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ORCIDCoRR, September 2022
- Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu
, Tsung-Yi Ho:
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. - Fernando H. C. Dias, Lucia Williams, Brendan Mumey, Alexandru I. Tomescu:
Minimum Flow Decomposition in Graphs with Cycles using Integer Linear Programming. - Bimsara Pathiraja, Shehan Munasinghe, Malshan Ranawella, Maleesha De Silva, Ranga Rodrigo, Peshala Jayasekara:
Class-Aware Attention for Multimodal Trajectory Prediction. - Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting. - Chenkai Sun, Tie Xu, ChengXiang Zhai, Heng Ji:
Incorporating Task-specific Concept Knowledge into Script Learning. - Kyle Evans, Katherine T. Chang:
Connecticut Redistricting Analysis. - Ruijie Jiang, Thuan Nguyen, Prakash Ishwar, Shuchin Aeron:
Supervised Contrastive Learning with Hard Negative Samples. - Connor Dickey, Christopher Smith, Quentin Johnson, Jingcheng Li, Ziqi Xu, Loukas Lazos, Ming Li:
Wiggle: Physical Challenge-Response Verification of Vehicle Platooning. - Andrew Clark:
A Semi-Algebraic Framework for Verification and Synthesis of Control Barrier Functions. - Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung:
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF). - Eric Mjolsness:
Feynman on Artificial Intelligence and Machine Learning, with Updates. - Febin Sunny, Mahdi Nikdast, Sudeep Pasricha:
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics. - Sanjana Gautam:
In Alexa, We Trust. Or Do We? : An analysis of People's Perception of Privacy Policies. - Olivér Töro, Tamás Bécsi:
Analytic solution of the exact Daum-Huang flow equation for particle filters. - Liang Wu, Maarten Nauta:
A rapid-prototype MPC tool based on gPROMS platform. - Yunian Pan, Quanyan Zhu:
On Poisoned Wardrop Equilibrium in Congestion Games. - Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. - Enzo Meneses, Cristóbal A. Navarro, Héctor Ferrada:
GGArray: A Dynamically Growable GPU Array. - Simon J. Porter, Daniel W. Hook:
Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions. - Liang Wu:
Equivalence of SS-based MPC and ARX-based MPC. - (Withdrawn) Complexity of diameter on AT-free graphs is linear.
- André Merzky, Matteo Turilli, Shantenu Jha:
RAPTOR: Ravenous Throughput Computing. - Florian Heller, Raf Ramakers, Kris Luyten:
LaserSVG: Responsive Laser-Cutter Templates. - Rodrigo Stevenson, Cristóbal A. Navarro:
GPU Voronoi Diagrams for Random Moving Seeds. - Tiago Ferreira, Gerco van Heerdt, Alexandra Silva:
Tree-Based Adaptive Model Learning. - Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. - Santiago Rodrigo, Domenico Spanò, Medina Bandic, Sergi Abadal, Hans van Someren, Anabel Ovide, Sebastian Feld, Carmen G. Almudéver, Eduard Alarcón:
Characterizing Qubit Traffic of a Quantum Intranet aiming at Modular Quantum Computers. - Ryan Muther, David Smith:
Tradeoffs in Resampling and Filtering for Imbalanced Classification. - Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo:
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata. - Ashvala Vinay, Alexander Lerch:
Evaluating generative audio systems and their metrics. - Ryan Muther, David Smith:
The Fellowship of the Authors: Disambiguating Names from Social Network Context. - Aditya Kelvianto Sidharta:
Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process. - Giovanni Artiglio, Aiden Youkhana, Joel Nishimura:
The Emergence of League and Sub-League Structure in the Population Lotto Game. - Graham H. Norton:
A Note on the Games-Chan Algorithm. - Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Contextualized language models for semantic change detection: lessons learned. - Seungbum Jo, Geunho Kim:
Space-efficient data structure for next/previous larger/smaller value queries. - Peifeng Yu, Yuqing Qiu, Xin Jin, Mosharaf Chowdhury:
Orloj: Predictably Serving Unpredictable DNNs. - Madhusudan Srinivasan, Upulee Kanewala:
Prioritization of Metamorphic Relations to reduce the cost of testing. - Jingbo Liu:
Stability of the Gaussian Stationary Point in the Han-Kobayashi Region for Z-Interference Channels. - Junyi Liu, Yifu Tang, Haimeng Zhao, Xieheng Wang, Fangyu Li, Jingyi Zhang:
CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach. - Ruizhi Deng, Greg Mori, Andreas M. Lehrmann:
Continuous-time Particle Filtering for Latent Stochastic Differential Equations. - Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. - Shuqi Dai, Huiran Yu, Roger B. Dannenberg:
What is missing in deep music generation? A study of repetition and structure in popular music. - Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian:
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification. - Dagmar Lukka Loftsdóttir, Matthew Guzdial:
SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches. - Rahul Bera, Konstantinos Kanellopoulos, Shankar Balachandran, David Novo, Ataberk Olgun, Mohammad Sadrosadati, Onur Mutlu:
Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction. - Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu:
Federated Learning with Label Distribution Skew via Logits Calibration. - Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang:
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation. - Jacob Miller, Vahan Huroyan, Stephen G. Kobourov:
Spherical Graph Drawing by Multi-dimensional Scaling. - Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen:
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. - Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang:
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. - Tica Lin, Zhutian Chen, Yalong Yang, Daniele Chiappalupi, Johanna Beyer, Hanspeter Pfister:
The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences. - Daizhan Cheng, Hongsheng Qi, Xiao Zhang, Zhengping Ji:
Invariant and Dual Invariant Subspaces of $k$-valued Networks. - Xiuyi Fan:
Probabilistic Deduction: an Approach to Probabilistic Structured Argumentation. - Hao Chen, Mahmoud A. Zaky, Ahmed S. Hendy, Wenlin Qiu:
A two-grid temporal second-order scheme for the two-dimensional nonlinear Volterra integro-differential equation with weakly singular kernel. - Moseli Mots'oehli, Yao Chao Yang:
Public Parking Spot Detection And Geo-localization Using Transfer Learning. - Elena Agapie, Shefali Haldar, Sharmaine Galvez Poblete:
Using HCI in Cross-Disciplinary Teams: A Case Study of Academic Collaboration in HCI-Health Teams in the US Using a Team Science Perspective. - Xiangyi Peng, Da Xu, Wenlin Qiu:
Pointwise error estimates of compact difference scheme for mixed-type time-fractional Burgers' equation. - Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee:
Isotropic Representation Can Improve Dense Retrieval. - Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang:
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration. - Pengfei Zhang, Ziqiang Feng, Eric Lo, Hailin Qin:
ByteStore: Hybrid Layouts for Main-Memory Column Stores. - Prabhat Kumar:
Towards topology optimization of pressure-driven soft robots. - Zhangzi Zhu, Chuhui Xue, Yu Hao, Wenqing Zhang, Song Bai:
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words. - Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. - Linjie Yang, Pingzhi Fan:
Improved Sparse Vector Code Based on Optimized Spreading Matrix for Short-Packet URLLC in mMTC. - Wenlin Qiu:
Optimal error estimate of accurate second-order scheme for Volterra integrodifferential equations with tempered multi-term kernels. - Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility and Efficiency in Federated Learning. - Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Wasserstein Embedding for Capsule Learning. - Guang Yang, Wu Liu, Xinchen Liu, Xiaoyan Gu, Juan Cao, Jintao Li:
Delving into the Frequency: Temporally Consistent Human Motion Transfer in the Fourier Space. - Wenlin Qiu:
Global behavior of temporal discretizations for Volterra integrodifferential equations with certain nonsmooth kernels. - Robert C. Williamson, Zac Cranko:
The Geometry and Calculus of Losses. - Peiyi Wang, Yifan Song, Tianyu Liu, Rundong Gao, Binghuai Lin, Yunbo Cao, Zhifang Sui:
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach. - Zicheng Zhang, Wei Sun, Xiongkuo Min, Quan Zhou, Jun He, Qiyuan Wang, Guangtao Zhai:
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment. - Md. Abubakar Siddik, Most. Anju Ara Hasi, Jakia Akter Nitu, Sumonto Sarker, Nasrin Sultana, Emarn Ali:
A Modified IEEE 802.15.6 MAC Scheme to Enhance Performance of Wireless Body Area Networks in E-health Applications. - Jiatong Li, Bin He, Fei Mi:
Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations. - Xianchao Wu:
Deep Sparse Conformer for Speech Recognition. - Xianchao Wu:
Attention Enhanced Citrinet for Speech Recognition. - Iyadh Ben Cheikh Larbi, Aljoscha Burchardt, Roland Roller:
Which anonymization technique is best for which NLP task? - It depends. A Systematic Study on Clinical Text Processing. - Ling-Hsuan Lin, Shun-Wen Hsiao:
Attack Tactic Identification by Transfer Learning of Language Model. - Jiangli Shao, Yongqing Wang, Boshen Shi, Hao Gao, Huawei Shen, Xueqi Cheng:
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. - Golnaz Badkobeh, Alessandro De Luca, Gabriele Fici, Simon J. Puglisi:
Maximal Closed Substrings. - Chaowei Fang, Lechao Cheng, Huiyan Qi, Dingwen Zhang:
Combating Noisy Labels in Long-Tailed Image Classification. - Rohan P. Singh, Pierre Gergondet, Fumio Kanehiro:
mc-mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo. - Yan Xia, Zhou Zhao, Shangwei Ye, Yang Zhao, Haoyuan Li, Yi Ren:
