue, Joseph Z. Shyu:
Blockchain Based Open Network in Technology Intermediation. - Laura Gustafson, Chloé Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross:
FACET: Fairness in Computer Vision Evaluation Benchmark. - Arya Abdolahi, Navid Taghizadegan Kalantari:
Precision Enhancement of Distribution System State Estimation via Tri-Objective Micro Phasor Measurement Unit Deployment. - Sam Dillavou, Jesse M. Hanlan, Anthony T. Chieco, Hongyi Xiao, Sage Fulco, Kevin T. Turner, Douglas J. Durian:
Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation. - Nidhin Harilal, Bri-Mathias Hodge, Aneesh Subramanian, Claire Monteleoni:
STint: Self-supervised Temporal Interpolation for Geospatial Data. - Sidra Nasir, Rizwan Ahmed Khan, Samita Bai:
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond. - Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta:
SoDaCam: Software-defined Cameras via Single-Photon Imaging. - Judit Muñoz-Matute, Leszek F. Demkowicz:
Multistage DPG time-marching scheme for nonlinear problems. - Bowen Peng, Jeffrey Quesnelle, Honglu Fan, Enrico Shippole:
YaRN: Efficient Context Window Extension of Large Language Models. - Tamás G. Molnár, Gábor Orosz, Aaron D. Ames:
On the Safety of Connected Cruise Control: Analysis and Synthesis with Control Barrier Functions. - Matias D. Cattaneo, Jason M. Klusowski, Boris Shigida:
On the Implicit Bias of Adam. - Kshitiz, Garvit Garg, Angshuman Paul:
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces. - Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta:
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability. - Naomi Schneider, Volker Michel, Karin Sigloch, Eoghan J. Totten:
A matching pursuit approach to the geophysical inverse problem of seismic travel time tomography under the ray theory approximation. - Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, James Zou, Roxana Daneshjou:
Large language models in medicine: the potentials and pitfalls. - Timothy DeLise:
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market. - Simon Thorne:
Experimenting with ChatGPT for Spreadsheet Formula Generation: Evidence of Risk in AI Generated Spreadsheets. - Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang:
Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation. - Thomas A. Grossman, Vijay Mehrotra:
A Use Case-Engineering Resources Taxonomy for Analytical Spreadsheet Models. - Egor Sevriugov, Ivan V. Oseledets:
Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score. - Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection. - Peter Bartholomew:
Excel as a Turing-complete Functional Programming Environment. - Xinyi Wang, Paolo Arcaini, Tao Yue, Shaukat Ali:
QuCAT: A Combinatorial Testing Tool for Quantum Software. - Patrick O'Beirne:
ChatGPT and Excel - trust, but verify. - Reza Azad, Leon Niggemeier, Michael Huttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof:
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation. - João V. C. Mazzochin, Gustavo Tiecker, Érick O. Rodrigues:
Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens. - Haohan Guo, Fenglong Xie, Jiawen Kang, Yujia Xiao, Xixin Wu, Helen Meng:
QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning. - Yanqi Qiao, Dazhuang Liu, Congwen Chen, Rui Wang, Kaitai Liang:
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning. - Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir, Karen B. Schloss:
Effects of data distribution and granularity on color semantics for colormap data visualizations. - Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar:
Distraction-free Embeddings for Robust VQA. - Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu:
Visual-Guided Mesh Repair. - Katrien Beuls, Paul Van Eecke:
Construction Grammar and Artificial Intelligence. - Pavel Kozlov, Alisher Akram, Pakizar Shamoi:
Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children. - Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik:
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder. - Sanaz Karimijafarbigloo, Reza Azad, Amirhossein Kazerouni, Yury Velichko, Ulas Bagci, Dorit Merhof:
Self-supervised Semantic Segmentation: Consistency over Transformation. - Lakshya Jagadish, Banashree Sarma, R. Manivasakan:
