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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, Sebastián 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. - Martin Schneider, Timo Koch:
Stable and locally mass- and momentum-conservative control-volume finite-element schemes for the Stokes problem. - Paolo Conti, Mengwu Guo, Andrea Manzoni, Attilio Frangi, Steven L. Brunton, J. Nathan Kutz:
Multi-fidelity reduced-order surrogate modeling. - Alex Zanetti, Devis Dal Moro, Redi Vreto, Marco Robol, Marco Roveri, Paolo Giorgini:
Implementing BDI Continual Temporal Planning for Robotic Agents. - Ludovico Bruni Bruno, Wolfgang Erb:
Polynomial Interpolation of Function Averages on Interval Segments. - Tomasz Wojnar, Jaroslaw Hryszko, Adam Roman:
Mi-Go: Test Framework which uses YouTube as Data Source for Evaluating Speech Recognition Models like OpenAI's Whisper. - Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. - Amin Manafi Soltan Ahmadi, Samaneh Hoseini Semnani:
Human trajectory prediction using LSTM with Attention mechanism. - Junyi Shi, Tomasz Piotr Kucner:
Learning State-Space Models for Mapping Spatial Motion Patterns. - Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing through Positional Embedding. - Rusni Kima Mangang, J. Harshan:
Self-Sustainable Key Generation: Strategies and Performance Bounds under DoS Attacks. - Jan-Christoph Kassing, Jürgen Giesl:
Improving Dependency Tuples for Almost-Sure Innermost Termination of Probabilistic Term Rewriting. - Karel Veldkamp, Mariya Hendriksen, Zoltán Szlávik, Alexander Keijser:
Towards Contrastive Learning in Music Video Domain. - Lingxiao Huang, Jung-Hsuan Wu, Chiching Wei, Wilson Li:
MuraNet: Multi-task Floor Plan Recognition with Relation Attention. - Furkan Cantürk, Reyhan Aydogan:
Explainable Active Learning for Preference Elicitation. - Vyacheslav I. Yukalov, Elizaveta P. Yukalova:
Discrete Versus Continuous Algorithms in Dynamics of Affective Decision Making. - Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Kumar Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior. - Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. - Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. - Jan Tönshoff, Martin Ritzert, Eran Rosenbluth, Martin Grohe:
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark. - Ruiqi Li, Liesbeth Allein, Damien Sileo, Marie-Francine Moens:
When Do Discourse Markers Affect Computational Sentence Understanding? - Raffaele Giuseppe Cestari, Andrea Castelletti, Simone Formentin:
Scenario-based model predictive control of water reservoir systems. - Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy:
Long-Term Memorability On Advertisements. - Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb:
Anomaly detection with semi-supervised classification based on risk estimators. - Nick Brown, Maurice Jamieson, Joseph K. L. Lee, Paul Wang:
Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU. - Elias Grünewald, Johannes M. Halkenhäußer, Nicola Leschke, Frank Pallas:
Towards Cross-Provider Analysis of Transparency Information for Data Protection. - Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham:
BatchPrompt: Accomplish more with less. - Haodong Chen, Vera Yuk Ying Chung, Li Tan, Xiaoming Chen:
Dense Voxel 3D Reconstruction Using a Monocular Event Camera. - Shankara Narayanan Krishna, Khushraj Nanik Madnani, Rupak Majumdar, Paritosh K. Pandya:
Satisfiability Checking of Multi-Variable TPTL with Unilateral Intervals Is PSPACE-Complete. - Xingwei Wang, Haiquan Lu, Yong Zeng, Xiaoli Xu, Jie Xu:
Achievable Rate Region and Path-Based Beamforming for Multi-User Single-Carrier Delay Alignment Modulation. - Rabia Altunay, Kalevi Vesterinen, Pasi Alander, Eero Immonen, Andreas Rupp, Lassi Roininen:
Denture reinforcement via topology optimization. - Xin Li, Wenqing Chu, Ye Wu, Weihang Yuan, Fanglong Liu, Qi Zhang, Fu Li, Haocheng Feng, Errui Ding, Jingdong Wang:
VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation. - Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang:
Fine-grained Recognition with Learnable Semantic Data Augmentation. - Jan Solanti, Michal Babej, Julius Ikkala, Pekka Jääskeläinen:
PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability. - Hayato Mitani, Akisato Kimura, Seiichi Uchida:
Selective Scene Text Removal. - Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. - Rahul Goswami, Arabin Kr. Dey:
Area-norm COBRA on Conditional Survival Prediction. - Laura State, Salvatore Ruggieri, Franco Turini:
Declarative Reasoning on Explanations Using Constraint Logic Programming. - Xiaoyu Pan, Bowen Zheng, Xinwei Jiang, Guanglong Xu, Xianli Gu, Jingxiang Li, Qilong Kou, He Wang, Tianjia Shao, Kun Zhou, Xiaogang Jin:
A Locality-based Neural Solver for Optical Motion Capture. - Felipe Cadar, Welerson Melo, Vaishnavi Kanagasabapathi, Guilherme A. Potje, Renato Martins, Erickson R. Nascimento:
Improving the matching of deformable objects by learning to detect keypoints. - Martin Fleischmann, Anastassia Vybornova:
A shape-based heuristic for the detection of urban block artifacts in street networks. - Junhao Huang, Haosong Zhao, Jipeng Zhang, Wangchen Dai, Lu Zhou, Ray C. C. Cheung, Çetin Kaya Koç, Donglong Chen:
Yet another Improvement of Plantard Arithmetic for Faster Kyber on Low-end 32-bit IoT Devices. - Lennart Finke, Edmund Weitz:
A Phenomenological Approach to Interactive Knot Diagrams. - Qin Wang, Shiping Chen:
Account Abstraction, Analysed. - Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante:
Unsupervised bias discovery in medical image segmentation. - Etienne Labbé, Thomas Pellegrini, Julien Pinquier:
CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding. - Carla Binucci, Henry Förster, Julia Katheder, Alessandra Tappini:
Evaluating Animation Parameters for Morphing Edge Drawings. - Johannes Flotzinger, Philipp Jonas Rösch, Thomas Braml:
dacl10k: Benchmark for Semantic Bridge Damage Segmentation. - Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki:
New metrics for analyzing continual learners. - Pedro Conde, Rui L. Lopes, Cristiano Premebida:
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection. - Antony Della Vecchia, Michael Joswig, Benjamin Lorenz:
A FAIR File Format for Mathematical Software. - Jack Ma, Jiangpeng He, Fengqing Zhu:
An Improved Encoder-Decoder Framework for Food Energy Estimation. - Haotian Wu, Yulin Shao, Chenghong Bian, Krystian Mikolajczyk, Deniz Gündüz:
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels. - Yutaro Oguri, Yusuke Matsui:
General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo. - Qun Zheng, Xihong Yang, Siwei Wang, Xinru An, Qi Liu:
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information. - Xiaofeng Luo, Jinbo Wen, Jiawen Kang, Jiangtian Nie, Zehui Xiong, Yang Zhang, Zhaohui Yang, Shengli Xie:
Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses. - Haoming Zhang, Zhanxin Wang, Heike Vallery:
Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network. - Peizhen Bai, Xianyuan Liu, Haiping Lu:
Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction. - Ian Shillito, Iris van der Giessen, Rajeev Goré, Rosalie Iemhoff:
A new calculus for intuitionistic Strong Löb logic: strong termination and cut-elimination, formalised. - Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein:
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing? - Ognjen Kundacina:
Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems. - Alexander Firbas, Alexander Dobler, Fabian Holzer, Jakob Schafellner, Manuel Sorge, Anaïs Villedieu, Monika Wißmann:
The Complexity of Cluster Vertex Splitting and Company. - Quan Sun, Wanjing Li, Qi Zhou:
Rural Access Index: A global study. - Leyang Zhang, Yaoyu Zhang, Tao Luo:
Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks. - Vincent Bouttier, Salomé Leclercq, Renaud Jardri, Sophie Denève:
A normative approach to radicalization in social networks. - Fanyi Wang, Pin Cao, Yihui Zhang, Haotian Hu, Yongying Yang:
A Machine Vision Method for Correction of Eccentric Error: Based on Adaptive Enhancement Algorithm. - Reza Lavaei, Leila Jasmine Bridgeman:
Iterative, Small-Signal L2 Stability Analysis of Nonlinear Constrained Systems. - Paolo Boldi, Davide D'Ascenzo, Flavio Furia, Sebastiano Vigna:
Score and Rank Semi-Monotonicity for Closeness, Betweenness and Harmonic Centrality. - Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár:
Integrated Charging Scheduling and Operational Control for an Electric Bus Network. - Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu:
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. - Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang:
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering. - Anupam Das, Iris van der Giessen, Sonia Marin:
Intuitionistic Gödel-Löb logic, à la Simpson: labelled systems and birelational semantics. - Vignesh Kottayam Viswanathan, Sumeet Gajanan Satpute, Ali-akbar Agha-mohammadi, George Nikolakopoulos:
Towards a Reduced Dependency Framework for Autonomous Unified Inspect-Explore Missions. - Sydney Pugh, Ivan Ruchkin, Insup Lee, James Weimer:
Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare. - Amy M. Lunt, Hatem Fakhruldeen, Gabriella Pizzuto, Louis Longley, Alexander White, Nicola Rankin, Rob Clowes, Ben M. Alston, Andrew I. Cooper, Samantha Y. Chong:
Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction. - Oswin Aichholzer, Stefan Felsner, Rosna Paul, Manfred Scheucher, Birgit Vogtenhuber:
Bichromatic Perfect Matchings with Crossings. - Joana Alves Pimenta, Iurii Medvedev, Nuno Gonçalves:
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection. - Andreea Iana, Mehwish Alam, Alexander Grote, Nevena Nikolajevic, Katharina Ludwig, Philipp Müller, Christof Weinhardt, Heiko Paulheim:
NeMig - A Bilingual News Collection and Knowledge Graph about Migration. - Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. - Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani:
Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models. - Dhruv Patel, Hui Shen, Shankar Bhamidi, Yufeng Liu, Vladas Pipiras:
Consistency of Lloyd's Algorithm Under Perturbations. - Zongyi Li, Nikola Borislavov Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar:
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. - Zaynab Zahra, Zihao Li, Rosa Filgueira:
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion. - Rui Feng, Huan Tran, Aubrey Toland, Binghong Chen, Qi Zhu, Rampi Ramprasad, Chao Zhang:
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer. - Diego Marcondes, Junior Barrera:
Discrete Morphological Neural Networks. - Qining Zhang, Lei Ying:
Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms. - Alex Levering, Diego Marcos, Devis Tuia:
Time Series Analysis of Urban Liveability. - Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira:
Optimization towards Efficiency and Stateful of dispel4py. - Raghavendra Pradyumna Pothukuchi, Leon Lufkin, Yu Jun Shen, Alejandro Simon, Rome Thorstenson, Bernardo Eilert Trevisan, Michael Tu, Mudi Yang, Ben Foxman, Viswanatha Srinivas Pothukuchi, Gunnar Epping, Bryant J. Jongkees, Thi Ha Kyaw, Jerome R. Busemeyer, Jonathan D. Cohen, Abhishek Bhattacharjee:
Quantum Cognitive Modeling: New Applications and Systems Research Directions. - Hywel Normington, Michele Ruggeri:
A decoupled, convergent and fully linear algorithm for the Landau-Lifshitz-Gilbert equation with magnetoelastic effects. - Yuxiang Wei, Chunqiu Steven Xia, Lingming Zhang:
Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair. - Haozhe Xie, Zhaoxi Chen, Fangzhou Hong, Ziwei Liu:
CityDreamer: Compositional Generative Model of Unbounded 3D Cities. - K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan:
Iterative Multi-granular Image Editing using Diffusion Models. - Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein:
Baseline Defenses for Adversarial Attacks Against Aligned Language Models. - Ziyu Guo, Renrui Zhang, Xiangyang Zhu, Yiwen Tang, Xianzheng Ma, Jiaming Han, Kexin Chen, Peng Gao, Xianzhi Li, Hongsheng Li, Pheng-Ann Heng:
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following. - Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation. - Kshitij Girigoudar, Line A. Roald:
Identifying Secure Operating Ranges for DER Control using Bilevel Optimization. - Murilo Stellfeld de Oliveira Poloi, Thiago O. Quinelato:
Algoritmos para Multiplicação Matricial. - Shadab Anwar Shaikh, M. F. N. Taufique, Kranthi Balusu, Shank S. Kulkarni, Forrest Hale, Jonathan Oleson, Ram Devanathan, Ayoub Soulami:
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness. - Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, Rajesh Sharma:
Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination. - Subrata Mukherjee, Vikash Kumar, Somnath Sarangi:
Modified Lagrangian Formulation of Gear Tooth Crack Analysis using Combined Approach of Variable Mode Decomposition (VMD) and Time Synchronous Averaging (TSA). - Valeria de Paiva, Qiyue Gao, Pavel Kovalev, Lawrence S. Moss:
Extracting Mathematical Concepts with Large Language Models. - Christian Piermarini, Massimo Roma:
A Simulation-Based Optimization approach for analyzing the ambulance diversion phenomenon in an Emergency-Department network. - Pawel Niszczota, Sami Abbas:
GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice. - Craig Hatmaker:
Reducing Errors in Excel Models with Component-Based Software Engineering. - Tshilidzi Marwala, Eleonore Fournier-Tombs, Serge Stinckwich:
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development. - Zhiqiang Yan, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang:
RigNet++: Efficient Repetitive Image Guided Network for Depth Completion. - Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko:
Local and adaptive mirror descents in extensive-form games. - Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Zero-Shot Video Moment Retrieval from Frozen Vision-Language Models. - Janina Schreiber, Damar Wicaksono, Michael Hecht:
Polynomial-Model-Based Optimization for Blackbox Objectives. - Emily J. Herron, Derek C. Rose, Steven Young:
ICDARTS: Improving the Stability and Performance of Cyclic DARTS. - Iurii Medvedev, Joana Alves Pimenta, Nuno Gonçalves:
Fused Classification For Differential Face Morphing Detection. - Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Maximilian Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans:
Taken out of context: On measuring situational awareness in LLMs. - Burak Bartan, Mert Pilanci:
Randomized Polar Codes for Anytime Distributed Machine Learning. - Hanjun Song, H. Harry Asada:
Shared Control Based on Extended Lipschitz Analysis With Application to Human-Superlimb Collaboration. - Jiamo Liu, David Lerner, Jae Chung, Udit Paul, Arpit Gupta, Elizabeth M. Belding:
Watching Stars in Pixels: The Interplay of Traffic Shaping and YouTube Streaming QoE over GEO Satellite Networks. - Márton Erdélyi, Pál Hegedüs, Sándor Z. Kiss, Gábor Péter Nagy:
On Linear Codes with Random Multiplier Vectors and the Maximum Trace Dimension Property. - Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay:
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. - Eli Holder, Cindy Xiong Bearfield:
Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization. - Rui Dai, Srijan Das, Michael S. Ryoo, François Brémond:
AAN: Attributes-Aware Network for Temporal Action Detection. - Lakmal Silva, Michael Unterkalmsteiner, Krzysztof Wnuk:
Monitoring and Maintenance of Telecommunication Systems: Challenges and Research Perspectives. - Komi Agbalenyo, Vincent Cailliez, Jonathan Cailliez:
A novel Newton-Raphson style root finding algorithm. - Michela Lapenna, Francesco Faglioni, Ferdinando Zanchetta, Rita Fioresi:
Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks. - Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen:
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. - J. Michael Rozmus:
Indexing Irises by Intrinsic Dimension. - Mehrdad Maghsoudi, Reza Nourbakhsh, Mehrdad Agha Mohammad Ali Kermani, Rahim Khanizad:
The Power of Patents: Leveraging Text Mining and Social Network Analysis to Forecast IoT Trends. - Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone:
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. - Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu:
Learning Shared Safety Constraints from Multi-task Demonstrations. - Rachel Masters, Francisco R. Ortega, Victoria Interrante:
A Multisensory Approach to Virtual Reality Stress Reduction. - Eduardo Espíndola, Yu Tang:
Geometric Tracking on S3 Based on Sliding Mode Control. - Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela, Yutong Pang, Ozlem Kalinli:
Contextual Biasing of Named-Entities with Large Language Models. - Ankit Chakraborty, Stefan Henneking, Leszek F. Demkowicz:
An Anisotropic hp-Adaptation Framework for Ultraweak Discontinuous Petrov-Galerkin Formulations. - Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri:
Learned Visual Features to Textual Explanations. - Rosanna Bellini, Emily Tseng, Noel Warford, Alaa Daffalla, Tara Matthews, Sunny Consolvo, Jill Palzkill Woelfer, Patrick Gage Kelley, Michelle L. Mazurek, Dana Cuomo, Nicola Dell, Thomas Ristenpart:
SoK: Safer Digital-Safety Research Involving At-Risk Users. - Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li:
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. - Sahand Kiani, Hamed Kebriaei, Mohsen Hamzeh, Ali Salmanpour:
Learning Robust Model Predictive Control for Voltage Control of Islanded Microgrid. - Divyanshu Raj, Chitta Baral, Nakul Gopalan:
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. - Jan H. Klemmer, Marco Gutfleisch, Christian Stransky, Yasemin Acar, M. Angela Sasse, Sascha Fahl:
"Make Them Change it Every Week!": A Qualitative Exploration of Online Developer Advice on Usable and Secure Authentication. - Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras:
PathLDM: Text conditioned Latent Diffusion Model for Histopathology. - Daniel Scalena, Gabriele Sarti, Malvina Nissim, Elisabetta Fersini:
Let the Models Respond: Interpreting Language Model Detoxification Through the Lens of Prompt Dependence. - Zijie Tan, Guanfang Dong, Chenqiu Zhao, Anup Basu:
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module. - Qinwen Deng, Yao Ge, Zhi Ding:
Jamming Suppression Via Resource Hopping in High-Mobility OTFS-SCMA Systems. - Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen:
Efficient RLHF: Reducing the Memory Usage of PPO. - Federico Danieli, Ben S. Southworth, Jacob B. Schroder:
Space-Time Block Preconditioning for Incompressible Resistive Magnetohydrodynamics. - Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. - Cheng Qian, Hongliang Ren:
Deep Reinforcement Learning in Surgical Robotics: Enhancing the Automation Level. - Dahun Kim, Anelia Angelova, Weicheng Kuo:
Contrastive Feature Masking Open-Vocabulary Vision Transformer. - Torsha Mazumdar, Daniel Timko, Muhammad Lutfor Rahman:
Are Current CCPA Compliant Banners Conveying User's Desired Opt-Out Decisions? An Empirical Study of Cookie Consent Banners. - Akash Bapat:
Towards High-Frequency Tracking and Fast Edge-Aware Optimization. - Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - Alejandro Rodríguez Domínguez, Muhammad Shahzad, Xia Hong:
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction. - Wanyu Bian, Albert Jang, Fang Liu:
Diffusion Modeling with Domain-conditioned Prior Guidance for Accelerated MRI and qMRI Reconstruction. - Nabil M. Atallah, Vladimir Z. Tomov, Guglielmo Scovazzi:
Weak Boundary Conditions for Lagrangian Shock Hydrodynamics: A High-Order Finite Element Implementation on Curved Boundaries. - Lei Cheng, Siyang Cao:
Online Targetless Radar-Camera Extrinsic Calibration Based on the Common Features of Radar and Camera. - Yulei Liao, Pingbing Ming:
Spectral Barron space and deep neural network approximation. - Abhishek Arora, Melissa Dell:
LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models. - Runjia Du, Pei Li, Sikai Chen, Samuel Labi:
PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information. - Haiquan Lu, Yong Zeng:
Delay-Doppler Alignment Modulation for Spatially Sparse Massive MIMO Communication. - Shibei Meng, Yang Fu, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang:
FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition. - Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia:
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism. - Giorgio Gubbiotti, David I. McLaren, Reinout Quispel:
An Elementary Construction of Modified Hamiltonians and Modified Measures of 2D Kahan Maps. - Ehsan Kabir, Daniel Coble, Joud N. Satme, Austin R. J. Downey, Jason D. Bakos, David Andrews, Miaoqing Huang:
Accelerating LSTM-based High-Rate Dynamic System Models. - Ali Mohammad-Djafari, Ning Chu, Li Wang, Liang Yu:
Deep Learning and Inverse Problems. - Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuanyuan Shi:
Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages. - Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song:
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. - Zhen Shang, Jin-Kao Hao, Fei Ma:
A double-decomposition based parallel exact algorithm for the feedback length minimization problem. - Haolin Liu, Chen-Yu Wei, Julian Zimmert:
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits. - Min-Jeong Kim, Yeon-Chang Lee, David Y. Kang, Sang-Wook Kim:
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding. - Yida Chen, Kang Liu, Yi Xin, Xinru Zhao:
Soil Image Segmentation Based on Mask R-CNN. - Dipesh Gyawali:
Mixed Reality: The Interface of the Future. - D. Dhinakaran, L. Srinivasan, D. Selvaraj, S. M. Udhaya Sankar:
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection. - Wei Pan, Anna Zhu, Xinyu Zhou, Brian Kenji Iwana, Shilin Li:
Few shot font generation via transferring similarity guided global style and quantization local style. - Qingtao Yu, Heming Du, Chen Liu, Xin Yu:
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision. - Ulyana Tkachenko, Aditya Thyagarajan, Jonas Mueller:
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data. - Lukas Drexler, Annika Hennes, Abhiruk Lahiri, Melanie Schmidt, Julian Wargalla:
Approximating Fair k-Min-Sum-Radii in Rd. - Amritpal Singh, Wenqi Shi, May D. Wang:
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. - Md. Adnan Arefeen, Biplob Debnath, Srimat Chakradhar:
LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs. - Rishi Vanukuru, Suibi Che-Chuan Weng, Krithik Ranjan, Torin Hopkins, Amy Banic, Mark D. Gross, Ellen Yi-Luen Do:
DualStream: Spatially Sharing Selves and Surroundings using Mobile Devices and Augmented Reality. - Evgenii Vinogradov, A. V. S. Sai Bhargav Kumar, Franco Minucci, Sofie Pollin, Enrico Natalizio:
Remote ID for separation provision and multi-agent navigation. - Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu:
Domain Generalization via Balancing Training Difficulty and Model Capability. - Manogna Sreenivas, Goirik Chakrabarty, Soma Biswas:
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation. - (Withdrawn) Bengali Document Layout Analysis - A YOLOV8 Based Ensembling Approach.
- Jun He, Yuren Zhou:
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. - Lucas Cosier, Rares Iordan, Sicelukwanda Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu:
A Unifying Variational Framework for Gaussian Process Motion Planning. - Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng:
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. - Shunjie Wang, Shane Steinert-Threlkeld:
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages. - Chunyang Meng, Shijie Song, Haogang Tong, Maolin Pan, Yang Yu:
DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning. - Borui Yang, Wei Li, Liyao Xiang, Bo Li:
Towards Code Watermarking with Dual-Channel Transformations. - Likun Qin, Nan Wang, Tianshuo Qiu:
A Survey of Local Differential Privacy and Its Variants. - Ziqi Gu, Chunyan Xu, Zihan Lu, Xin Liu, Anbo Dai, Zhen Cui:
Big-model Driven Few-shot Continual Learning. - Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh:
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment. - Chunyan Wang, Dong Zhang, Rui Yan:
Boosting Weakly-Supervised Image Segmentation via Representation, Transform, and Compensator. - Gehui Li, Jinyuan Liu, Long Ma, Zhiying Jiang, Xin Fan, Risheng Liu:
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction. - Jim Magiera, Christian Rohde:
A Multiscale Method for Two-Component, Two-Phase Flow with a Neural Network Surrogate. - Ilyass Moummad, Romain Serizel, Nicolas Farrugia:
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. - Ruihan Zhang, Peixin Zhang, Jun Sun:
Towards Certified Probabilistic Robustness with High Accuracy. - Moritz Andrejewski, Verena Häberle, Nico Goldschmidt, Florian Dörfler, Horst Schulte:
Experimental Validation of a Dynamic Virtual Power Plant Concept Based on Multiple-Converter Power Hardware-In-the-Loop Test Bench. - Tao Li, Chenxu Hu, Jian Cong, Xinfa Zhu, Jingbei Li, Qiao Tian, Yuping Wang, Lei Xie:
DiCLET-TTS: Diffusion Model based Cross-lingual Emotion Transfer for Text-to-Speech - A Study between English and Mandarin. - Yiyang Huang, Clément L. Canonne:
Tight Bounds for Machine Unlearning via Differential Privacy. - Alper Ahmetoglu, Batuhan Celik, Erhan Öztop, Emre Ugur:
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers. - Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu:
Regularly Truncated M-estimators for Learning with Noisy Labels. - Maksym Planeta, Jan Bierbaum, Michael Roitzsch, Hermann Härtig:
CoRD: Converged RDMA Dataplane for High-Performance Clouds. - Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich:
Large Process Models: Business Process Management in the Age of Generative AI. - Michail Mamalakis, Héloïse de Vareilles, Atheer AI-Manea, Samantha C. Mitchell, Ingrid Agartz, Lynn Egeland Morch-Johnsen, Jane R. Garrison, Jon S. Simons, Pietro Lio, John Suckling, Graham K. Murray:
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition. - Batuhan Celik, Alper Ahmetoglu, Emre Ugur, Erhan Öztop:
Developmental Scaffolding with Large Language Models. - Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng:
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. - Waheeb Yaqub, Judy Kay, Micah B. Goldwater:
Enable people to identify science news based on retracted articles on social media. - Soujatya Sarkar:
Advanced spike sorting approaches in implantable VLSI wireless brain computer interfaces: a survey. - Joanne L. Hall, Yuval Hertzog, Michael Loewy, Matthew P. Skerritt, Dominique Valladolid, Geetika Verma:
Manifesting Unobtainable Secrets: Threshold Elliptic Curve Key Generation using Nested Shamir Secret Sharing. - Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang:
BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing. - Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports. - Christoforos N. Hadjicostis, Alejandro D. Domínguez-García:
Trustworthy Distributed Average Consensus based on Locally Assessed Trust Evaluations. - Kasturi Das, Srinivasan Krishnaswamy, Somanath Majhi:
An iterative scheme for finite horizon model reduction of continuous-time linear time-varying systems. - Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang:
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. - Xuan He, Kailun Yang, Junwei Zheng, Jin Yuan, Luis Miguel Bergasa, Hui Zhang, Zhiyong Li:
S3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection. - Qing Wang, Jixun Yao, Li Zhang, Pengcheng Guo, Lei Xie:
Timbre-reserved Adversarial Attack in Speaker Identification. - Hanne Hardering, Simon Praetorius:
A Parametric Finite-Element Discretization of the Surface Stokes Equations. - Steven Ndung'u, Trienko L. Grobler, Stefan J. Wijnholds, Dimka Karastoyanova, George Azzopardi:
Deep supervised hashing for fast retrieval of radio image cubes. - Zhengming Zhou, Qiulei Dong:
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation. - Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Towards Common Corruptions. - Asia J. Biega:
Data Repurposing through Compatibility: A Computational Perspective. - Siddharth Prasad, Martin Mladenov, Craig Boutilier:
Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems. - Neel Nanda, Andrew Lee, Martin Wattenberg:
Emergent Linear Representations in World Models of Self-Supervised Sequence Models. - Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao:
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning. - Soumya Parekh, Jay Patel:
Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search. - Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice. - Fahim Faisal:
Multilingual Text Representation. - Shanyuan Liu, Dawei Leng, Yuhui Yin:
Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities. - Tikhon Pshenitsyn:
On Decidability and Expressive Power of Fusion Grammars. - Xinwei Xue, Jia He, Long Ma, Xiangyu Meng, Wenlin Li, Risheng Liu:
ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning. - Jiaqi Liu, Yonghao Long, Kai Chen, Cheuk Hei Leung, Zerui Wang, Qi Dou:
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries. - Idoia Cortes Garcia, Peter Förster, Lennart Jansen, Wil H. A. Schilders, Sebastian Schöps:
Index-aware learning of circuits. - Jiaxi Ying, Xi Han, Rui Zhou, Xiwen Wang, Hing Cheung So:
Network Topology Inference with Sparsity and Laplacian Constraints. - Jun Zhang, Huayang Zhuge, Yiyao Liu, Guohao Peng, Zhenyu Wu, Haoyuan Zhang, Qiyang Lyu, Heshan Li, Chunyang Zhao, Dogan Kircali, Sanat Mharolkar, Xun Yang, Su Yi, Yuanzhe Wang, Danwei Wang:
NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping. - Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal:
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. - Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. - Clarissa Astuto, Giovanni Russo:
Multiscale Modeling with Differential Equations. - Tan-Hanh Pham, Praneel Acharya, Sravanthi Bachina, Kristopher Osterloh, Kim-Doang Nguyen:
Deep-Learning Framework for Optimal Selection of Soil Sampling Sites. - Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
Pure Message Passing Can Estimate Common Neighbor for Link Prediction. - Han Zhou, Minsheng Huang, Wenjun Ying:
ADI schemes for heat equations with irregular boundaries and interfaces in 3D with applications. - Akshaya Kesarimangalam Srinivasan, Shambhavi Singh, Geordan Gutow, Howie Choset, Bhaskar Vundurthy:
Multi-agent Collective Construction using 3D Decomposition. - Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou:
ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. - Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu:
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. - (Withdrawn) A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters.
- Chhavi Sharma, Vishnu Narayanan, Balamurugan Palaniappan:
Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems. - Chandra Shekhar, H. Manish Kausik, Sudipta Saha:
Real Time Vehicle Identification: A Synchronous-Transmission Based Approach. - Amir Reza Zare, Mahdi Aliyari Shoorehdeli, Mehdi Tavan, Kamran Sabahi:
Adaptive output feedback tracking control for bilinear systems. - Francesco Ballarin, Sanghyun Lee, Son-Young Yi:
Projection-based reduced order modeling of an iterative coupling scheme for thermo-poroelasticity. - Qi Han, Yuxuan Cai, Xiangyu Zhang:
RevColV2: Exploring Disentangled Representations in Masked Image Modeling. - Jerrin Bright, Yuhao Chen, John S. Zelek:
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis. - Yaxin Hu, Hajin Lim, Hailey L. Johnson, Josephine M. O'Shaughnessy, Lisa Kakonge, Lyn S. Turkstra, Melissa C. Duff, Catalina L. Toma, Bilge Mutlu:
Investigating the Day-to-Day Experiences of Users with Traumatic Brain Injury with Conversational Agents. - Shota Horiguchi, Kota Dohi, Yohei Kawaguchi:
Streaming Active Learning for Regression Problems Using Regression via Classification. - Xinche Zhang, Evangelos E. Milios:
MPTopic: Improving topic modeling via Masked Permuted pre-training. - Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang:
Contrastive Grouping with Transformer for Referring Image Segmentation. - Sanghyun Lee, Yeonjong Shin:
On the training and generalization of deep operator networks. - Rachel M. Harrison, Anton Dereventsov, Anton Bibin:
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging. - Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du:
Explainability for Large Language Models: A Survey. - Lianke Qin, Aravind Reddy, Zhao Song:
Online Adaptive Mahalanobis Distance Estimation. - Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang:
Hessian-aware Quantized Node Embeddings for Recommendation. - Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. - Gabriel Mejía, Paula Cárdenas, Daniela Ruiz, Angela Castillo, Pablo Arbeláez:
SEPAL: Spatial Gene Expression Prediction from Local Graphs. - Kamal Acharya, Waleed Raza, Carlos M. J. M. Dourado Júnior, Alvaro Velasquez, Houbing Song:
Neurosymbolic Reinforcement Learning and Planning: A Survey. - Saeed Mohammadzadeh, Victor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer:
Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling. - Mayra Samaniego, Ralph Deters:
Digital Twins and Blockchain for IoT Management. - S. Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri, Avik Bhattacharya:
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification. - Yun Ding, Shixin Zhu, Yang Li:
On Galois self-orthogonal algebraic geometry codes. - Camille Boucher, Gustavo Hernan Diaz, Shreya Santra, Kentaro Uno, Kazuya Yoshida:
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions. - Yintai Ma, Diego Klabjan:
Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. - Xinyi Chen:
Influence of Publication Capacity on Journal Impact Factor for International Open Access Journals from China: Insights from Microeconomic Analysis. - Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang:
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study. - Maximilian Nitsche, S. Karthik Mukkavilli, Niklas Kühl, Thomas Brunschwiler:
AB2CD: AI for Building Climate Damage Classification and Detection. - Haoxuan Zhang, Haisheng Li, Nan Li, Xiaochuan Wang:
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention. - Han Zhou, Wenjun Ying:
A Cartesian grid-based boundary integral method for moving interface problems. - Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
Separable Hamiltonian Neural Networks. - Jinxin Liu, Murat Simsek, Michele Nogueira, Burak Kantarci:
Multidomain transformer-based deep learning for early detection of network intrusion. - Rui Zhu, Quanzhou Hu, Wenxin Li, Honghao Xiao, Chaogang Wang, Zixin Zhou:
Business Process Text Sketch Automation Generation Using Large Language Model. - Cheng Shi, Sibei Yang:
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding. - Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis:
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models. - Xinyue Pan, Jiangpeng He, Fengqing Zhu:
Muti-Stage Hierarchical Food Classification. - Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham:
Federated Few-shot Learning for Cough Classification with Edge Devices. - Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Benjamin T. Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov:
Robust Adversarial Defense by Tensor Factorization. - Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham:
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. - Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue:
Orientation-Independent Chinese Text Recognition in Scene Images. - Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue:
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning. - Onkar Krishna, Hiroki Ohashi, Saptarshi Sinha:
MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection. - Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh:
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation. - Chao Li, Runhua Xu, Li Duan:
Liquid Democracy in DPoS Blockchains. - Ming Cheung:
Face Clustering for Connection Discovery from Event Images. - Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. - Qi Li, Zhuotao Liu, Qi Li, Ke Xu:
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture. - Zhu Liu, Zihang Chen, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework. - Yuanyuan Guo, Yu Xia, Rui Wang, Rongcheng Duan, Lu Li, Jiangmeng Li:
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning. - Zengxi Zhang, Zhiying Jiang, Zeru Shi, Jinyuan Liu, Risheng Liu:
Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. - Wei Wei, Lianghao Xia, Chao Huang:
Multi-Relational Contrastive Learning for Recommendation. - Weijie Wang, Zhengyu Zhao, Nicu Sebe, Bruno Lepri:
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection. - Cheonsu Jeong:
A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture. - Xingyuan Li, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training. - Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. - Virginia Aardevol Martinez, Steven Chaplick, Steven Kelk, Ruben Meuwese, Matús Mihalák, Georgios Stamoulis:
Relaxed Agreement Forests. - Yuhao Du, Yuncheng Jiang, Shuangyi Tan, Xusheng Wu, Qi Dou, Zhen Li, Guanbin Li, Xiang Wan:
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models. - Ze Fu, Yinghui Li, Weizhong Guo:
Swing Leg Motion Strategy for Heavy-load Legged Robot Based on Force Sensing. - Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion. - Yang Tan, Mingchen Li, Zijie Huang, Huiqun Yu, Guisheng Fan:
MedChatZH: a Better Medical Adviser Learns from Better Instructions. - (Withdrawn) Carbon Emission Prediction and Clean Industry Transformation Based on Machine Learning: A Case Study of Sichuan Province.
