default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, 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 M. 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 S. 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 Adrián 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 S. 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. - Edgar Anarossi, Hirotaka Tahara, Naoto Komeno, Takamitsu Matsubara:
Deep Segmented DMP Networks for Learning Discontinuous Motions.