Multi Agent DeepRL based Joint Power and Subchannel Allocation in IAB networks. - Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante:
TurboGP: A flexible and advanced python based GP library. - Zhijun Yin, Lauren Stratton, Qingyuan Song, Congning Ni, Lijun Song, Patricia A. Commiskey, Qingxia Chen, Mónica Moreno, Sam Fazio, Bradley A. Malin:
Learning From Peers: A Survey of Perception and Utilization of Online Peer Support Among Informal Dementia Caregivers. - Muris Sladic, Veronica Valeros, Carlos Catania, Sebastian García:
LLM in the Shell: Generative Honeypots. - Fernando Arévalo, Christian Alison M. Piolo, M. Tahasanul Ibrahim, Andreas Schwung:
Information Fusion for Assistance Systems in Production Assessment. - Yao Wei, George Vosselman, Michael Ying Yang:
BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models. - David T. Lee, Christos A. Makridis:
A Task-Interdependency Model of Complex Collaboration Towards Human-Centered Crowd Work. - Yaqi Guo, Saurav Sharma, Siddhant Kumar:
Inverse designing surface curvatures by deep learning. - Reid Priedhorsky, Jordan Ogas, Claude H. Davis IV, Z. Noah Hounshel, Ashlyn Lee, Benjamin Stormer, R. Shane Goff:
Charliecloud's layer-free, Git-based container build cache. - Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. - Thayanne França da Silva, José Everardo Bessa Maia:
Detecting Evidence of Organization in groups by Trajectories. - Xingyu Fu, Mingze Xi:
Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality. - Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews Junior, Daniel Fernando Tello Gamarra:
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. - Zhenhua Wang, Simin He, Guang Xu, Ming Ren:
Will Sentiment Analysis Need Subculture? A New Data Augmentation Approach. - Zhenhua Wang, Daiyu Zhang, Ming Ren, Guang Xu:
Exploring the law of text geographic information. - Qinhan Tan, Yonathan Fisseha, Shibo Chen, Lauren Biernacki, Jean-Baptiste Jeannin, Sharad Malik
, Todd M. Austin:
Security Verification of Low-Trust Architectures. - Md Abu Sayed, Moqsadur Rahman, Mohammad Ariful Islam Khan, Deepak K. Tosh:
A Survey of Network Requirements for Enabling Effective Cyber Deception. - Zhongwei Chen, T. Y. Yang, Yifei Xiao, Xiao Pan, Wanyan Yang:
Vision-aided nonlinear control framework for shake table tests. - Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen:
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. - Mohammad Bajelani, Klaske van Heusden:
Data-Driven Safety Filter: An Input-Output Perspective. - Stephanie Balzer, Farzaneh Derakhshan, Robert Harper, Yue Yao:
Logical Relations for Session-Typed Concurrency. - Aitolkyn Baigutanova, Diego Sáez-Trumper, Miriam Redi, Meeyoung Cha, Pablo Aragón:
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia. - Bruno Machado Pacheco, Laio Oriel Seman, Eduardo Camponogara:
Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches. - Yue Han, Jiangpeng He, Mridul Gupta, Edward J. Delp, Fengqing Zhu:
Diffusion Model with Clustering-based Conditioning for Food Image Generation. - Wanyi Chen, Mary L. Cummings:
Subjectivity in Unsupervised Machine Learning Model Selection. - Shinsaku Sakaue, Taihei Oki:
Data-Driven Projection for Reducing Dimensionality of Linear Programs: Generalization Bound and Learning Methods. - Assef Ghamisi, Homayoun Najjaran:
Gap and Overlap Detection in Automated Fiber Placement. - Junwon Sung, Woojin Heo, Yunkyung Byun, Youngsam Kim:
Large Language Models for Semantic Monitoring of Corporate Disclosures: A Case Study on Korea's Top 50 KOSPI Companies. - Piaohong Wang, Zhicong Lu:
Let's Play Together through Channels: Understanding the Practices and Experience of Danmaku Participation Game Players in China. - Joshua Feinglass, Yezhou Yang:
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. - Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang:
Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation. - Karen Sowon, Edith Luhanga, Lorrie Faith Cranor, Giulia Fanti, Conrad Tucker, Assane Gueye:
The Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania. - Jincheng Li, Chunyu Xie, Xiaoyu Wu, Bin Wang, Dawei Leng:
What Makes Good Open-Vocabulary Detector: A Disassembling Perspective. - Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. - Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao:
Object-Centric Multiple Object Tracking. - Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons:
Image Hijacks: Adversarial Images can Control Generative Models at Runtime. - Sunjun Kweon, Junu Kim
, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi:
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. - Salwa Abbara, Mona Hafez, Aya Kazzaz, Areej Alhothali, Alhanouf Alsolami:
ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models. - Tsun-Hin Cheung, Kin-Man Lam:
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking. - Vahid Pashaei Rad, Vahid Azimirad, Saleh Valizadeh Sotubadi:
Spiking based Cellular Learning Automata (SCLA) algorithm for mobile robot motion formulation. - Sepideh Aghamolaei, Mohammad Ghodsi:
A Massively Parallel Dynamic Programming for Approximate Rectangle Escape Problem. - Michael A. Lepori, Ellie Pavlick, Thomas Serre:
NeuroSurgeon: A Toolkit for Subnetwork Analysis. - Zhengxian Chen, Maowei Wang, Conghu Li:
City electric power consumption forecasting based on big data & neural network under smart grid background. - Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi:
Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques. - Michael Shenoda, Edward Kim:
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models. - Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin:
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. - Jun Luo, Hangcheng Cao, Hongbo Jiang, Yanbing Yang, Zhe Chen:
MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption. - Zixuan Wang, Jiliang Li, Yuntao Wang, Zhou Su, Shui Yu, Weizhi Meng:
Optimal Repair Strategy Against Advanced Persistent Threats Under Time-Varying Networks. - Tin Lai:
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care. - Varshini Subhash, Anna Bialas, Weiwei Pan, Finale Doshi-Velez:
Why do universal adversarial attacks work on large language models?: Geometry might be the answer. - Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh Tahaei, Boxing Chen, Ali Ghodsi:
SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks. - Ava Robinson, Yu Jiang Tham, Rajan Vaish, Andrés Monroy-Hernández:
Beyond Screens: Supporting Co-located Augmented Reality Experiences with Smart Home Devices. - Andre Fu:
Leveraging Learning Metrics for Improved Federated Learning. - Harrison Lee, Samrat Phatale, Hassan Mansoor, Kellie Lu, Thomas Mesnard, Colton Bishop, Victor Carbune, Abhinav Rastogi:
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback. - Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. - Paul Merrell:
Technical Companion to Example-Based Procedural Modeling Using Graph Grammars. - Lulin Zhang, Ewelina Rupnik:
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images. - Shaohuan Zhou, Xu Li, Zhiyong Wu, Ying Shan, Helen Meng:
Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training. - Charles Laroche, Andrés Almansa, Eva Coupeté:
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution. - Sergey Sapunov:
Directional movement of a collective of compassless automata on square lattice of width 2. - Meraj Mammadov:
End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing. - Minghao Zhu, Xiao Lin, Ronghao Dang, Chengju Liu, Qijun Chen:
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning. - Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen:
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance. - Haris Volos:
The Case for Replication-Aware Memory-Error Protection in Disaggregated Memory. - Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld:
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties. - Patrick Betz, Stefan Lüdtke, Christian Meilicke, Heiner Stuckenschmidt:
On the Aggregation of Rules for Knowledge Graph Completion. - Shaohua Pan, Qi Ma, Xinyu Yi, Weifeng Hu, Xiong Wang, Xingkang Zhou, Jijunnan Li, Feng Xu:
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion Capture. - Lucas Cassiel Jacaruso:
Comparative Topic Modeling for Determinants of Divergent Report Results Applied to Macular Degeneration Studies. - Wenxuan Zhang, Xuechao Zou, Li Wu, Jianqiang Huang, Xiaoying Wang:
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction. - Anh Hoang Tran, Tam Minh Nguyen, Son T. Luu:
A Text-based Approach For Link Prediction on Wikipedia Articles.