- Reishi Yokomori, Katsuro Inoue:
Who Made This Copy? An Empirical Analysis of Code Clone Authorship. - Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London:
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation. - Arbel Yaniv, Yuval Beck:
Distribution System Power-Flow Solution by Hierarchical Artificial Neural Networks Structure. - Yun-Da Tsai, Yu-Che Tsai, Bo-Wei Huang, Chun-Pai Yang, Shou-De Lin:
AutoML-GPT: Large Language Model for AutoML. - Zsolt Gazdag, Szabolcs Iván, Gergely Kovásznai:
Proceedings of the 16th International Conference on Automata and Formal Languages, AFL 2023, Eger, Hungary, September 5-7, 2023. EPTCS 386, 2023 [contents] - Leon Böck, Valentin Sundermann, Isabella Fusari, Shankar Karuppayah, Max Mühlhäuser, Dave Levin:
The End of the Canonical IoT Botnet: A Measurement Study of Mirai's Descendants. - Haoyu Cao, Changcun Bao, Chaohu Liu, Huang Chen, Kun Yin, Hao Liu, Yinsong Liu, Deqiang Jiang, Xing Sun:
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration. - Andrzej Lingas, Mia Persson:
(min, +) Matrix and Vector Products for Inputs Decomposable into Few Monotone Subsequences. - Junjie Dong, Xinyi Yang, Mudi Jiang, Lianyu Hu, Zengyou He:
Interpretable Sequence Clustering. - Xuyang Liu, Siteng Huang, Yachen Kang, Honggang Chen, Donglin Wang:
VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual Grounders. - Christel Sirocchi, Alessandro Bogliolo:
Distributed averaging for accuracy prediction in networked systems. - Domenico Spensieri, Johan S. Carlson, Fredrik Ekstedt, Robert Bohlin:
An Iterative Approach for Collision Feee Routing and Scheduling in Multirobot Stations. - Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee:
FedFwd: Federated Learning without Backpropagation. - Cheng Shi, Sibei Yang:
EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment. - Philipp Straubinger, Gordon Fraser:
A Survey on What Developers Think About Testing. - Cheng Shi, Sibei Yang:
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models. - Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. - Takahiro Yokoyama, Yoshiki Sato, Sho Tsugawa, Kohei Watabe:
An Accurate Graph Generative Model with Tunable Features. - Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert E. Mahony:
An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras. - Hye-Geun Kim, YouKyoung Na, Hae-Won Joe, Yong-Hyuk Moon, Yeong-Jun Cho:
Spatial-temporal Vehicle Re-identification. - W. X. Wilcke, Peter Bloem, Victor de Boer, R. H. van t Veer:
End-to-End Learning on Multimodal Knowledge Graphs. - Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu:
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. - Vladimir Vovk:
Logic of subjective probability. - Jiang Xie, Shuhao Li, Yongzheng Zhang, Xiaochun Yun, Jia Li:
A method based on hierarchical spatiotemporal features for trojan traffic detection. - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao:
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing. - Myra Dotzel, Stefan Mitsch, André Platzer:
A Usage-Aware Sequent Calculus for Differential Dynamic Logic. - Xiaoke Shang, Gehui Li, Zhiying Jiang, Shaomin Zhang, Nai Ding, Jinyuan Liu:
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction. - Yu Ding, Yirui Cong, Xiangke Wang, Long Cheng:
Cooperative Filtering with Range Measurements: A Distributed Constrained Zonotopic Method. - Junting Wang, Adit Krishnan, Hari Sundaram, Yunzhe Li:
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems. - Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Carol J. Fung, Hailong Yang, Depei Qian:
LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection. - Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. - Shuai Jiang, Sayaka Kamei, Chen Li, Shengzhe Hou, Yasuhiko Morimoto:
A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training. - Jiaxin Jiang, Byron Choi, Xin Huang, Jianliang Xu, Sourav S. Bhowmick:
DKWS: A Distributed System for Keyword Search on Massive Graphs (Complete Version). - Ayoub Belhadji:
An analysis of Ermakov-Zolotukhin quadrature using kernels. - Sohan Anisetty, Amit Raj, James Hays:
MAGMA: Music Aligned Generative Motion Autodecoder. - Luigi Di Lillo, Tilia Gode, Xilin Zhou, Margherita Atzei, Ruoshu Chen, Trent Victor:
Comparative Safety Performance of Autonomous- and Human Drivers: A Real-World Case Study of the Waymo One Service. - Xin Li, Yu Zheng:
Streaming and Query Once Space Complexity of Longest Increasing Subsequence. - Theocharis Apostolakis, Konstantinos Ampountolas:
Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems. - Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou:
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. - Ziaullah Momand, Jonathan H. Chan, Pornchai Mongkolnam:
Immersive Technologies in Virtual Companions: A Systematic Literature Review. - Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi:
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Miryam Gnazzo, Nicola Guglielmi:
On the numerical approximation of the distance to singularity for matrix-valued functions. - Yifei Dong, Florian T. Pokorny:
Quasi-static Soft Fixture Analysis of Rigid and Deformable Objects. - Rui Fang, Richard Tsai:
Stabilization of parareal algorithms for long time computation of a class of highly oscillatory Hamiltonian flows using data. - Kabir Nagrecha, Arun Kumar:
Saturn: An Optimized Data System for Large Model Deep Learning Workloads. - Andrew R. Sedler, Chethan Pandarinath:
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems. - Dorian Fritz Henning, Christopher L. Choi, Simon Schaefer, Stefan Leutenegger:
BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking. - Alexander Kolpakov, Aidan Rocke:
The Information Geometry of UMAP. - Filippos N. Tzortzoglou, Dionysios Theodosis, Aditya Dave, Andreas A. Malikopoulos:
Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles. - Akshaya C. S, Karthik Soma, Visweswaran B, Aditya Ravichander, Venkata Nagarjun PM:
Decentralized shape formation and force-based interactive formation control in robot swarms. - Wenjie Mei, Yu Zhou, Ahmad Taha, Chengyan Zhao:
On input-to-state stability verification of identified models obtained by Koopman operator. - Yun Lu, Malik Magdon-Ismail, Yu Wei, Vassilis Zikas:
Privacy-Utility Tradeoff of OLS with Random Projections. - Mohamed Akrout:
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition. - Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan:
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. - Mahsa Soheil Shamaee, S. Fathi Hafshejani:
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments. - Feibo Jiang, Yubo Peng, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan, Xiaohu You:
Large AI Model Empowered Multimodal Semantic Communications. - Domenico Cantone, Simone Faro, Arianna Pavone, Caterina Viola:
Longest Common Substring and Longest Palindromic Substring in Õ(√n) Time. - Dishani Lahiri, Neeraj Panse, Moneish Kumar:
S2RF: Semantically Stylized Radiance Fields. - Vladislav Pimanov, Ekaterina A. Muravleva, Ivan V. Oseledets, Oleg Iliev:
On the structure of the Schur complement matrix for the Stokes equation. - Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He:
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. - Martyn Amos, Steve M. V. Gwynne, Anne Templeton:
A dynamic state-based model of crowds. - Long Pham, Jan Hoffmann:
Worst-Case Input Generation for Concurrent Programs under Non-Monotone Resource Metrics. - Hyeongju Choi, Apoorva Beedu, Irfan Essa:
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition. - Bart M. P. Jansen, Liana Khazaliya, Philipp Kindermann, Giuseppe Liotta, Fabrizio Montecchiani, Kirill Simonov:
Upward and Orthogonal Planarity are W[1]-hard Parameterized by Treewidth. - Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua:
SOAR: Scene-debiasing Open-set Action Recognition. - Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime F. Fisac:
Learning-Aware Safety for Interactive Autonomy. - Mohammad Naiseh, Mohammad Divband Soorati, Sarvapali D. Ramchurn:
Outlining the design space of eXplainable swarm (xSwarm): experts perspective. - Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers. - Haojia Hui, Jiangyuan Gu, Xunbo Hu, Yang Hu, Leibo Liu, Shaojun Wei, Shouyi Yin:
WindMill: A Parameterized and Pluggable CGRA Implemented by DIAG Design Flow. - Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Diffusion Models with Deterministic Normalizing Flow Priors. - Hamza Reguieg, Mohammed El Hanjri, Mohamed El-Kamili, Abdellatif Kobbane:
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data. - Oliver Schön, Birgit van Huijgevoort, Sofie Haesaert, Sadegh Soudjani:
Verifying the Unknown: Correct-by-Design Control Synthesis for Networks of Stochastic Uncertain Systems. - Bei Xu, Victor Paduani, Qi Xiao, Lidong Song, David Lubkeman, Ning Lu:
Under-frequency Load Shedding for Power Reserve Management in Islanded Microgrids. - Stefano Puliti, Grant D. Pearse, Peter Surový, Luke Wallace, Markus Hollaus, Maciej Wielgosz, Rasmus Astrup:
FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees. - Mustafa Abdallah, Saurabh Bagchi, Shaunak D. Bopardikar, Kevin Chan, Xing Gao, Murat Kantarcioglu, Congmiao Li, Peng Liu, Quanyan Zhu:
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions. - Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities. - Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone, Anjalee de Silva, Matthew Lease, Flora D. Salim, Mark Sanderson:
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets. - Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya H. Ezzeldin, Salman Avestimehr:
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning. - Sara Fish, Paul Gölz, David C. Parkes, Ariel D. Procaccia, Gili Rusak, Itai Shapira, Manuel Wüthrich:
Generative Social Choice. - Atefeh Mohseni-Ejiyeh:
Fortifying Public Safety: A Dynamic Role-Based Access Control Paradigm for Cloud-Centric IoT. - Wen Liang, Chao Yu, Brian Whiteaker, Inyoung Huh, Hua Shao, Youzhi Liang:
AlphaZero Gomoku. - Zijie Jiang, Masatoshi Okutomi:
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity. - Jiacong Xu, Riley Kilfoyle, Zixiang Xiong, Ligang Lu:
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles. - Jie Chen, Igor Loi, Eric Flamand, Giuseppe Tagliavini, Luca Benini, Davide Rossi:
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters. - Jeffrey Uhlmann:
Partial Proof of a Conjecture with Implications for Spectral Majorization. - Gyeongdong Yang, Yungwook Kwon, Hyunjin Kim:
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer. - Tim Menzies:
Model Review: A PROMISEing Opportunity. - Hongwei Xi, Hanwen Wu:
Multirole Logic and Multiparty Channels. - Eduardo Guarduño-Martinez, Jorge Francisco Ciprián-Sánchez, Gerardo Valente, Valente Vazquez-Garcia, Gerardo Rodriguez-Hernandez, Adriana Palacios-Rosas, Lucile Rossi-Tisson, Gilberto Ochoa-Ruiz:
An FPGA smart camera implementation of segmentation models for drone wildfire imagery. - Zhipeng Wu, Yu Liu:
Evaluation Mappings of Spatial Accelerator Based On Data Placement. - Cheng Feng, Linbin Huang, Xiuqiang He, Yi Wang, Florian Dörfler, Qixin Chen:
Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation. - Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang:
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. - Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. - Jian-Feng Cai, Jae Kyu Choi, Jingyang Li:
Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion. - Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu:
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization. - Takaki Asanuma, Takeshi Miyamae, Yuji Yamaoka:
Synchro: Block-generation Protocol to Synchronously Process Cross-shard Transactions in State Sharding. - Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li:
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Rohit Dube, Natarajan Gautam, Amarnath Banerjee, Harsha Nagarajan:
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach. - Zaijing Li, Ting-En Lin, Yuchuan Wu, Meng Liu, Fengxiao Tang, Ming Zhao, Yongbin Li:
UniSA: Unified Generative Framework for Sentiment Analysis. - Zixiang Zhou, Baoyuan Wang:
MDSC: Towards Evaluating the Style Consistency Between Music and Dance. - Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo:
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. - Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. - James Lee Wei Shung, Paul Hibbard, Roshan Vijay, Lincoln Ang Hon Kin, Niels de Boer:
White paper on LiDAR performance against selected Automotive Paints. - Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. - Leheng Li, Qing Lian, Ying-Cong Chen:
Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF. - Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li:
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. - Guifan Weng:
Real-time pedestrian recognition on low computational resources. - Yongwan Kim, Hyunjun Yang, Jungsuek Oh:
AZB Rectangle Shrinkage Method and Heterogeneous Computing Accelerated Full Image Theory Method Ray Tracing Enabling Complex and Massive Outdoor 6G Propagation Modeling. - Natnael Daba, Bruce McIntosh, Abhijit Mahalanobis:
Adapting Classifiers To Changing Class Priors During Deployment. - Frank Qiu:
Random Projections of Sparse Adjacency Matrices. - Yasir Latif, Peter Anastasiou, Yonhon Ng, Zebb Prime, Tien-Fu Lu, Matthew Tetlow, Robert E. Mahony, Tat-Jun Chin:
High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation. - Hanbing Liu, Wangmeng Xiang, Jun-Yan He, Zhi-Qi Cheng, Bin Luo, Yifeng Geng, Xuansong Xie:
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation. - Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie:
Target-Guided Composed Image Retrieval. - Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka:
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion. - Monika Jain, Kuldeep Singh, Raghava Mutharaju:
ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction. - Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang:
A Survey for Graphic Design Intelligence. - Yunhong Lou, Linchao Zhu, Yaxiong Wang, Xiaohan Wang, Yi Yang:
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion. - Louise Bloch, Johannes Rückert, Christoph M. Friedrich:
PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases. - Xiaohang Yu, Haoxiang Wang, Yuqi Han, Lei Yang, Tao Yu, Qionghai Dai:
ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction. - Xiao Feng Zhang, Chao Chen Gu, Shan Ying Zhu:
Memory augment is All You Need for image restoration. - Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! - Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas, C. V. Jawahar:
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering. - Senthilkumar Gopal:
Classic algorithms are fair learners: Classification Analysis of natural weather and wildfire occurrences. - Shun-Wen Hsiao, Cheng-Yuan Sun:
LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data. - Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek:
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. - Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin:
Metric Learning for Projections Bias of Generalized Zero-shot Learning. - Tanvir Mahmud, Chun-Hao Liu, Burhaneddin Yaman, Diana Marculescu:
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations. - Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. - Yi-Cheng Wang, Tzu-Ting Yang, Hsin-Wei Wang, Bi-Cheng Yan, Berlin Chen:
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning. - Danqing Hu, Bing Liu, Xiaofeng Zhu, Xudong Lu, Nan Wu:
Zero-shot information extraction from radiological reports using ChatGPT. - Takeshi Yoshimura, Tatsuhiro Chiba, Sunyanan Choochotkaew, Seetharami Seelam, Hui-Fang Wen, Jonas Pfefferle:
Objcache: An Elastic Filesystem over External Persistent Storage for Container Clusters. - Minsu Kim, Yongjun Lee, Woo Kyoung Han, Kyong Hwan Jin:
Learning Residual Elastic Warps for Image Stitching under Dirichlet Boundary Condition. - Dominik Engel, Leon Sick, Timo Ropinski:
Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design. - Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin:
Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction. - Jan Fillies, Silvio Peikert, Adrian Paschke:
Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord. - Dan Mitrea, Viorica R. Chifu, Tudor Cioara, Ionut Anghel, Cristina Pop:
Social Factors in P2P Energy Trading Using Hedonic Games. - Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang:
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification. - Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Deepu Rajan, Shiwen Mao, Xuemin Shen:
A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks. - Fátima Rodríguez-Galán, Ama Bandara, Elana Pereira de Santana, Peter Haring Bolívar, Eduard Alarcón, Sergi Abadal:
Collective Communication Patterns Using Time-Reversal Terahertz Links at the Chip Scale. - Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone:
Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images. - Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang:
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. - Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun:
Benchmarking Large Language Models in Retrieval-Augmented Generation. - Lara Bargmann, Heike Wehrheim:
Lifting the Reasoning Level in Generic Weak Memory Verification (Extended Version). - Jiaxu Zhu, Changhe Song, Zhiyong Wu, Helen M. Meng:
SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge. - Kin Wai Lau, Lai-Man Po, Yasar Abbas Ur Rehman:
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN. - Raffaele Sommese, Roland van Rijswijk-Deij, Mattijs Jonker:
This Is a Local Domain: On Amassing Country-Code Top-Level Domains from Public Data. - Leo Yu-Ho Lo, Yifan Cao, Leni Yang, Huamin Qu:
Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations. - Raz Lapid, Ron Langberg, Moshe Sipper:
Open Sesame! Universal Black Box Jailbreaking of Large Language Models. - Raphael Zufferey, Daniel Feliú Talegon, Saeed Rafee Nekoo, José Ángel Acosta, Aníbal Ollero:
Experimental method for perching flapping-wing aerial robots. - Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song:
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance. - Rentaro Kataoka, Akisato Kimura, Seiichi Uchida:
Toward Defensive Letter Design. - Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. - Jiantao Huang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
NumHG: A Dataset for Number-Focused Headline Generation. - Thibault Chanus, Michael Aubertin:
LLM and Infrastructure as a Code use case. - Chiara Balestra, Bin Li, Emmanuel Müller:
On the Consistency and Robustness of Saliency Explanations for Time Series Classification. - Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song:
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. - Federico Dettù, Simone Formentin, Sergio Matteo Savaresi:
Joint vehicle state and parameters estimation via Twin-in-the-Loop observers. - Carolina Haase, Philipp Kindermann, William J. Lenhart, Giuseppe Liotta:
Mutual Witness Proximity Drawings of Isomorphic Trees. - Erica Blum, Elette Boyle, Ran Cohen, Chen-Da Liu-Zhang:
Communication Lower Bounds for Cryptographic Broadcast Protocols. - Anju Rani, Daniel Ortiz Arroyo, Petar Durdevic:
Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework. - Timur Sattarov, Marco Schreyer, Damian Borth:
FinDiff: Diffusion Models for Financial Tabular Data Generation. - Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji:
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. - Ying Ren, Kailai Shen, Zhe Ye, Diqun Yan:
BadSQA: Stealthy Backdoor Attacks Using Presence Events as Triggers in Non-Intrusive Speech Quality Assessment. - Zilong Zhang, Zhibin Zhao, Deyu Meng, Xingwu Zhang, Xuefeng Chen:
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification. - Vishnuvardhan Purma, Suhas Srinath, Seshan Srirangarajan, Aanchal Kakkar, Prathosh A. P.:
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation. - Harry Anthony, Konstantinos Kamnitsas:
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging. - Jun-Kim Dong:
Adaptive Maximum Power Transfer for Movable device in Wireless Power Transfer system. - Lei Yan, Yueyang Pan, Diyu Zhou, Sanidhya Kashyap, George Candea:
Productive Development of Scalable Network Functions with NFork. - Oscar Pina, Verónica Vilaplana:
Layer-wise training for self-supervised learning on graphs. - Bingrui Li, Jianfei Chen, Jun Zhu:
Memory Efficient Optimizers with 4-bit States. - Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. - Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv:
Federated cINN Clustering for Accurate Clustered Federated Learning. - Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa:
MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. - Chao Peng, Zhengwei Lv, Jiarong Fu, Jiayuan Liang, Zhao Zhang, Ajitha Rajan, Ping Yang:
Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning. - (Withdrawn) What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You.
- Hussein Aly, Abdulaziz Al-Ali, Abdullah Al-Ali, Qutaibah M. Malluhi:
A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case. - Jean-François Trégouët, Jérémie Kreiss:
Input Redundancy under Input and State Constraints (Extended version of the submission accepted to Automatica). - Laura Piispanen, Edward Morrell, Solip Park, Marcel Pfaffhauser, Annakaisa Kultima:
The History of Quantum Games. - Yisheng Pei, Varuna De Silva, Mike Caine:
Passing Heatmap Prediction Based on Transformer Model and Tracking Data. - Naoaki Kanazawa, Kento Kawaharazuka, Yoshiki Obinata, Kei Okada, Masayuki Inaba:
Recognition of Heat-Induced Food State Changes by Time-Series Use of Vision-Language Model for Cooking Robot. - Gabriele Martino, Davide Moroni, Massimo Martinelli:
Are We Using Autoencoders in a Wrong Way? - Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. - Yuheng Shi, Zehao Huang, Yan Yan, Naiyan Wang, Xiaojie Guo:
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios. - Claude Lehmann, Pavel Sulimov, Kurt Stockinger:
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. - Blaz Skrlj, Blaz Mramor:
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking. - Jean Néraud:
Loopless Algorithms to Generate Maximum Length Gray Cycles wrt. k-Character Substitution. - André Bertolace, Konstantinos Gatsis, Kostas Margellos:
Homomorphically encrypted gradient descent algorithms for quadratic programming. - Fangqin Zhou, Mert Kilickaya, Joaquin Vanschoren:
Locality-Aware Hyperspectral Classification. - Thomas Izgin, Stefan Kopecz, Andreas Meister, Amandine Schilling:
On the non-global linear stability and spurious fixed points of MPRK schemes with negative RK parameters. - Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi:
Rail Crack Propagation Forecasting Using Multi-horizons RNNs. - Bianka Bakullari, Jules van Thoor, Dirk Fahland, Wil M. P. van der Aalst:
The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them. - Henrik Riedel, Robert Steven Lorenzen, Clemens Hübler:
Raw Data Is All You Need: Virtual Axle Detector with Enhanced Receptive Field. - Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez:
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. - Marcel Granero Moya, Penny Karanasou, Sri Karlapati, Bastian Schnell, Nicole Peinelt, Alexis Moinet, Thomas Drugman:
A Comparative Analysis of Pretrained Language Models for Text-to-Speech. - Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Ping Li:
Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration. - Marie-Christine Jakobs, Tim Pollandt:
Incorporating Data Dependencies and Properties in Difference Verification with Conditions (Technical Report). - Piyush Bajaj, Matthew Edwards:
Automatic Scam-Baiting Using ChatGPT. - Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis:
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. - Dogyun Park, Suhyun Kim:
Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models. - Yuqin Li, Jun Liu, Shengliang Zhong, Licheng Zhou, Shoubin Dong, Zejia Liu, Liqun Tang:
Deep Learning Overloaded Vehicle Identification for Long Span Bridges Based on Structural Health Monitoring Data. - Héber Hwang Arcolezi, Sébastien Gambs:
Revealing the True Cost of Local Privacy: An Auditing Perspective. - Abhijit Paul, Rony Majumder:
Exploring Diverse Coping Mechanisms in 2023: A Comprehensive Survey Across Backgrounds and Cultures. - Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang:
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. - Richa Rastogi, Thorsten Joachims:
Fair Ranking under Disparate Uncertainty. - Olivier Monga, Zakaria Belghali, Mouad Klai, Lucie Druoton, Dominique Michelucci, Valérie Pot:
Segmentation of 3D pore space from CT images using curvilinear skeleton: application to numerical simulation of microbial decomposition.