Video-Guided Curriculum Learning for Spoken Video Grounding. - Hyunjae Lee, Jaewoong Yun, Hyunjin Choi, Seongho Joe, Youngjune L. Gwon:
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization. - Jinho Choi, Jihong Park:
Semantic Communication as a Signaling Game with Correlated Knowledge Bases. - Michael Birsak, Tom Kelly, Wamiq Para, Peter Wonka:
Large-Scale Auto-Regressive Modeling Of Street Networks. - Viktor Harangi, Xueyan Niu, Bo Bai:
Conditional graph entropy as an alternating minimization problem. - Rishabh Dahale, Vaibhav Talwadker, Preeti Rao, Prateek Verma:
Generating Coherent Drum Accompaniment With Fills And Improvisations. - Jianchuan Ding, Lingping Gao, Wenxi Liu, Haiyin Piao, Jia Pan, Zhenjun Du, Xin Yang, Baocai Yin:
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning. - Elizabath Peter, K. K. Krishnan Namboodiri, B. Sundar Rajan:
Coded Caching with Shared Caches and Private Caches. - Shiv Shankar, Laure Thompson, Madalina Fiterau:
Progressive Fusion for Multimodal Integration. - Yohance A. P. Osborne, Iain Smears:
Analysis and Numerical Approximation of Stationary Second-Order Mean Field Game Partial Differential Inclusions. - Aditi Partap, Dan Boneh:
Memory Tagging: A Memory Efficient Design. - András Kalapos, Bálint Gyires-Tóth:
Self-Supervised Pretraining for 2D Medical Image Segmentation. - Enrico Facca, Gabriele Todeschi, Andrea Natale, Michele Benzi:
Efficient preconditioners for solving dynamical optimal transport via interior point methods. - Md. Naimul Hoque, Bhavya Ghai, Niklas Elmqvist:
DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing. - Florian Becker, Age K. Smilde, Evrim Acar:
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions. - Aleksandr V. Petrov, Ildar Safilo, Daria Tikhonovich, Dmitry I. Ignatov:
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. - Erika Sahari, Weiyao Lai, Alireza Pulles, XiaoQi Guo, Marc Bernhard:
Design and Development of a Tracked Inspection Robot. - Dávid Csercsik, Eduard A. Jorswieck:
Optimal Parametrization and Comparative Analysis of Preallocation Methods for Combinatorial Auction-Based Channel Assignment. - Garen Haddeler, Meng Yee Chuah, Yangwei You, Jianle Chan, Albertus H. Adiwahono, Wei Yun Yau, Chee-Meng Chew:
Traversability analysis with vision and terrain probing for safe legged robot navigation. - Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner:
One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving. - Walter Boscheri, Maurizio Tavelli, Cristóbal E. Castro:
An all Froude high order IMEX scheme for the shallow water equations on unstructured Voronoi meshes. - Rama Seshan, Ravi N. Banavar, Arun D. Mahindrakar:
A Unified Framework for Consensus and Synchronization on Lie Groups admitting a Bi-Invariant Metric. - Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li:
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. - Jihoon Kim, Jiseob Kim, Sungjoon Choi:
FLAME: Free-form Language-based Motion Synthesis & Editing. - Gizem Aydin, Seyed Amin Tabatabaei, Giorgios Tsatsaronis, Faegheh Hasibi:
Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases. - Li Yi, Haochen Hu, Jingwei Zhao, Gus Xia:
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System. - Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, Chenggang Yan:
Gait Recognition in the Wild with Multi-hop Temporal Switch. - Andrew G. Clark, Michael Foster, Benedikt Prifling, Neil Walkinshaw, Robert M. Hierons, Volker Schmidt, Robert D. Turner:
Testing Causality in Scientific Modelling Software. - Kazusato Oko, Shunta Akiyama, Tomoya Murata, Taiji Suzuki:
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning. - Yannik Blei, Nicolas Jourdan, Nils Gählert:
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss. - Timo Speith:
How to Evaluate Explainability? - A Case for Three Criteria. - Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim:
KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks. - Bartosz Kusek, Robert Bredereck, Piotr Faliszewski:
Bribery Can Get Harder in Structured Multiwinner Approval Election. - Florian Adriaens, Aristides Gionis:
Diameter Minimization by Shortcutting with Degree Constraints. - Savvina Daniil, Mirjam Cuper, Cynthia C. S. Liem, Jacco van Ossenbruggen, Laura Hollink:
Hidden Author Bias in Book Recommendation. - Chandrajit Bajaj, Taemin Heo, Rochan Avlur:
Learning Generative Embeddings using an Optimal Subsampling Policy for Tensor Sketching. - Juan Pablo Lagos, Esa Rahtu:
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion. - Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz:
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut. - Xin Zhang, Shenghui Song:
Secrecy Analysis for IRS-aided Wiretap MIMO Communications: Fundamental Limits and System Design. - Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu:
Has My Release Disobeyed Semantic Versioning? Static Detection Based on Semantic Differencing. - Ruochun Wang, Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya:
The Nudging Effect on Tracking Activity. - Mouna Dhaouadi, Bentley James Oakes, Michalis Famelis:
End-to-End Rationale Reconstruction. - Wanteng Ma, Ying Cao, Danny H. K. Tsang, Dong Xia:
Optimal Regularized Online Convex Allocation by Adaptive Re-Solving. - Laurent Colbois, Sébastien Marcel:
On the detection of morphing attacks generated by GANs. - Carmine Cesarano, Domenico Cotroneo, Luigi De Simone:
Towards Assessing Isolation Properties in Partitioning Hypervisors. - Xiaodong Chen, Wu Liu, Xinchen Liu, Yongdong Zhang, Jungong Han, Tao Mei:
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition. - Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran:
Efficient ML Models for Practical Secure Inference. - Hagen Lehmann, Adam Rojik, Kassandra Friebe, Matej Hoffmann:
Hey, robot! An investigation of getting robot's attention through touch. - Shakir Laher, Carla Brackstone, Sara Reis, An Nguyen, Sean White, Ibrahim Habli:
Review of the AMLAS Methodology for Application in Healthcare. - Jonas Ritter, Shucheta Shegufta, Paul Steinmann, Michael Zaiser:
An energetically consistent surface correction method for bond-based peridynamics. - Michael A. Bekos, Stefan Felsner, Philipp Kindermann, Stephen G. Kobourov, Jan Kratochvíl, Ignaz Rutter:
The Rique-Number of Graphs. - Xianzhen Guo, Shuowen Zhang, Liang Liu:
Trajectory Optimization of Cellular-Connected UAV for Information Collection and Transmission. - Yutaro Hirao, Tomohiro Amemiya, Takuji Narumi, Ferran Argelaguet, Anatole Lécuyer:
Leveraging Tendon Vibration to Extend Pseudo-Haptic Sensations in VR. - Vali Tawosi, Rebecca Moussa, Federica Sarro:
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report). - Shigehiko Schamoni, Michael Hagmann, Stefan Riezler:
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis. - Adi Simhi, Shaul Markovitch:
Interpreting Embedding Spaces by Conceptualization. - Lukas Pfahler, Katharina Morik:
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. - Ziyue Zhu:
Identifying Films with Noir Characteristics Using Audience's Tags on MovieLens. - Ehsan Qasemi, Alessandro Oltramari:
Intelligent Traffic Monitoring with Hybrid AI. - Sandro Hauri, Slobodan Vucetic:
Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). - Carla Binucci, Emilio Di Giacomo, William J. Lenhart, Giuseppe Liotta, Fabrizio Montecchiani, Martin Nöllenburg, Antonios Symvonis:
On the Complexity of the Storyplan Problem. - Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu:
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. - Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. - Petros Katsileros, Nikiforos Mandilaras, Dimitrios Mallis, Vassilis Pitsikalis, Stavros Theodorakis, Gil Chamiel:
An Incremental Learning framework for Large-scale CTR Prediction. - Matthew Barthet, Ahmed Khalifa, Antonios Liapis, Georgios N. Yannakakis:
Generative Personas That Behave and Experience Like Humans. - Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. - Woo-Jeong Baek, Christoph Ledermann, Torsten Kröger:
Uncertainty Estimation for Safe Human-Robot Collaboration using Conservation Measures. - Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R. S. Arends, Miguel A. R. Rios, Saskia Haitjema:
Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods. - Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. - Quanwei Yang, Xinchen Liu, Wu Liu, Hongtao Xie, Xiaoyan Gu, Lingyun Yu, Yongdong Zhang:
REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer. - Ming Zhang, Shuai Dou, Ziyang Wang, Yunfang Wu:
Focus-Driven Contrastive Learniang for Medical Question Summarization. - Victor Parque:
Towards Hexapod Gait Adaptation using Enumerative Encoding of Gaits: Gradient-Free Heuristics. - Andrea Ziani, Zicong Fan, Muhammed Kocabas, Sammy Joe Christen, Otmar Hilliges:
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning. - Bruno Clerckx, Yijie Mao, Eduard A. Jorswieck, Jinhong Yuan, David J. Love, Elza Erkip, Dusit Niyato:
A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions. - Peter Ebert Christensen, Frederik Warburg, Menglin Jia, Serge J. Belongie:
Searching for Structure in Unfalsifiable Claims. - Suhan Park, Mathew Schwartz, Jaeheung Park:
NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning. - Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold:
A Dataset for Detecting Real-World Environmental Claims. - Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh:
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. - Jialin Wu:
Possibilities and Implications of the Multi-AI Competition. - Xinyu Gao, Wenqiang Yi, Yuanwei Liu, Jianhua Zhang, Ping Zhang:
DRL Enabled Coverage and Capacity Optimization in STAR-RIS Assisted Networks. - Yan Xiang, Yu-Hang Tang, Zheng Gong, Hongyi Liu, Liang Wu, Guang Lin, Huai Sun:
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation. - Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao:
The Neural Process Family: Survey, Applications and Perspectives. - Chen Sun, Liang Gao, Xinyu Li, Yiping Gao:
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect Detection. - Pan Wang, Liangliang Ren, Shengkai Wu, Jinrong Yang, En Yu, Hangcheng Yu, Xiaoping Li:
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking. - Tin Kam Ho:
Complexity of Representations in Deep Learning. - Jakub Nawala, Lucjan Janowski, Bogdan Cmiel, Krzysztof Rusek, Marc A. Kastner, Jan Zahálka:
Reproducibility Companion Paper: Describing Subjective Experiment Consistency by $p$-Value P-P Plot. - Daniel E. Worrall, Markus Peschl, Arash Behboodi, Roberto Bondesan:
Learning Perturbations for Soft-Output Linear MIMO Demappers. - Axel Laborieux, Friedemann Zenke:
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations. - Baturay Saglam, Furkan B. Mutlu, Dogan Can Çiçek, Suleyman S. Kozat:
Actor Prioritized Experience Replay. - Wei Luo, Jingshan Chen, Henrik Ebel, Peter Eberhard:
Time-Optimal Handover Trajectory Planning for Aerial Manipulators based on Discrete Mechanics and Complementarity Constraints. - Giorgio Audrito, Volker Stolz, Gianluca Torta:
Predictive Semantics for Past-CTL Runtime Monitors. - Cory D. Hauck, Stefan Schnake:
A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations. - Lingyun Gu, Eugene Popov, Dong Ge:
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation. - Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse, Kyle Dunlap, Jonathan C. Rowanhill, Ashlie B. Hocking, Aditya Zutshi:
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System. - Mert Cemri, Tolga Çukur, Aykut Koç:
Unsupervised Simplification of Legal Texts. - Tim Gorichanaz:
Being at Home in the Metaverse? Prospectus for a Social Imaginary. - Marten Maack:
Online Load Balancing on Uniform Machines with Limited Migration. - Francesco Riz, Luigi Palopoli, Daniele Fontanelli:
Analysis of indistinguishable trajectories of a nonholonomic vehicle subject to range measurements. - Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn P. Rosé:
Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction. - Cong Lu, Raluca Georgescu, Johan Verwey:
Go-Explore Complex 3D Game Environments for Automated Reachability Testing. - Jie Fu:
On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers. - Therese Biedl:
Visibility Representations of Toroidal and Klein-bottle Graphs. - Charles B. Schaff:
Neural Approaches to Co-Optimization in Robotics. - Nikos Fotiou, Iakovos Pittaras, Spiros Chadoulos, Vasilios A. Siris, George C. Polyzos, Nikolaos Ipiotis, Stratos Keranidis:
Authentication, Authorization, and Selective Disclosure for IoT data sharing using Verifiable Credentials and Zero-Knowledge Proofs. - Vincent Micheli, Eloi Alonso, François Fleuret:
Transformers are Sample Efficient World Models. - Alessandro Avi, Andrea Albanese, Davide Brunelli:
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors. - Kessy Abarenkov, Anne Fouilloux, Helmut Neukirchen, Abdulrahman Azab:
Reproducible Cross-border High Performance Computing for Scientific Portals. - Sunjae Kwon, Cheongwoong Kang, Jiyeon Han, Jaesik Choi:
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering? - Hayden Jananthan, Lauren Milechin, Michael Jones, William Arcand, William Bergeron, David Bestor, Chansup Byun, Michael Houle, Matthew Hubbell, Vijay Gadepally, Anna Klein, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Python Implementation of the Dynamic Distributed Dimensional Data Model. - Amir Yazdanbakhsh, Ashkan Moradifirouzabadi, Zheng Li, Mingu Kang:
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. - Nan Wu, Chaofan Wang:
Heterogeneous Graph Tree Networks. - Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad:
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets. - Felix Petersen:
Learning with Differentiable Algorithms. - Sébastien Gambs, Rosin Claude Ngueveu:
Fair mapping. - Peter Hardy, Srinandan Dasmahapatra, Hansung Kim:
Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation. - Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. - Richard Ngo:
The alignment problem from a deep learning perspective. - Anh Tran, Kathryn A. Maupin, Theron Rodgers:
Monotonic Gaussian process for physics-constrained machine learning with materials science applications. - Xianghang Liu, Bartlomiej Twardowski, Tri Kurniawan Wijaya:
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction. - Todd Schmid:
A (Co)Algebraic Framework for Ordered Processes. - Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. - Gaurav Patel, Jan P. Allebach, Qiang Qiu:
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. - Sindhu B. Hegde, K. R. Prajwal, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild. - Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. - Matteo Poggi, Pierluigi Zama Ramirez, Fabio Tosi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano:
Cross-Spectral Neural Radiance Fields. - Jeffrey Wong, Jasmine Nettiksimmons, Jiannan Lu, Katherine Livins:
Addressing Hidden Imperfections in Online Experimentation. - François Renaville, Fabienne Prosmans, Isabelle Gilles:
Analyse fonctionnelle de l'outil de gestion de planning LibStaffer. - Tim Miller:
Are we measuring trust correctly in explainability, interpretability, and transparency research? - Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie:
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. - Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi:
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks. - Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao:
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. - Hao-Ren Yao, Nairen Cao, Katina Russell, Der-Chen Chang, Ophir Frieder, Jeremy T. Fineman:
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax. - Haroldas Razvadauskas, Evaldas Vaiciukynas, Kazimieras Buskus, Lukas Drukteinis, Lukas Arlauskas, Saulius Sadauskas, Albinas Naudziunas:
Exploring traditional machine learning for identification of pathological auscultations. - Andreas Emil Feldmann, Tung Anh Vu:
Generalized $k$-Center: Distinguishing Doubling and Highway Dimension. - Arthur Capozzi, Alfonso Semeraro, Giancarlo Ruffo:
Analyzing and Visualizing American Congress Polarization and Balance with Signed Networks. - Kristofer Schlachter, Benjamin Ahlbrand, Zhu Wang, Valerio Ortenzi, Ken Perlin:
Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D Object Sets. - Gilberto O. Corrêa, Marlon M. López-Flores, Alexandre L. Madureira:
Final-state, Open-loop Control of the Heat equation on Tensorial Domains (full version). - Ali Fakhrzadehgan, Prakash Ramrakhyani, Moinuddin K. Qureshi, Mattan Erez:
SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface. - Enrique Miranda, Marco Zaffalon:
Nonlinear desirability theory. - Borhane Blili-Hamelin, Leif Hancox-Li:
Making Intelligence: Ethics, IQ, and ML Benchmarks. - Ana-Maria Istrate, Donghui Li, Dario Taraborelli, Michaela Torkar, Boris Veytsman, Ivana Williams:
A large dataset of software mentions in the biomedical literature. - Jingren Wei, Shaileshh Bojja Venkatakrishnan:
DecVi: Adaptive Video Conferencing on Open Peer-to-Peer Networks. - Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi:
Exploring Gradient-based Multi-directional Controls in GANs. - Zhirui Liang, Robert Mieth, Yury Dvorkin, Miguel A. Ortega-Vazquez:
Weather-Driven Flexibility Reserve Procurement. - Konstantina Mellou, Marco Molinaro, Rudy Zhou:
Online Demand Scheduling with Failovers. - Peter Jamieson, Indrima Upadhyay:
A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning. - Longfei Gao:
Strongly imposing the free surface boundary condition for wave equations with finite difference operators. - Petar Mlinaric, Serkan Gugercin:
A Unifying Framework for Interpolatory $\mathcal{L}_2$-optimal Reduced-order Modeling. - Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Aldri Luiz dos Santos, Osamu Saotome:
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach. - Xin-Yi Tong, Gui-Song Xia, Xiao Xiang Zhu:
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery. - Atoosa Kasirzadeh, Iason Gabriel:
In conversation with Artificial Intelligence: aligning language models with human values. - Surbhi Goel, Sham M. Kakade, Adam Tauman Kalai, Cyril Zhang:
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms. - Hwi Lee, Yingjie Liu:
A ghost-point based second order accurate finite difference method on uniform orthogonal grids for electromagnetic scattering around PEC. - Tiago Fonseca, Tiago Dias, João Vitorino, Luís Lino Ferreira, Isabel Praça:
A Low-Cost Multi-Agent System for Physical Security in Smart Buildings. - Pradyumna Chari, Yunhao Ba, Shreeram S. Athreya, Achuta Kadambi:
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance. - Yingzi Gao, Yuan Lu, Zhenliang Lu, Qiang Tang, Jing Xu, Zhenfeng Zhang:
Dumbo-NG: Fast Asynchronous BFT Consensus with Throughput-Oblivious Latency. - Elizabeth Coda, Brad Clymer, Chance N. DeSmet, Yijing Watkins, Michael Girard:
Universal Fourier Attack for Time Series. - Shuvendu Roy, Ali Etemad:
Temporal Contrastive Learning with Curriculum. - Yulai Zhao:
Optimizing the Performative Risk under Weak Convexity Assumptions. - Min Shi, Anagha Lokhande, Mojtaba Sedigh Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R. Pasquale, Tobias Elze, Michael V. Boland, Nazlee Zebardast, David S. Friedman, Lucy Q. Shen, Mengyu Wang:
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images. - Chuanhang Yan, Yu Sun, Qian Bao, Jinhui Pang, Wu Liu, Tao Mei:
WOC: A Handy Webcam-based 3D Online Chatroom. - Rui Zhong, Masaharu Munetomo:
Cooperative coevolutionary Modified Differential Evolution with Distance-based Selection for Large-Scale Optimization Problems in noisy environments through an automatic Random Grouping. - Yang Li, Xinhao Wei, Yuanzheng Li, Zhaoyang Dong, Mohammad Shahidehpour:
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach. - Yusuke Kobayashi:
Optimal General Factor Problem and Jump System Intersection. - Joon Sern Lee, Kai Keng Tay, Zong Fu Chua:
BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec. - Joon Sern Lee, Yam Gui Peng David:
TypoSwype: An Imaging Approach to Detect Typo-Squatting. - Jared Gaskin, Bechir Hamdaoui, Weng-Keen Wong:
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. - Shuai Yang, Haoyuan Pan, Tse-Tin Chan, Zhaorui Wang:
Semantic Communication-Empowered Physical-layer Network Coding. - Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu:
Structure-Preserving Graph Representation Learning. - Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. - Zhengxiang Wang:
Random Text Perturbations Work, but not Always. - Zheng Liu, Sijing Zhan, Yaowu Zhao, Yuanyuan Liu, Renjie Chen, Ying He:
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering. - Xin Liu, Xunbin Xiong, Mingyu Yan, Runzhen Xue, Shirui Pan, Xiaochun Ye, Dongrui Fan:
Rethinking Efficiency and Redundancy in Training Large-scale Graphs. - Wenchong He, Minh N. Vu, Zhe Jiang, My T. Thai:
An Explainer for Temporal Graph Neural Networks. - Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu:
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? - Ivan De Oliveira Nunes, Sashidhar Jakkamsetti, Youngil Kim, Gene Tsudik:
CASU: Compromise Avoidance via Secure Update for Low-end Embedded Systems. - Benjamin Zambrano, Esteban Garzón, Sebastiano Strangio, Giuseppe Iannaccone, Marco Lanuzza:
A 0.6V$-$1.8V Compact Temperature Sensor with 0.24°C Resolution, $\pm$1.4°C Inaccuracy and 1.06nJ per Conversion. - Priyabrata Parida, Harpreet S. Dhillon:
Modeling of Dense CSMA Networks using Random Sequential Adsorption Process. - Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. - Shunta Akiyama, Mitsuaki Obara, Yasushi Kawase:
Optimal design of lottery with cumulative prospect theory. - Eyal Ben-David, Yftah Ziser, Roi Reichart:
Domain Adaptation from Scratch. - Pierre Dragicevic:
Information Visualization for Effective Altruism. - Yasmeen Anjeer Alshehhi, Mohamed Abdelrazek, Alessio Bonti:
Needs and Challenges of Personal Data Visualisations in Mobile Health Apps: User Survey. - Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. - Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. - Honghua Chen, Mingqiang Wei, Jun Wang:
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey. - Md. Abdullah Al Alamin, Gias Uddin, Sanjay Malakar, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal:
Developer Discussion Topics on the Adoption and Barriers of Low Code Software Development Platforms. - Koen J. A. Scheres, Romain Postoyan, W. P. Maurice H. Heemels:
Robustifying Event-Triggered Control to Measurement Noise. - Yunning Cao, Ye Ma, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, Yuning Jiang:
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation. - Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong:
TarGF: Learning Target Gradient Field for Object Rearrangement. - Adri Bhattacharya, Barun Gorain, Partha Sarathi Mandal:
Treasure Hunt in Graph using Pebbles. - Mathias Lindholm, Ronald Richman, Andreas Tsanakas, Mario V. Wüthrich:
A Discussion of Discrimination and Fairness in Insurance Pricing. - Jinshui Hu, Chenyu Liu, Qiandong Yan, Xuyang Zhu, Fengli Yu, Jiajia Wu, Bing Yin:
Vision-Language Adaptive Mutual Decoder for OOV-STR. - Jiayao Shan, Sifan Zhou, Yubo Cui, Zheng Fang:
Real-time 3D Single Object Tracking with Transformer. - Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim:
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. - Peter Kietzmann, José Álamos, Dirk Kutscher, Thomas C. Schmidt, Matthias Wählisch:
Delay-Tolerant ICN and Its Application to LoRa. - Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu:
Diffusion-based Molecule Generation with Informative Prior Bridges. - Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang:
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs. - Yuanhao Huang, Shi Huang, Hao Wang, Ruifeng Meng:
3D Path Planning and Obstacle Avoidance Algorithms for Obstacle-Overcoming Robots. - Lennart Dabelow, Masahito Ueda:
Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines. - Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic:
Dialogue Evaluation with Offline Reinforcement Learning. - Yi-Shan Tsai:
Why Feedback Literacy Matters for Learning Analytics. - François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
Regret Analysis of Dyadic Search. - Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef, Pierre-Henri Conze, Béatrice Cochener, Divi Cornec, Gwenolé Quellec:
Mapping the ocular surface from monocular videos with an application to dry eye disease grading. - Gianna Paulin, Matheus A. Cavalcante, Paul Scheffler, Luca Bertaccini, Yichao Zhang, Frank K. Gürkaynak, Luca Benini:
Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters. - Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng:
Multi-modal Contrastive Representation Learning for Entity Alignment. - Lichao Sun, Xiaobin Rui, Wei Chen:
Scalable Adversarial Attack Algorithms on Influence Maximization. - Maurice Jamieson, Nick Brown:
Performance of the Vipera framework for DSLs on micro-core architectures. - Julia Grosse, Cheng Zhang, Philipp Hennig:
Optimistic Optimization of Gaussian Process Samples. - Margherita Porcelli, Valeria Simoncini:
Numerical solution of a class of quasi-linear matrix equations. - Javier Álvarez-Vizoso, Diego Cuevas, Carlos Beltrán, Ignacio Santamaría, Vít Tucek, Gunnar Peters:
Constrained Riemannian Noncoherent Constellations for the MIMO Multiple Access Channel. - Dedi Wang, Yihang Wang, Luke Evans, Pratyush Tiwary:
Introducing dynamical constraints into representation learning. - Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro:
Instance-Dependent Noisy Label Learning via Graphical Modelling. - Annika Bonerath, Anne Driemel, Jan-Henrik Haunert, Herman J. Haverkort, Elmar Langetepe, Benjamin Niedermann:
Analysis of a Greedy Heuristic for the Labeling of a Map with a Time-Window Interface. - Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard:
Detection of diabetic retinopathy using longitudinal self-supervised learning. - Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2022 XCSP3 Competition. - Seungone Kim, Se June Joo, Hyungjoo Chae, Chaehyeong Kim, Seung-won Hwang, Jinyoung Yeo:
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization. - Jiaxing Xu, Jinjie Ni, Sophi Shilpa Gururajapathy, Yiping Ke:
A Class-Aware Representation Refinement Framework for Graph Classification. - Salvatore Mercuri, Raad Khraishi, Ramin Okhrati, Devesh Batra, Conor Hamill, Taha Ghasempour, Andrew Nowlan:
An Introduction to Machine Unlearning. - Gabriel Kronberger:
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression. - Gonçalo Xavier, Carlos Novo, Ricardo Morla:
Tweaking Metasploit to Evade Encrypted C2 Traffic Detection. - Anna Wróblewska, Bartosz Pielinski, Karolina Seweryn, Karol Saputa, Aleksandra Wichrowska, Sylwia Sysko-Romanczuk, Hanna Schreiber:
Entity Graph Extraction from Legal Acts - a Prototype for a Use Case in Policy Design Analysis. - Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, Sung-Ju Lee:
IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning. - Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. - Elías Abad-Rocamora, Javier Ruiz Hidalgo:
Learning task-specific features for 3D pointcloud graph creation. - Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformers for SAT Solving. - Xiaodong He, Zhongkui Li:
Simultaneous Position and Orientation Planning of Nonholonomic Multi-Robot Systems: A Dynamic Vector Field Approach. - Daniele A. Di Pietro, Jérôme Droniou, Silvano Pitassi:
Cohomology of the discrete de Rham complex on domains of general topology. - Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. - Jonas Mücke, Marcin Nawrocki, Raphael Hiesgen, Patrick Sattler, Johannes Zirngibl, Georg Carle, Thomas C. Schmidt, Matthias Wählisch:
Waiting for QUIC: On the Opportunities of Passive Measurements to Understand QUIC Deployments. - Anelia Somekh-Baruch:
An Upper Bound on the Reliability Function of the DMC. - Kenji Maillard, Meven Lennon-Bertrand, Nicolas Tabareau, Éric Tanter:
A Reasonably Gradual Type Theory. - Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. - Gökçe Uludogan, Elif Özkirimli, Kutlu Ö. Ülgen, Nilgün Karali, Arzucan Özgür:
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design. - Isabel Casso, Bing Li, Tatjana A. Nazir, Yvonne N. Delevoye-Turrell:
The Effect of Robot Posture and Idle Motion on Spontaneous Emotional Contagion during Robot-Human Interactions. - Linnea Stjerna, David Broman:
Programming with Context-Sensitive Holes using Dependency-Aware Tuning. - Frances Y. Kuo, Weiwen Mo, Dirk Nuyens:
Constructing Embedded Lattice-based Algorithms for Multivariate Function Approximation with a Composite Number of Points. - William J. Lenhart, Giuseppe Liotta:
Mutual Witness Gabriel Drawings of Complete Bipartite Graphs. - Zhen Shao:
Johnson-Lindenstrauss embeddings for noisy vectors - taking advantage of the noise. - Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao:
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. - Samuele Vinanzi, Angelo Cangelosi:
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots. - Wolfram Barfuss, Janusz M. Meylahn:
Intrinsic fluctuations of reinforcement learning promote cooperation. - Yuya Seki, Ryo Tamura, Shu Tanaka:
Black-box optimization for integer-variable problems using Ising machines and factorization machines. - Jiahui Yu, Konstantinos Spiliopoulos:
Normalization effects on deep neural networks. - Cameron Gordon, Shin-Fang Ch'ng, Lachlan E. MacDonald, Simon Lucey:
On Quantizing Implicit Neural Representations. - Nathan Partlan, Luis Soto, Jim Howe, Sarthak Shrivastava, Magy Seif El-Nasr, Stacy Marsella:
EvolvingBehavior: Towards Co-Creative Evolution of Behavior Trees for Game NPCs. - Chongjun Ouyang, Yuanwei Liu, Hongwen Yang:
On the Performance of Downlink MIMO-ISAC. - Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo:
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform. - Michele Giuliano Carlino, Elena Gaburro:
Well balanced finite volume schemes for shallow water equations on manifolds. - Johannes Wachs:
Digital Traces of Brain Drain: Developers during the Russian Invasion of Ukraine. - Sebastian Maneth, Helmut Seidl, Martin Vu:
How to decide Functionality of Compositions of Top-Down Tree Transducers. - Anupam Khan, Sourav K. Ghosh, Soumya K. Ghosh:
eDWaaS: A Scalable Educational Data Warehouse as a Service. - Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. - Lizhi Zhao, Xuequan Lu, Qianyue Bao, Meili Wang:
In-Place Gestures Classification via Long-term Memory Augmented Network. - Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. - Alfio Di Mauro, Moritz Scherer, Davide Rossi, Luca Benini:
Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs. - Yibo Liu, Hunter Schofield, Jinjun Shan:
Fiducial Marker Detection in Multi-Viewpoint Point Cloud. - Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf, Nebojsa Bacanin, Amit Chhabra, S. Vimal, Zaher Mundher Yaseen:
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem. - Simon van Wageningen, Tamara Mchedlidze:
Can an NN model plainly learn planar layouts? - Merlijn Sebrechts, Tim Ramlot, Sander Borny, Tom Goethals, Bruno Volckaert, Filip De Turck:
Adapting Kubernetes controllers to the edge: on-demand control planes using Wasm and WASI. - Koen De Schepper, Olga Albisser, Olivier Tilmans, Bob Briscoe:
Dual Queue Coupled AQM: Deployable Very Low Queuing Delay for All. - Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event-Driven Tactile Learning with Location Spiking Neurons. - Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-Directed Synthesis of Visualizations from Natural Language Queries. - Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer:
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. - Yuhong Luo, Pan Li:
Neighborhood-aware Scalable Temporal Network Representation Learning. - Hugo Moeneclaey:
Notions of parametricity as monoidal models for type theory. - Pablo G. Morato, Charalampos P. Andriotis, Konstantinos G. Papakonstantinou, Philippe Rigo:
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. - Geir Bogfjellmo, Elena Celledoni, Robert I. McLachlan, Brynjulf Owren, Reinout Quispel:
Using aromas to search for preserved measures and integrals in Kahan's method. - Giulia Bernardini, Estéban Gabory, Solon P. Pissis, Leen Stougie, Michelle Sweering, Wiktor Zuba:
Elastic-Degenerate String Matching with 1 Error. - Alexey Braver, Dror G. Feitelson:
How Developers Extract Functions: An Experiment. - Xiuling Wang, Wendy Hui Wang:
Group Property Inference Attacks Against Graph Neural Networks. - Lei Kou, Zhe Huang, Cuimei Jiang, Fangfang Zhang, Wende Ke, Junhe Wan, Hailin Liu, Hui Li:
Data Encryption based on 7D Complex Chaotic System with Cubic Memristor for Smart Grid. - Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke:
A New Aligned Simple German Corpus. - Mathias Perrin, Frédéric Gruy:
Explicit calculation of singular integrals of tensorial polyadic kernels. - Ali Hassani, Zaid A. El-Shair, Rafi Ud Daula Refat, Hafiz Malik:
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition. - Traiko Dinev, Carlos Mastalli, Vladimir Ivan, Steve Tonneau, Sethu Vijayakumar:
Differentiable Optimal Control via Differential Dynamic Programming. - Khulud Alharthi, Zahraa S. Abdallah, Sabine Hauert:
Understandable Controller Extraction from Video Observations of Swarms. - Umberto J. Ravaioli, Kyle Dunlap, Kerianne Hobbs:
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. - Simone Angarano, Mauro Martini, Francesco Salvetti, Vittorio Mazzia, Marcello Chiaberge:
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization. - Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Zixian Yang, R. Srikant, Lei Ying:
MaxWeight With Discounted UCB: A Provably Stable Scheduling Policy for Nonstationary Multi-Server Systems With Unknown Statistics. - A. Tytarenko:
Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning. - Lesly-Ann Daniel, Sébastien Bardin, Tamara Rezk:
Binsec/Rel: Symbolic Binary Analyzer for Security with Applications to Constant-Time and Secret-Erasure. - Erling Rennemo Jellum, Torleiv Håland Bryne, Tor Arne Johansen, Milica Orlandic:
The Syncline Model - Analyzing the Impact of Time Synchronization in Sensor Fusion. - Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. - Jiarui Gan, Minbiao Han, Jibang Wu, Haifeng Xu:
Optimal Coordination in Generalized Principal-Agent Problems: A Revisit and Extensions. - Mónika Csikós, Nabil H. Mustafa:
Algorithms for Discrepancy, Matchings, and Approximations: Fast, Simple, and Practical. - Xiaoyang Zou, Wenyong Liu, Junchen Wang, Rong Tao, Guoyan Zheng:
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos. - Trung Thanh Nguyen, Hoang Dang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Ichiro Ide, Phi Le Nguyen:
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning. - Maria V. Vasilyeva, S. M. Mallikarjunaiah, D. Palaniappan:
Multiscale model reduction technique for fluid flows with heterogeneous porous inclusions. - Maria V. Vasilyeva:
Efficient decoupling schemes for multiscale multicontinuum problems in fractured porous media. - Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan:
Reconstructing editable prismatic CAD from rounded voxel models. - Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis:
"More Than Words": Linking Music Preferences and Moral Values Through Lyrics. - Mao Ye, Lemeng Wu, Qiang Liu:
First Hitting Diffusion Models. - Joel Stremmel, Brian L. Hill, Jeffrey Hertzberg, Jaime Murillo, Llewelyn Allotey, Eran Halperin:
Extend and Explain: Interpreting Very Long Language Models. - Misha Teplitskiy, Soya Park, Neil Thompson, David R. Karger:
The effect of in-person conferences on the diffusion of ideas. - Xaver Fabian, Marco Guarnieri, Marco Patrignani:
Automatic Detection of Speculative Execution Combinations. - Felipe Xavier Costa, Rion Brattig Correia, Luis M. Rocha:
The distance backbone of directed networks. - Jakub Nikonowicz, Aamir Mahmood, Muhammad Ikram Ashraf, Emil Björnson, Mikael Gidlund:
Indoor Positioning Trends in 5G-Advanced: Challenges and Solution towards Centimeter-level Accuracy. - Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers, Max Ryabinin, Younes Belkada, Artem Chumachenko, Pavel Samygin, Colin Raffel:
Petals: Collaborative Inference and Fine-tuning of Large Models. - Oswin Aichholzer, Alfredo García, Irene Parada, Birgit Vogtenhuber, Alexandra Weinberger:
Shooting Stars in Simple Drawings of Km, n. - Alexandra Carlson, Manikandasriram Srinivasan Ramanagopal, Nathan Tseng, Matthew Johnson-Roberson, Ram Vasudevan, Katherine A. Skinner:
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations. - Nikhil Easaw, Woo Soek, Prashant Singh Lohiya, Sarika Jalan, Priodyuti Pradhan:
Estimation of Correlation Matrices from Limited time series Data using Machine Learning. - Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi:
Revisiting Outer Optimization in Adversarial Training. - Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo:
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. - Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan:
Transformers in Remote Sensing: A Survey. - Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki:
Co-Imitation: Learning Design and Behaviour by Imitation. - Yaping Zhao, Haitian Zheng, Mengqi Ji, Ruqi Huang:
Cross-Camera Deep Colorization. - Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. - Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire:
A Method for Discovering Novel Classes in Tabular Data. - Jan Niklas Adams, Gyunam Park, Sergej Levich, Daniel Schuster, Wil M. P. van der Aalst:
A Framework for Extracting and Encoding Features from Object-Centric Event Data. - Mark Embree:
How Descriptive are GMRES Convergence Bounds? - Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith:
Elaboration-Generating Commonsense Question Answering at Scale. - Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton-Brown:
Better Peer Grading through Bayesian Inference. - Ashwin Kallingal Joshy, Wei Le:
FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures. - Jennifer Drexler Fox, Natalie Delworth:
Improving Contextual Recognition of Rare Words with an Alternate Spelling Prediction Model. - Emran Poh, Kyrin Liong, Jeannie Su Ann Lee:
Mixed Reality for Mechanical Design and Assembly Planning. - Ruben S. van Bergen, Pablo L. Lanillos:
Object-based active inference. - Benedikt Ahrens, Kobe Wullaert:
Category Theory for Programming. - Adhiti Raman, Ian D. Walker, Venkat Krovi, Matthias J. Schmid:
A Failure Identification and Recovery Framework for a Planar Reconfigurable Cable Driven Parallel Robot. - Jesus Tordesillas, Jonathan P. How:
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. - Leah Namisa Rosenbloom:
Activists Want Better, Safer Technology. - Zhibo Zhang, Omar Alremeithi, Maryam Almheiri, Marwa Albeshr, Xiaoxiong Zhang, Sajid Javed, Naoufel Werghi:
Person Monitoring by Full Body Tracking in Uniform Crowd Environment. - Pranshu Malviya, Arjun Vaithilingam Sudhakar:
Feature diversity in self-supervised learning. - Azar Hakimi, Shayan Zargari, Chintha Tellambura, Sanjeewa P. Herath:
IRS-Enabled Backscattering in a Downlink Non-Orthogonal Multiple Access System. - Mohammad Khajenejad, Scott Brown, Sonia Martínez:
Distributed Interval Observers for Bounded-Error LTI Systems. - David Barrera, Christopher Bellman, Paul C. van Oorschot:
Security Best Practices: A Critical Analysis Using IoT as a Case Study. - Yuchao Tao, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy:
DPXPlain: Privately Explaining Aggregate Query Answers. - Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari:
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. - Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. - Baleegh Ahmad, Wei-Kai Liu, Luca Collini, Hammond Pearce, Jason M. Fung, Jonathan Valamehr, Mohammad Bidmeshki, Piotr Sapiecha, Steve Brown, Krishnendu Chakrabarty, Ramesh Karri, Benjamin Tan:
Don't CWEAT It: Toward CWE Analysis Techniques in Early Stages of Hardware Design. - Bargav Jayaraman, David Evans:
Are Attribute Inference Attacks Just Imputation? - Jing Sun, Daxin Nie, Weihua Deng:
Optimal convergence for the regularized solution of the model describing the competition between super- and sub- diffusions driven by fractional Brownian sheet noise. - Thanh Tin Nguyen, Long H. Nguyen, Nhat Truong Pham, Liu Tai Nguyen, Van Huong Do, Hai Nguyen, Ngoc Duy Nguyen:
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM. - Changwen Xu, Yuyang Wang, Amir Barati Farimani:
TransPolymer: a Transformer-based Language Model for Polymer Property Predictions. - Minh-Son Dao:
Multimodal and Crossmodal AI for Smart Data Analysis. - Duc-Quang Vu, Trang Phung, Jia-Ching Wang:
A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition. - Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen:
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. - Sicheng Wang, Eugenio Frias Miranda, Laura H. Blumenschein:
The Folded Pneumatic Artificial Muscle (foldPAM): Towards Programmability and Control via End Geometry. - Zhuo Chen, Jie Liu, Yubo Hu, Lei Wu, Yajin Zhou, Xianhao Liao, Ke Wang:
Illegal But Not Malware: An Underground Economy App Detection System Based on Usage Scenario. - Hanxiao Chen, Jiankun Wang, Max Q.-H. Meng:
Kinova Gemini: Interactive Robot Grasping with Visual Reasoning and Conversational AI. - Siddarth Ravichandran, Ondrej Texler, Dimitar Dinev, Hyun Jae Kang:
Synthesizing Photorealistic Virtual Humans Through Cross-modal Disentanglement. - Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. - Hasan Pourmahmood Aghababa, Jeff M. Phillips:
Classifying Spatial Trajectories. - Zihao Yin, Ruohan Meng, Zhili Zhou:
Continual Learning for Steganalysis. - Hui Xiao, Li Dong, Kangkang Song, Hao Xu, Shuibo Fu, Diqun Yan, Chengbin Peng:
Semi-Supervised Semantic Segmentation with Cross Teacher Training. - Trinh Van Chien, Eva Lagunas, Tiep Minh Hoang, Symeon Chatzinotas, Björn E. Ottersten, Lajos Hanzo:
Power Allocation for Space-Terrestrial Cooperation Systems with Statistical CSI. - (Withdrawn) Class-Specific Channel Attention for Few-Shot Learning.
- Zhili Chen, Jiali Wang:
LDP-FPMiner: FP-Tree Based Frequent Itemset Mining with Local Differential Privacy. - Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang:
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting. - Dawn J. Lawrie, Eugene Yang, Douglas W. Oard, James Mayfield:
Multilingual ColBERT-X. - Cheng Cheng, Yang Chen, Jeon Yu Lee, Qiyu Sun:
Graph Fourier transforms on directed product graphs. - Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das:
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings. - Mengqi Huang, Zhendong Mao, Penghui Wang, Quan Wang, Yongdong Zhang:
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation. - Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo:
Federated XGBoost on Sample-Wise Non-IID Data. - Torsten Hoefler, Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Jon Belk, Deepak Goel, Miguel Castro, Steve Scott:
HammingMesh: A Network Topology for Large-Scale Deep Learning. - Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. - Ayumi Igarashi:
How to cut a discrete cake fairly. - Van-Linh Nguyen, Ren-Hung Hwang, Po-Ching Lin, Abhishek Vyas, Van-Tao Nguyen:
Towards the Age of Intelligent Vehicular Networks for Connected and Autonomous Vehicles in 6G. - Shuanglong Yao, Dechang Pi, Junfu Chen, Yufei Liu, Zhiyuan Wu:
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction. - Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim:
Improving Compositional Generalization in Math Word Problem Solving. - Byungjin Cho, Yu Xiao:
A repeated unknown game: Decentralized task offloading in vehicular fog computing. - Jinming Liu, Heming Sun, Jiro Katto:
Semantic Segmentation in Learned Compressed Domain. - Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara:
DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection. - Henri Mertens, Marc Van Droogenbroeck:
Error-rate in Viterbi decoding of a duobinary signal in presence of noise and distortions: theory and simulation. - Tomer Raviv, Nir Shlezinger:
Data Augmentation for Deep Receivers. - Raymond Feng, Jesse Geneson, Andrew Lee, Espen Slettnes:
Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning. - Esmée Henrieke Anne de Haas, Lik-Hang Lee:
Deceiving Audio Design in Augmented Environments : A Systematic Review of Audio Effects in Augmented Reality. - Fabio Checconi, Jesmin Jahan Tithi, Fabrizio Petrini:
Ridgeline: A 2D Roofline Model for Distributed Systems. - Baizhou Huang, Shikang Du, Xiaojun Wan:
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk. - Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. - Shah Jafor Sadeek Quaderi, Sadia Afrin Labonno, Sadia Mostafa, Shamim Akhter:
Identify The Beehive Sound Using Deep Learning. - Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti:
A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. - Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. - Roberto Baviera, Pietro Manzoni:
Tree-Based Learning in RNNs for Power Consumption Forecasting. - Ivan V. Kozitsin:
Modeling Opinion Dynamics: Ranking Algorithms on Heterogeneous Populations. - Pingchuan Ma, Yujiang Wang, Stavros Petridis, Jie Shen, Maja Pantic:
Training Strategies for Improved Lip-reading. - Chao Zhang, Zijian Tang, Taoming Guo, Jiaxin Lei, Jiaxin Xiao, Anhe Wang, Shuo Bai, Milin Zhang:
SaleNet: A low-power end-to-end CNN accelerator for sustained attention level evaluation using EEG. - Yuan Qiu, Ke Yi:
Differential Privacy on Dynamic Data. - Hai Dang, Lukas Mecke, Florian Lehmann, Sven Goller, Daniel Buschek:
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models. - Loc H. Tran, Nguyen Trinh, Linh H. Tran:
Hypergraph convolutional neural network-based clustering technique. - Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. - Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. - Ghanta Sai Krishna, Kundrapu Supriya, Jai Vardhan, Mallikharjuna Rao K:
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework. - Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander:
Explainability via Short Formulas: the Case of Propositional Logic with Implementation. - Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu:
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. - Quan Zhou, Ramen Ghosh, Robert Shorten, Jakub Marecek:
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions. - Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada, Mahmoud Nabil, Lydia Asrat Zeleke, Abdollah Homaifar, Edward W. Tunstel:
Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints. - Shangfei Zheng, Weiqing Wang, Jianfeng Qu, Hongzhi Yin, Wei Chen, Lei Zhao:
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning. - Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, Sajal K. Das:
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning. - Carlotta Langer, Nihat Ay:
Learning to Predict Requires Integrated Information. - Jan Eliás, Gianluca Cusatis:
Homogenization of discrete mesoscale model of concrete for coupled mass transport and mechanics by asymptotic expansion. - Jan Eliás, Hao Yin, Gianluca Cusatis:
Homogenization of discrete diffusion models by asymptotic expansion. - Mohammad Hosseini:
Deep Live Video Ad Placement on the 5G Edge. - Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu:
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition. - Ashay Wakode, Arpita Sinha:
Online Evasive Strategy for Aerial Survey using Sierpinski curve. - Junjie Yu, Xing Wang, Jiangjiang Zhao, Chunjie Yang, Wenliang Chen:
STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction. - Yuxue Cao, Shengjie Wang, Xiang Zheng, Wenke Ma, Xinru Xie, Lei Liu:
Reinforcement Learning with Prior Policy Guidance for Motion Planning of Dual-Arm Free-Floating Space Robot. - Mansoor Ali, Rafael Martinez Garcia Peña, Gilberto Ochoa Ruiz, Sharib Ali:
A comprehensive survey on recent deep learning-based methods applied to surgical data. - Taeri Kim, Noseong Park, Jiwon Hong, Sang-Wook Kim:
Phishing URL Detection: A Network-based Approach Robust to Evasion. - Xing-Shuo Song, Quan-Lin Li, Yan-Xia Chang, Chi Zhan:
A Markov Process Theory for Network Growth Processes of DAG-based Blockchain Systems. - Meng Zhang, Ermin Wei, Randall Berry, Jianwei Huang:
Age-Dependent Differential Privacy. - Meisam Mohammady:
Randomized Privacy Budget Differential Privacy. - Daniel Lopez Martinez, Christina Chen, Mingjun Chen:
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data. - Christina O. Tze, Panagiotis Paraskevas Filntisis, Athanasia-Lida Dimou, Anastasios Roussos, Petros Maragos:
Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting. - Carsten Wiecher, Constantin Mandel, Matthias Günther, Jannik Fischbach, Joel Greenyer, Matthias Greinert, Carsten Wolff, Roman Dumitrescu, Daniel Méndez, Albert Albers:
Model-based Analysis and Specification of Functional Requirements and Tests for Complex Automotive Systems. - Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan:
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks. - Elio Quinton:
Equivariant Self-Supervision for Musical Tempo Estimation. - Yanrong Hu, Simon X. Yang:
A Novel Knowledge-Based Genetic Algorithm for Robot Path Planning in Complex Environments. - Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden:
A Hybrid Tracking Control Strategy for an Unmanned Underwater Vehicle Aided with Bioinspired Neural Dynamics. - Yongqiang Wang, Angelia Nedich:
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence. - Luke Borchjes, Clement N. Nyirenda, Louise Leenen:
Model-Free Deep Reinforcement Learning in Software-Defined Networks. - Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. - Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
Sion: Elastic Serverless Cloud Storage. - Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao:
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. - Kendrick M. Shepherd, Deepesh Toshniwal:
Locally-verifiable sufficient conditions for exactness of the hierarchical B-spline discrete de Rham complex in Rn. - Dominik Klein:
Neural Networks for Chess. - Khushal Sethi, Vivek Parmar, Manan Suri:
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. - Baike She, Shreyas Sundaram, Philip E. Paré:
Optimal Mitigation of SIR Epidemics Under Model Uncertainty. - Osman Berke Güney, Huseyin Ozkan:
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training. - Liang Wu:
An interpretative and adaptive MPC for nonlinear systems. - Kourosh Shahnazari, Seyed Moein Ayyoubzadeh:
A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean. - Sean Trott, Cameron R. Jones, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen:
Do Large Language Models know what humans know? - Tianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning. - Nesara Dissanayake, Asangi Jayatilaka, Mansooreh Zahedi, Muhammad Ali Babar:
An Empirical Study of Automation in Software Security Patch Management. - Daniel M. DiPietro:
Quantitative Stopword Generation for Sentiment Analysis via Recursive and Iterative Deletion. - Daniel M. DiPietro, Bo Zhu:
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems. - Yuyang Ren, Haonan Zhang, Qi Li, Luoyi Fu, Jiaxin Ding, Xinde Cao, Xinbing Wang, Chenghu Zhou:
Disentangled Graph Contrastive Learning for Review-based Recommendation. - Jiansong Zhang, Yun Yu, Jiang Zhu, Rong Qin, Yue Yu, Maosheng Jiang:
Hybrid mixed discontinuous Galerkin finite element method for incompressible miscible displacement problem. - Suraj Mishra, Yizhe Zhang, Li Zhang, Tianyu Zhang, X. Sharon Hu, Danny Z. Chen:
Data-Driven Deep Supervision for Skin Lesion Classification. - Jiansong Zhang, Yun Yu, Jiang Zhu, Yue Yu, Rong Qin:
Hybrid mixed discontinuous Galerkin finite element method for incompressible wormhole propagation problem. - Renren Jin, Deyi Xiong:
Informative Language Representation Learning for Massively Multilingual Neural Machine Translation. - Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda G. Shapiro:
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations. - Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti:
A Scalable Data-Driven Technique for Joint Evacuation Routing and Scheduling Problems. - Marjan Hosseini, Alireza Javadian Sabet, Suining He, Derek Aguiar:
Interpretable Fake News Detection with Topic and Deep Variational Models. - Xin Mu, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. - Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu:
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. - Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. - Shihan Lin, Rui Xin, Aayush Goel, Xiaowei Yang:
InviCloak: An End-to-End Approach to Privacy and Performance in Web Content Distribution. - Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. - Václav Skala:
Algorithm for Finding an Exact Maximum Distance in E2 with Oexp(N) Complexity: Analysis and Experimental Results. - Yao Deng, James Xi Zheng, Mengshi Zhang, Guannan Lou, Tianyi Zhang:
Scenario-Based Test Reduction and Prioritization for Multi-Module Autonomous Driving Systems. - Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. - Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp:
Autonomous Cross Domain Adaptation under Extreme Label Scarcity. - William Levén, Hampus Broman, Terese Besker, Richard Torkar:
The Broken Windows Theory Applies to Technical Debt. - Matthew Aitchison, Lyndon Benke, Penny Sweetser:
Learning to Deceive in Multi-Agent Hidden Role Games. - Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. - Appan Rakaraddi, Siew Kei Lam, Mahardhika Pratama, Marcus de Carvalho:
Reinforced Continual Learning for Graphs. - Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. - Jiayi Xie, Zhenzhong Chen:
Hierarchical Transformer with Spatio-Temporal Context Aggregation for Next Point-of-Interest Recommendation. - Biyang Guo, Songqiao Han, Hailiang Huang:
Selective Text Augmentation with Word Roles for Low-Resource Text Classification. - Jian Gu, Harald C. Gall:
Towards Top-Down Deep Code Generation in Limited Scopes. - Huiying Deng, Guangming Wang, Zhiheng Feng, Chaokang Jiang, Xinrui Wu, Yanzi Miao, Hesheng Wang:
Pseudo-LiDAR for Visual Odometry. - Zicheng Zhang, Daoyuan Wu, Lixiang Li, Debin Gao:
On the Usability (In)Security of In-App Browsing Interfaces in Mobile Apps. - J. Alberto Conejero, Antonio Falcó, M. Mora-Jiménez:
Structure and approximation properties of Laplacian-like matrices. - Md. Ershadul Haque, Ashikur Rahman, Iftekhar Junaeid, Samiul Ul Hoque, Manoranjan Paul:
Rice Leaf Disease Classification and Detection Using YOLOv5. - Seunghyun Lee, Babar Shahzaad, Balsam Alkouz, Abdallah Lakhdari, Athman Bouguettaya:
Autonomous Delivery of Multiple Packages Using Single Drone in Urban Airspace. - Arthur Wong, Alsharif Abuadbba, Mahathir Almashor, Salil S. Kanhere:
PhishClone: Measuring the Efficacy of Cloning Evasion Attacks. - Alexander A. Sherstov:
The Approximate Degree of DNF and CNF Formulas. - Duk-Soon Oh:
Smoothers Based on Nonoverlapping Domain Decomposition Methods for H(curl) Problems: A Numerical Study. - Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang:
Consistent Targets Provide Better Supervision in Semi-supervised Object Detection. - Shirin Jalali, Carl J. Nuzman, Yue Sun:
Incremental maximum likelihood estimation for efficient adaptive filtering. - Manjari Pradhan, Bhargab B. Bhattacharya:
A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks. - Alejandro Murillo-González, Jorge I. Poveda:
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps. - Yanna Lin, Haotian Li, Aoyu Wu, Yong Wang, Huamin Qu:
DMiner: Dashboard Design Mining and Recommendation. - Yu-Jen Chen, Wei-Hsiang Shen, Hao-Wei Chung, Jing-Hao Chiu, Da-Cheng Juan, Tsung-Ying Ho, Chi-Tung Cheng, Meng-Lin Li, Tsung-Yi Ho:
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation. - Evgeny Yudin, Pavel A. Karpyshev, Mikhail Kurenkov, Alena Savinykh, Andrei Potapov, Evgeny Kruzhkov, Dzmitry Tsetserukou:
CloudVision: DNN-based Visual Localization of Autonomous Robots using Prebuilt LiDAR Point Cloud. - Toluwalase A. Olukoga, Yin Feng:
A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset. - Parvin Nazari, Esmaile Khorram:
Dynamic Regret of Adaptive Gradient Methods for Strongly Convex Problems. - Chris Rohlfs:
Generalization in Neural Networks: A Broad Survey. - Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García, Mário A. T. Figueiredo:
ProBoost: a Boosting Method for Probabilistic Classifiers. - Yinhong Lin, Huaichang Ge, Bin Wang, Qinglai Guo, Hongbin Sun:
Flux Linkage Based Evaluation Method for Voltage Inertia and Voltage Recovery Capability Under Large Disturbances. - Martin Biehl, Nathaniel Virgo:
Interpreting systems as solving POMDPs: a step towards a formal understanding of agency. - Yunhao Wang, Huixin Sun, Xiaodi Wang, Bin Zhang, Chao Li, Ying Xin, Baochang Zhang, Errui Ding, Shumin Han:
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition. - Giovanni Maria Biancofiore, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci:
Interactive Question Answering Systems: Literature Review. - Maya Krakovski, Naama Aharony, Yael Edan:
Robotic Exercise Trainer: How Failures and T-HRI Levels Affect User Acceptance and Trust. - Baris Can Esmer, Ariel Kulik, Dániel Marx, Philipp Schepper, Karol Wegrzycki:
Computing Generalized Convolutions Faster Than Brute Force. - Maya Krakovski, Oded Zafrani, Galit Nimrod, Yael Edan:
Older adults acceptance of SARs: The link between anticipated and actual interaction. - Yuxiang Zhang, Wei Li, Weidong Sun, Ran Tao, Qian Du:
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification. - Felix Martin Schuhknecht, Justus Henneberg:
Towards Adaptive Storage Views in Virtual Memory. - Qiao Zhang, Tao Xiang, Chunsheng Xin, Biwen Chen, Hongyi Wu:
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference. - Holy Lovenia, Bryan Wilie, Romain Barraud, Samuel Cahyawijaya, Willy Chung, Pascale Fung:
Every picture tells a story: Image-grounded controllable stylistic story generation. - Souvik Datta, Mangolik Kundu, Ratnadeep Das Choudhury, Sriramalakshmi P, Sreedevi VT:
IoT Book Bot. - Mary Isangediok, Kelum Gajamannage:
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. - Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. - Mohamed Elaraby, Diane J. Litman:
ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. - Juan E. Tapia, Enrique López Droguett, Christoph Busch:
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network. - Masoud Mansoury, Bamshad Mobasher, Herke van Hoof:
Exposure-Aware Recommendation using Contextual Bandits. - William Fedus, Jeff Dean, Barret Zoph:
A Review of Sparse Expert Models in Deep Learning. - Justin Jacob, Navin Khaneja:
Extension of a Linear Controller Scheme to Non-Linear Systems and its Application on Inverted Pendulum. - Jon Arrizabalaga, Markus Ryll:
Spatial motion planning with Pythagorean Hodograph curves. - Francesco Pierri, Matthew R. DeVerna, Kai-Cheng Yang, David Axelrod, John Bryden, Filippo Menczer:
One year of COVID-19 vaccine misinformation on Twitter. - Michael Poulshock:
National Power as Network Flow. - Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
FairSNA: Algorithmic Fairness in Social Network Analysis. - Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem:
Communication Efficient Distributed Learning over Wireless Channels. - Juan E. Tapia, Daniel P. Benalcazar, Andres Valenzuela, Leonardo Causa, Enrique López Droguett, Christoph Busch:
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images. - Héber Hwang Arcolezi, Sébastien Gambs, Jean-François Couchot, Catuscia Palamidessi:
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy. - David Twomey, Denise Gorse:
ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification. - Aaron Roth, Alexander Tolbert, Scott Weinstein:
Reconciling Individual Probability Forecasts. - Hai Huang, Zhikun Zhang, Yun Shen, Michael Backes, Qi Li, Yang Zhang:
On the Privacy Risks of Cell-Based NAS Architectures. - James B. Simon:
On Kernel Regression with Data-Dependent Kernels. - Felix Leibfried:
Variational Inference for Model-Free and Model-Based Reinforcement Learning. - Francesca Cocchella, Giulia Pusceddu, Giulia Belgiovine, Linda Lastrico, Francesco Rea, Alessandra Sciutti:
"iCub, We Forgive You!" Investigating Trust in a Game Scenario with Kids. - Onur Günlü, Rick Fritschek, Rafael F. Schaefer:
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE. - Shweta Dahale, Balasubramaniam Natarajan:
Recursive Gaussian Process over graphs for Integrating Multi-timescale Measurements in Low-Observable Distribution Systems. - Zhangxi Zhou, Yuyao Zhang, Yezhang Li:
Model Predictive Control Design of a 3-DOF Robot Arm Based on Recognition of Spatial Coordinates. - Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen:
SFS: Smart OS Scheduling for Serverless Functions. - Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. - Satwik Patnaik, Nimisha Limaye, Ozgur Sinanoglu:
Hide & Seek: Seeking the (Un)-Hidden key in Provably-Secure Logic Locking Techniques. - Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar:
ChemBERTa-2: Towards Chemical Foundation Models. - Eric Horvitz:
On the Horizon: Interactive and Compositional Deepfakes. - Xiaodan Ren:
A multi-scale framework for neural network enhanced methods to the solution of partial differential equations. - Guanxiong Liu, Abdallah Khreishah, Fatima Sharadgah, Issa Khalil:
An Adaptive Black-box Defense against Trojan Attacks (TrojDef). - Peiwang Tang, Xianchao Zhang:
Features Fusion Framework for Multimodal Irregular Time-series Events. - Junshu Tang, Jiachen Xu, Jingyu Gong, Haichuan Song, Yuan Xie, Lizhuang Ma:
Prototype-Aware Heterogeneous Task for Point Cloud Completion. - Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang:
Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. - Jiansong Zhang, Maosheng Jiang, Jiang Zhu, Xijun Yu, Luiz Bevilacqua:
Numerical analysis of growth-mediated autochemotactic pattern formation in self-propelling bacteria. - Fatemeh Mosayeb, Shohreh Ajoudanian:
A repository of automatic GUI test patterns in Android applications: Specification and Analysis using Alloy modeling language. - Jun Li, Minqing Zhang, Ke Niu, Xiaoyuan Yang:
Investigation on Principles for Cost Assignment in Motion Vector-based Video Steganography. - Xiaoyu Feng, Heming Du, Yueqi Duan, Yongpan Liu, Hehe Fan:
SEFormer: Structure Embedding Transformer for 3D Object Detection. - Fei Hu, Honghua Chen, Xuequan Lu, Zhe Zhu, Jun Wang, Weiming Wang, Fu Lee Wang, Mingqiang Wei:
SPCNet: Stepwise Point Cloud Completion Network. - Hugo Casquero, Mahmoud Golestanian:
Removing membrane locking in quadratic NURBS-based discretizations of linear plane Kirchhoff rods: CAS elements. - Dongyuan Su, Yipeng Zhou, Laizhong Cui:
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources. - Yen-Tung Yeh, Bo-Yu Chen, Yi-Hsuan Yang:
Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation. - Yuki Sato, Teppei Deguchi, Tsuyoshi Nomura, Atsushi Kawamoto:
Free material optimization of thermal conductivity tensors with asymmetric components. - Kanghong Shi, Nastaran Nikooienejad, Ian R. Petersen, S. O. Reza Moheimani:
A negative imaginary approach to hybrid integrator-gain system control. - Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. - Dakota Wong, Austin Kothig, Patrick Lam:
Exploring the Verifiability of Code Generated by GitHub Copilot. - Jiadong Wang, Xinyuan Qian, Haizhou Li:
Predict-and-Update Network: Audio-Visual Speech Recognition Inspired by Human Speech Perception. - Boyi Liu, Lujia Wang, Ming Liu:
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics. - Jongmin Park, Kwansik Park:
Indoor Path Planning for Multiple Unmanned Aerial Vehicles via Curriculum Learning. - Tuochao Chen, Justin Chan, Shyamnath Gollakota:
Underwater Acoustic Ranging Between Smartphones. - Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang:
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. - Pinjun Luo, Guoqiang Xiao, Xinbo Gao, Song Wu:
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing. - Sadullah Canakci, Chathura Rajapaksha, Anoop Mysore Nataraja, Leila Delshadtehrani, Michael B. Taylor, Manuel Egele, Ajay Joshi:
ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers. - Bandar Alsulaimani, Amanul Islam:
Impact of 4ir technology and its impact on the current deployment. - Guozhi Lin, Jingguo Ge, Yulei Wu:
Towards Zero Touch Networks: From the Perspective of Hierarchical Language Systems. - Nikolai Kudasov, Mikhail Olokin, Oleksii Potyomkin, Nikolay Shilov, Maxim Stepanov:
Detecting unanticipated mutual recursion using Elegant Objects representation of object-oriented programs. - Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Pietro Pala, Alberto Del Bimbo, Zakia Hammal:
Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices. - Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni, Mingqian Tang:
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection. - Diego Mollá:
Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering. - Zhiyuan You, Kai Yang, Wenhan Luo, Lei Cui, Xinyi Le, Yu Zheng:
ADTR: Anomaly Detection Transformer with Feature Reconstruction. - Robert Dyer, Jigyasa Chauhan:
An Exploratory Study on the Predominant Programming Paradigms in Python Code. - Wouter J. A. van Heeswijk:
Natural Policy Gradients In Reinforcement Learning Explained. - Xanh Ho, Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa:
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension. - Vitaliy Korbashov, Nikolai Kudasov, Mikhail Olokin, Violetta Sim:
Detecting unjustified assumptions in subclasses via EO representation. - Alin Bostan, Tanguy Rivoal, Bruno Salvy:
Minimization of differential equations and algebraic values of E-functions. - Mohammadreza Shetab-Bushehri, Miguel Aranda, Youcef Mezouar, Erol Ozgur:
Lattice-based shape tracking and servoing of elastic objects. - Huiyuan Lai, Malvina Nissim:
Multi-Figurative Language Generation. - Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. - Lucien Grillet, Juan Souto:
Effective Estimation of the Dimensions of a Manifold from Random Samples. - Chenglei Qin, Chengzhi Zhang:
Which structure of academic articles do referees pay more attention to?: perspective of peer review and full-text of academic articles. - Ángel González-Prieto, Alberto Mozo, Edgar Talavera, Sandra Gómez Canaval:
Dynamics of Fourier Modes in Torus Generative Adversarial Networks. - Marco Barletta, Marcello Cinque, Luigi De Simone, Raffaele Della Corte, Giorgio Farina, Daniele Ottaviano:
RunPHI: Enabling Mixed-criticality Containers via Partitioning Hypervisors in Industry 4.0. - Kuno Kurzhals, Michael Becher, Nelusa Pathmanathan, Guido Reina:
Evaluating Situated Visualization in AR with Eye Tracking. - Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. - Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve:
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets.