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ORCIDCoRR, April 2022
- Gabriel Van Zandycke, Christophe De Vleeschouwer:
Ball 3D Localization From A Single Calibrated Image. - Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. - Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi:
Graph-based Active Learning for Semi-supervised Classification of SAR Data. - Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Data Sampling Affects the Complexity of Online SGD over Dependent Data. - Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-Based Attacks. - Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen:
Leveraging Privacy Profiles to Empower Users in the Digital Society. - Florian Tramèr
, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini:
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. - Patrik Keller, Rainer Böhme:
Parallel Proof-of-Work with Concrete Bounds. - Yujie Lu, Jianren Wang, Vikash Kumar:
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. - Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman Filtering-based Successor Representation. - Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg:
Leakage Localization in Water Distribution Networks: A Model-Based Approach. - Sergio Correia, Stephan Luck:
Digitizing Historical Balance Sheet Data: A Practitioner's Guide. - Harshvardhan P. Joshi, Mihail L. Sichitiu, Maria Kihl:
Distributed Robust Geocast Multicast Routing for Inter-Vehicle Communication. - Ceyhun Onur, Arda Yurdakul:
ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable Ranked-Choice Voting Protocol. - Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. - Marcel de Korte, Jaebok Kim, Aki Kunikoshi, Adaeze Adigwe, Esther Klabbers:
Data-augmented cross-lingual synthesis in a teacher-student framework. - Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura:
SimPO: Simultaneous Prediction and Optimization. - Shriram Srinivasan, Kaarthik Sundar, Vitaliy Gyrya, Anatoly Zlotnik:
Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas. - Shirantha Welikala, Hai Lin, Panos J. Antsaklis:
On-line Estimation of Stability and Passivity Metrics. - Nico Naus, Freek Verbeek, Marc Schoolderman, Binoy Ravindran:
Reachability Logic for Low-Level Programs. - Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. - Varun Aggarwal, Aanis Ahmad, Aaron Etienne, Dharmendra Saraswat:
4Weed Dataset: Annotated Imagery Weeds Dataset. - Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins:
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. - Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. - Jean Rouat, Ramin Pichevar, Stéphane Loiselle:
Perceptive, non-linear Speech Processing and Spiking Neural Networks. - Sijie Zhu, Mubarak Shah, Chen Chen:
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. - Jean-Mathieu Teissier, Wolf-Christian Müller:
Higher-order magnetohydrodynamic numerics. - Zihui Xue, Radu Marculescu:
Dynamic Multimodal Fusion. - Walter Zimmer, Emec Ercelik, Xingcheng Zhou, Xavier Jair Diaz Ortiz, Alois C. Knoll:
A Survey of Robust 3D Object Detection Methods in Point Clouds. - Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. - Yiming Lin, Sharad Mehrotra:
QUIP: Query-driven Missing Value Imputation. - Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
Does This Apply to Me? An Empirical Study of Technical Context in Stack Overflow. - Shahadat H. Sohel, Ramchandra Kotecha, Imran S. Khan, Karen N. Heinselman, Sreekant Narumanchi, M. Brooks Tellekamp, Andriy Zakutayev:
Gallium Oxide Heterojunction Diodes for Improved High-Temperature Performance. - Leszek Pecyna, Siyuan Dong, Shan Luo:
Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning. - Petr Slovák, Alissa Nicole Antle, Nikki Theofanopoulou, Claudia Daudén Roquet, James J. Gross, Katherine Isbister:
Designing for emotion regulation interventions: an agenda for HCI theory and research. - Subhankar Banerjee, Chung Shue Chen, Marceau Coupechoux, Abhishek Sinha:
Joint Power and Subcarrier Allocation in Multi-Cell Multi-Carrier NOMA. - Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Daniel Cascado Caballero, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers. - Neelay Junnarkar, He Yin, Fangda Gu, Murat Arcak, Peter J. Seiler:
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers. - Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. - Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. - Walter Zimmer, Marcus Grabler, Alois C. Knoll:
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation. - Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Model Predictive Control for Fluid Human-to-Robot Handovers. - Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, Charles Robert Koch:
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study. - Brian Andersen, Gregory Delipei, David Kropaczek, Jason Hou:
MOF: A Modular Framework for Rapid Application of Optimization Methodologies to General Engineering Design Problems. - Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, Charles Robert Koch:
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines. - Ayesha S. Dina, A. B. Siddique, D. Manivannan:
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks. - Young-Ho Kim, Diana Chou, Bongshin Lee, Margaret K. Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe:
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech. - Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. - Xu Zhang, Marcos M. Vasconcelos:
Robust remote estimation over the collision channel in the presence of an intelligent jammer. - Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames:
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. - Jia Liu, Wenjie Xuan, Yuhang Gan, Juhua Liu, Bo Du:
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection. - Isabella Ferreira, Bram Adams, Jinghui Cheng:
How heated is it? Understanding GitHub locked issues. - Qi Zhang, Xin Huang, Ying Feng, Xue Wang, Hongdong Li, Qing Wang:
Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis. - Zhixiang Min, Naji Khosravan, Zachary Bessinger, Manjunath Narayana, Sing Bing Kang, Enrique Dunn, Ivaylo Boyadzhiev:
LASER: LAtent SpacE Rendering for 2D Visual Localization. - Suraj Sajeev, Manish Bansal, Sriraam S. V, Jagadeesh Harshan, Huzur Saran, Yih-Chun Hu:
Secure and Ultra-Reliable Provenance Recovery in Sparse Networks: Strategies and Performance Bounds. - Mohammad Keshavarzi, Michael Zollhöfer, Allen Y. Yang, Patrick Peluse, Luisa Caldas:
Mutual Scene Synthesis for Mixed Reality Telepresence. - Chiang-Lin Tai, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Filter-based Discriminative Autoencoders for Children Speech Recognition. - Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. - Robert Ghrist, Hans Riess:
Asynchronous Diffusion of Data on Networked Lattices. - Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang:
Convergence analysis of discrete high-index saddle dynamics. - Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff:
A Unified Framework for Domain Adaptive Pose Estimation. - Yu Nakagome, Tatsuya Komatsu, Yusuke Fujita, Shuta Ichimura, Yusuke Kida:
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR. - Yusuke Fujita, Tatsuya Komatsu, Yusuke Kida:
Multi-sequence Intermediate Conditioning for CTC-based ASR. - Tatsuya Komatsu, Yusuke Fujita, Jaesong Lee, Lukas Lee, Shinji Watanabe, Yusuke Kida:
Better Intermediates Improve CTC Inference. - Wissal Attaoui, Essaid Sabir, Halima Elbiaze, Mohsen Guizani:
VNF and Container Placement: Recent Advances and Future Trends. - Biyang Liu, Huimin Yu, Guodong Qi:
GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature. - Ze Chen, Zhihang Fu, Jianqiang Huang, Mingyuan Tao, Shengyu Li, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua:
Dynamic Supervisor for Cross-dataset Object Detection. - Yulin Zhang, Dylan A. Shell:
Nondeterminism subject to output commitment in combinatorial filters. - Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Sachin Shivakumar, Matthew M. Peet:
Computational stability analysis of PDEs with integral terms using the PIE framework. - Alexander Davydov, Saber Jafarpour, Matthew Abate, Francesco Bullo, Samuel Coogan:
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. - Nilotpal Sinha, Kuan-Wen Chen:
Novelty Driven Evolutionary Neural Architecture Search. - Keitaro Nakasai, Shin Komeda, Masateru Tsunoda, Masayuki Kashima:
Measuring Cognitive Load of Software Developers Based on Nasal Skin Temperature. - Kento Kajiwara, Jue Ma, Toshikazu Seto, Yoshihide Sekimoto, Yoshiki Ogawa, Hiroshi Omata:
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. - Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang:
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. - Huaiqian You, Quinn Zhang, Colton J. Ross, Chung-Hao Lee, Ming-Chen Hsu, Yue Yu:
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements. - Brian Zhu, Jiawei Xu, Andrew Charway, David Saldaña:
PogoDrone: Design, Model, and Control of a Jumping Quadrotor. - Hampei Sasahara, György Dán, Saurabh Amin, Henrik Sandberg:
Green Routing Game: Strategic Logistical Planning using Mixed Fleets of ICEVs and EVs. - Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon:
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. - Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, Alois C. Knoll:
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. - Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. - Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. - Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. - Shiping Chen, Xinyu Ge:
Reachability Analysis of Linear System. - Leevi Raivio, Esa Rahtu:
Online panoptic 3D reconstruction as a Linear Assignment Problem. - Dianming Hou, Zhonghua Qiao:
An implicit-explicit second order BDF numerical scheme with variable steps for gradient flows. - Jun Kimata, Tomoya Nitta, Toru Tamaki:
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. - Marcos Faúndez-Zanuy:
Adaptive hybrid speech coding with a MLP LPC structure. - Liang Zhang, Yidong Cheng:
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction. - Stefano Zacchiroli:
A Large-scale Dataset of (Open Source) License Text Variants. - Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu:
Multifaceted Improvements for Conversational Open-Domain Question Answering. - Jianing Zhao, Keyi Zhu, Xiang Yin, Shaoyuan Li:
To Explore or Not to Explore: Regret-Based LTL Planning in Partially-Known Environments. - Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction. - Duy Tung Nguyen, Kathryn Kasmarik, Hussein A. Abbass:
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance. - Bho Matthiesen, Yijie Mao, Armin Dekorsy, Petar Popovski, Bruno Clerckx:
Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access. - Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Proactively Control Privacy in Recommender Systems. - Tetsuya Sakai, Jin Young Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance. - Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao:
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems. - David Speck:
Symbolic Search for Optimal Planning with Expressive Extensions. - Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Selecting task with optimal transport self-supervised learning for few-shot classification. - Georgios Katsimpras, Georgios Paliouras:
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization. - Rodolfo Zevallos:
Text-To-Speech Data Augmentation for Low Resource Speech Recognition. - Mahdieh Grailoo, Zain Ul Abideen, Mairo Leier, Samuel Pagliarini:
Preventing Distillation-based Attacks on Neural Network IP. - Zhong Fan, Jun Cao, Taskin Jamal, Chris Fogwill, Cephas Samende, Zoe Robinson, Fiona Polack, Mark Ormerod, Sharon George, Adam Peacock, David Healey:
The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero. - Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher:
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER. - Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides:
Unitail: Detecting, Reading, and Matching in Retail Scene. - Florian Euchner, Christian Senger:
PERIDOT Codes: Replacing Identifiers, Sequence Numbers and Nonces with Permutations. - Stelios Triantafyllou, Adish Singla, Goran Radanovic:
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. - Virginia Espinosa-Duro, Marcos Faúndez-Zanuy:
Face identification by means of a neural net classifier. - Guixuan Wen, Kaigui Wu:
Building Decision Forest via Deep Reinforcement Learning. - Siyu Wang, Xiaocong Chen, Lina Yao:
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. - Qiang Li, Jingjing Wang, Zhaoliang Yao, Yachun Li, Pengju Yang, Jingwei Yan, Chunmao Wang, Shiliang Pu:
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression. - Marcos Faúndez-Zanuy, Adam Slupinski:
Speaker verification in mismatch training and testing conditions. - Yiqi Gu, Michael K. Ng:
Deep neural networks for solving extremely large linear systems. - Rob Glew, Ralph Tröger, Sebastian E. Schmittner:
A solution approach for the anonymous sharing of sensitive supply chain traceability data. - Mona Buisson-Fenet, Lukas Bahr, Florent Di Meglio:
Towards gain tuning for numerical KKL observers. - Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. - Yanan Zhang, Jiaxin Chen, Di Huang:
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection. - Vaishnavi Gujjula, Sivaram Ambikasaran:
A new Directional Algebraic Fast Multipole Method based iterative solver for the Lippmann-Schwinger equation accelerated with HODLR preconditioner. - Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. - Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li:
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. - José O. Chelotti, Sebastián R. Vanrell, Luciano S. Martínez Rau, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Suyai A. Almirón, Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner:
Using segment-based features of jaw movements to recognize foraging activities in grazing cattle. - Alex Papadopoulos-Korfiatis, Francesco Moramarco, Radmila Sarac, Aleksandar Savkov:
PriMock57: A Dataset Of Primary Care Mock Consultations. - Peiling Yi, Arkaitz Zubiaga:
Cyberbullying detection across social media platforms via platform-aware adversarial encoding. - Frederik Fahrendorf, Laura De Lorenzis:
The isogeometric collocated contact surface approach. - Stefan Wildhagen, Matthias Pezzutto, Luca Schenato, Frank Allgöwer:
Self-triggered MPC robust to bounded packet loss via a min-max approach. - Utkarsh Chauhan, Vikas Joshi, Rupesh R. Mehta:
WavFT: Acoustic model finetuning with labelled and unlabelled data. - Zheng Zhao, Bonnie Webber:
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits. - Wei-Tsung Kao, Yuen-Kwei Wu, Chia-Ping Chen, Zhi-Sheng Chen, Yu-Pao Tsai, Hung-Yi Lee:
On the Efficiency of Integrating Self-supervised Learning and Meta-learning for User-defined Few-shot Keyword Spotting. - Claire E. Halloran, Filiberto Fele, Malcolm D. McCulloch:
Impact of spatiotemporal heterogeneity in heat pump loads on generation and storage requirements. - Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker:
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. - Ryusei Yoshise, Kaoru Yamamoto:
Algebraic connectivity of layered path graphs under node deletion. - Cosimo Persia, Ana Ozaki:
Extracting Rules from Neural Networks with Partial Interpretations. - Thomas Spenke, Michel Make, Norbert Hosters:
A Robin-Neumann Scheme with Quasi-Newton Acceleration for Partitioned Fluid-Structure Interaction. - Yachun Li, Ying Lian, Jingjing Wang, Yuhui Chen, Chunmao Wang, Shiliang Pu:
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection. - Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation. - Jingwei Yan, Jingjing Wang, Qiang Li, Chunmao Wang, Shiliang Pu:
Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition. - Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter, Didier Stricker:
Autoencoder Attractors for Uncertainty Estimation. - Ran Gutin:
A visualisation for conveying the dynamics of iterative eigenvalue algorithms over PSD matrices. - Steve Dias Da Cruz, Bertram Taetz, Thomas Stifter, Didier Stricker:
Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes. - Hristo Petkov, Colin Hanley, Feng Dong:
DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks. - Sihang Zeng, Zheng Yuan, Sheng Yu:
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations. - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
ECOTS: Early Classification in Open Time Series. - Amareshwara Sainadh Chamarthi, Sean Bokor, Steven H. Frankel:
On the Importance of High-Frequency Damping in High-Order Conservative Finite-Difference Schemes for Viscous Fluxes. - Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf, Maximilian Schmitt, Uwe D. Reichel, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
Probing Speech Emotion Recognition Transformers for Linguistic Knowledge. - Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen:
CTAB-GAN+: Enhancing Tabular Data Synthesis. - Mengzhou Xia, Zexuan Zhong, Danqi Chen:
Structured Pruning Learns Compact and Accurate Models. - Stephan Vogt, Jens Schreiber, Bernhard Sick:
Synthetic Photovoltaic and Wind Power Forecasting Data. - Petr D. Andriushchenko, Irina Deeva, Anna Bubnova, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. - Duc Minh Dimitri Nguyen, Mehdi Miah, Guillaume-Alexandre Bilodeau, Wassim Bouachir:
Transformers for 1D Signals in Parkinson's Disease Detection from Gait. - Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel:
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness. - Carlo Schackow, Stefan Conrad, Ingo Plag:
Sense disambiguation of compound constituents. - Max Bolderman, Mircea Lazar, Hans Butler:
Physics-guided neural networks for feedforward control: From consistent identification to feedforward controller design. - Antonio Bucciarelli, Antonio Ledda, Francesco Paoli, Antonino Salibra:
Sequent calculi of finite dimension. - Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang:
Marginal Contrastive Correspondence for Guided Image Generation. - Francesco Moramarco, Alex Papadopoulos-Korfiatis, Mark Perera, Damir Juric, Jack Flann, Ehud Reiter, Anya Belz, Aleksandar Savkov:
Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation. - Gerasimos Chatzoudis, Manos Plitsis, Spyridoula Stamouli, Athanasia-Lida Dimou, Athanasios Katsamanis, Vassilis Katsouros:
Zero-Shot Cross-lingual Aphasia Detection using Automatic Speech Recognition. - Se-Hang Cheong, Kim-Hou Ng, Yain-Whar Si:
An image classification approach for hole detection in wireless sensor networks. - Jyoti Dua, Vivek Kumar Singh, Hiran H. Lathabai:
Measuring and Characterizing International Collaboration Patterns in Indian Scientific Research: Which proximity dimensions matter? - Se-Hang Cheong, Yain-Whar Si:
Online force-directed algorithms for visualization of dynamic graphs. - Ryota Hashiguchi, Toru Tamaki:
Vision Transformer with Cross-attention by Temporal Shift for Efficient Action Recognition. - Francesco Conte, Fabio D'Agostino, Daniele Kaza, Stefano Massucco, Gianluca Natrella, Federico Silvestro:
Optimal Management of a Smart Port with Shore-Connection and Hydrogen Supplying by Stochastic Model Predictive Control. - Aleksey S. Gvozdarev, Aleksandra Alischyuk, Marina Kazakova:
Impact of System Correlation Matrix Bordering on the MU-MIMO Ergodic Sum-Rate Capacity in the Presence of the Multipath Fading Channel. - Jorge Melegati, Xiaofeng Wang:
Digital Mentor: towards a conversational bot to identify hypotheses for software startups. - David Francis:
Strategyproof and Proportional Chore Division for Piecewise Uniform Preferences. - Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos:
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. - Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes:
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design. - Sisi Miao, Lukas Rapp, Laurent Schmalen:
Improved Soft-aided Decoding of Product Codes with Dynamic Reliability Scores. - Lorenzo Testa, Giorgio Audrito, Ferruccio Damiani, Gianluca Torta:
Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things. - Mark Burgess, Andras Gerlits:
Continuous Integration of Data Histories into Consistent Namespaces. - Felix Stahlberg, Ilia Kulikov, Shankar Kumar:
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. - Miguel Calvo-Fullana, Jonathan P. How:
Distributed Filtering with Value of Information Censoring. - Francesco Latorre, Dario Spiller, Fabio Curti:
Autonomous crater detection on asteroids using a fully-convolutional neural network. - Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand:
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems. - Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin:
Proper Reuse of Image Classification Features Improves Object Detection. - Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou:
GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. - Miklós Z. Horváth, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Robust and Accurate - Compositional Architectures for Randomized Smoothing. - Breno Perricone, Thiago Lamenza, Marcelo Paulon, Bruno José Olivieri de Souza, Markus Endler:
GrADyS-GS - A ground station for managing field experiments with Autonomous Vehicles and Wireless Sensor Networks. - Shanfeng Huang, Zezhong Zhang, Shuai Wang, Rui Wang, Kaibin Huang:
Accelerating Federated Edge Learning via Topology Optimization. - Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper:
FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. - Armeen Taeb, Nicolò Ruggeri, Carina Schnuck, Fanny Yang:
Provable concept learning for interpretable predictions using variational inference. - Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc:
A Global Modeling Approach for Load Forecasting in Distribution Networks. - Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri, Andrea Mazzino, Lorenzo Rosasco, Agnese Seminara:
Physics Informed Shallow Machine Learning for Wind Speed Prediction. - Adam Gudys, Marek Sikora, Lukasz Wróbel:
Separate and conquer heuristic allows robust mining of contrast sets from various types of data. - Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau:
Evaluating the Text-to-SQL Capabilities of Large Language Models. - Kalani Picho, Brandon Persons, Jesse F. d'Almeida, Nicholas E. Pacheco, Colin Reynolds, Loris Fichera:
Multi Jet Fusion of Nylon-12: A Viable Method to 3D-print Concentric Tube Robots? - Giulio Basso, Michael Taynnan Barros:
Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating with Spike Pattern Diversity. - Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer:
Deep Learning in Spiking Phasor Neural Networks. - Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou:
Learning Disentangled Representations of Negation and Uncertainty. - Abdullah Al Maruf, Luyao Niu, Andrew Clark, J. Sukarno Mertoguno, Radha Poovendran:
A Compositional Approach to Safety-Critical Resilient Control for Systems with Coupled Dynamics. - Luyao Niu, Abdullah Al Maruf, Andrew Clark, J. Sukarno Mertoguno, Radha Poovendran:
An Analytical Framework for Control Synthesis of Cyber-Physical Systems with Safety Guarantee. - Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Wenjie Zhang:
Balanced Clique Computation in Signed Networks: Concepts and Algorithms. - Frédéric Latrémolière, Sadananda Narayanappa, Petr Vojtechovský:
Estimating the Jacobian matrix of an unknown multivariate function from sample values by means of a neural network. - Dan Olteanu, Nils Vortmeier, Dorde Zivanovic:
Givens QR Decomposition over Relational Databases. - Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu:
LDP-IDS: Local Differential Privacy for Infinite Data Streams. - Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou:
Self-adjusting Population Sizes for the (1, λ)-EA on Monotone Functions. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. - Massimiliano Lupo Pasini, Simona Perotto:
Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. - Xuankai Chang, Takashi Maekaku, Yuya Fujita, Shinji Watanabe:
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. - Tanmay Sinha, Zhen Bai, Justine Cassell:
A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning. - Madhavi Bangalore Shankara Narayana, Elisabetta Benevento, Marco Pegoraro, Muhammad Abdullah, Rahim Bin Shahid, Qasim Sajid, Muhammad Usman Mansoor, Wil M. P. van der Aalst:
A Web-Based Tool for Comparative Process Mining. - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. - Yalchin Efendiev, Wing Tat Leung, Wenyuan Li, Sai-Mang Pun, Petr N. Vabishchevich:
Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations. - Mohammadmahdi Nouriborji, Omid Rohanian, David A. Clifton:
Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression. - Xuandi Fu, Feng-Ju Chang, Martin Radfar, Kai Wei, Jing Liu, Grant P. Strimel, Kanthashree Mysore Sathyendra:
Multi-task RNN-T with Semantic Decoder for Streamable Spoken Language Understanding. - Shuai Chen, Xinghui Li, Zirui Wang, Victor Adrian Prisacariu:
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching. - (Withdrawn) Arithmetic logical Irreversibility and the Turing's Halt Problem.
- Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White:
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. - Vismay Modi, Yixin Chen, Abhishek Madan, Shinjiro Sueda, David I. W. Levin:
Multi-Agent Path Planning with Asymmetric Interactions In Tight Spaces. - Kendrick Shen, Robbie Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang:
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. - Arnaud Durand, Juha Kontinen, Jouko Väänänen:
Modular SAT-based techniques for reasoning tasks in team semantics. - Stephan Ludwig, Doris Aschenbrenner, Marvin Scharle, Henrik Klessig, Michael Karrenbauer, Huanzhuo Wu, Maroua Taghouti, Pedro Tercero Lozano, Hans D. Schotten, Frank H. P. Fitzek:
Reference Network and Localization Architecture for Smart Manufacturing based on 5G. - Leonardo Christino, Fernando V. Paulovich:
From Data to Knowledge Graphs: A Multi-Layered Method to Model User's Visual Analytics Workflow for Analytical Purposes. - Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir:
Robust and Efficient Aggregation for Distributed Learning. - Travis Cuvelier, Takashi Tanaka, Robert W. Heath Jr.:
Prefix-Free Coding for LQG Control. - Alexandre Sanfelici Bazanella, Diego Eckhard:
Nonlinear VRFT with LASSO. - Imke Grabe, Jichen Zhu, Manex Agirrezabal:
Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space. - Semih Kara, Nuno C. Martins, Murat Arcak:
Population Games With Erlang Clocks: Convergence to Nash Equilibria For Pairwise Comparison Dynamics. - Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré:
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. - Manuela Geiß, Martin Baresch, Georgios C. Chasparis, Edwin Schweiger, Nico Teringl, Michael Zwick:
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing. - Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. - Joshua Ani, Erik D. Demaine, Yevhenii Diomidov, Dylan H. Hendrickson, Jayson Lynch:
Traversability, Reconfiguration, and Reachability in the Gadget Framework. - Melanie Warrick, Samuel F. Rosenblatt, Jean-Gabriel Young, Amanda Casari, Laurent Hébert-Dufresne, James P. Bagrow:
The OCEAN mailing list data set: Network analysis spanning mailing lists and code repositories. - Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov:
Quantized GAN for Complex Music Generation from Dance Videos. - Bernhard Schölkopf, Julius von Kügelgen:
From Statistical to Causal Learning. - Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen:
On the Importance of Asymmetry for Siamese Representation Learning. - Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron C. Courville:
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. - Alexander Ororbia, Matthew Alex Kelly:
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture. - Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry:
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. - Hashini Gunatilake, Dulaji Hidellaarachchi, Sandra Perera, Damitha Sandaruwan, Maheshya Weerasinghe:
An ICT based Solution for Virtual Garment Fitting for Online Market Place: A Review of Related Literature. - Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. - Nicholas D. Boltin, Joan Marie Culley, Homayoun Valafar:
Application of Dimensional Reduction in Artificial Neural Networks to Improve Emergency Department Triage During Chemical Mass Casualty Incidents. - Xianling Zhang, Nathan Tseng, Ameerah Syed, Rohan Bhasin, Nikita Jaipuria:
SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks. - Christian DeBuys, Florin C. Ghesu, Reza Langari, Young-Ho Kim:
Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography. - Hao Chen:
Cluster-based ensemble learning for wind power modeling with meteorological wind data. - Hao Chen:
Knowledge distillation with error-correcting transfer learning for wind power prediction. - Nikita Seleznev, Senthil Kumar, C. Bayan Bruss:
Double-Hashing Algorithm for Frequency Estimation in Data Streams. - Richard Rose, Olivier Siohan:
End-to-end multi-talker audio-visual ASR using an active speaker attention module. - Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames:
Safe Backstepping with Control Barrier Functions. - Jan de Priester, Ricardo G. Sanfelice, Nathan van de Wouw:
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control. - Jacqueline Hausmann, Md Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Yu Sun:
Robust Neonatal Face Detection in Real-world Clinical Settings. - Samrudhdhi B. Rangrej, Chetan L. Srinidhi, James J. Clark:
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes. - Joel Getchius, Devin Renshaw, Daniel Posada, Troy Henderson, Lillian Hong, Shen Ge, Giovanni Molina:
Hazard Detection And Avoidance For The Nova-C Lander. - Nishant Kambhatla, Logan Born, Anoop Sarkar:
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation. - Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis:
Learnable latent embeddings for joint behavioral and neural analysis. - Roshan Sah, Raunak Srivastava, Kaushik Das:
Design of Low Thrust Controlled Maneuvers to Chase and De-orbit the Space Debris. - Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti:
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation. - Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid:
Learning Audio-Video Modalities from Image Captions. - Aleksey S. Gvozdarev:
Capacity Higher-Order Statistics Analysis for κ-μ Fading Channels with Correlated Shadowing. - James D. Haley:
Assimilation of Satellite Active Fires Data. - Douglas Zytko, Hanan Aljasim:
Designing AI for Online-to-Offline Safety Risks with Young Women: The Context of Social Matching. - Douglas Zytko, Nicholas Furlo, Hanan Aljasim:
Human-AI Interaction for User Safety in Social Matching Apps: Involving Marginalized Users in Design. - Houssem Ben Braiek, Foutse Khomh:
Testing Feedforward Neural Networks Training Programs. - Abhay Singh Bhadoriya, Christopher Montez, Sivakumar Rathinam, Swaroop Darbha, David W. Casbeer, Satyanarayana G. Manyam:
Assisted Shortest Path Planning for a Convoy through a Repairable Network. - Abed AlRahman Al Makdah, Vishaal Krishnan, Vaibhav Katewa, Fabio Pasqualetti:
Behavioral Feedback for Optimal LQG Control. - Luca Ballotta, Giovanni Peserico, Francesco Zanini:
A Reinforcement Learning Approach to Sensing Design in Resource-Constrained Wireless Networked Control Systems. - Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama:
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. - Xinyu Hua, Lu Wang:
Efficient Argument Structure Extraction with Transfer Learning and Active Learning. - Ciyuan Zhang, Sebin Gracy, Tamer Basar, Philip E. Pare:
A Networked Competitive Multi-Virus SIR Model: Analysis and Observability. - Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations. - Shengyao Zhuang, Guido Zuccon:
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. - Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta:
A Sensory Feedback Control Law for Octopus Arm Movements. - Shengyao Zhuang, Hang Li, Guido Zuccon:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. - Katherine Wang, Simon Julier, Youngjun Cho:
Attention-Based Applications in Extended Reality to Support Autistic Users: A Systematic Review. - Clara Moge, Katherine Wang, Youngjun Cho:
Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI. - Édouard Bonnet, Dibyayan Chakraborty, Eun Jung Kim, Noleen Köhler, Raul Lopes, Stéphan Thomassé:
Twin-width VIII: delineation and win-wins. - Mehmet Furkan Demirel, Enrico Au-Yeung:
Analysis of Sparse Subspace Clustering: Experiments and Random Projection. - Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau:
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. - Hang Lou, Siran Li, Hao Ni:
Path Development Network with Finite-dimensional Lie Group Representation. - Tadashi Nomoto:
Learning to Simplify with Data Hopelessly Out of Alignment. - David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova:
Generating recommendations for entity-oriented exploratory search. - A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo:
What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. - Bo Hui, Wenlu Wang, Jiao Yu, Zhitao Gong, Wei-Shinn Ku, Min-Te Sun, Hua Lu:
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques. - Najah Mary El-Gharib, Daniel Amyot:
A Review of Data-driven Robotic Process Automation Exploiting Process Mining. - Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. - Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua:
Homography Loss for Monocular 3D Object Detection. - Steven Carr, Nils Jansen, Sebastian Junges, Ufuk Topcu:
Safe Reinforcement Learning via Shielding for POMDPs. - Shahroz Unar, Mukhtiar Ali Unar, Zubair Ahmed Memon, Sanam Narejo:
A neural network based heading and position control system of a ship. - Lan Wang, Vishnu Naresh Boddeti:
Do learned representations respect causal relationships? - (Withdrawn) Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems.
- Milind Chabbi, Murali Krishna Ramanathan:
A Study of Real-World Data Races in Golang. - Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Díez, Tim Polzehl, Lukás Burget, Jan Honza Cernocký:
Speaker adaptation for Wav2vec2 based dysarthric ASR. - (Withdrawn) Improved Approximation Algorithm for Graph Burning on Trees.
- Kaiming Shen, Wei Yu, Xihan Chen, Saeed R. Khosravirad:
Energy Efficient HARQ for Ultrareliability via Novel Outage Probability Bound and Geometric Programming. - Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang:
Revealing the real-world CO2 emission reduction of ridesplitting and its determinants based on machine learning. - Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Jin Song Dong:
Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning. - Meghna Singh, Atreyee Kundu:
A probabilistic scheduling algorithm for networked control systems. - Daochang Wang, Fan Zhang, Fei Ma, Wei Hu, Yu Tang, Yongsheng Zhou:
SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images. - Nankai Lin, Yingwen Fu, Xiaotian Lin, Aimin Yang, Shengyi Jiang:
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis. - Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang:
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning. - Ya-Li Li, Shengjin Wang:
R(Det)^2: Randomized Decision Routing for Object Detection. - Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha:
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. - Yingwen Fu, Nankai Lin, Ziyu Yang, Shengyi Jiang:
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition. - Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita:
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. - Gilbert Moisio, Alexandre Gonzalvez, Noam Zeitoun:
Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey. - Salima Mdhaffar, Jarod Duret, Titouan Parcollet, Yannick Estève:
End-to-end model for named entity recognition from speech without paired training data. - Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi:
HLDC: Hindi Legal Documents Corpus. - Chao Yu, Yi Shen, Yue Mao, Longjun Cai:
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification. - Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. - Guodong Ma, Pengfei Hu, Jian Kang, Shen Huang, Hao Huang:
Leveraging Phone Mask Training for Phonetic-Reduction-Robust E2E Uyghur Speech Recognition. - Spyros Zoupanos, Stratis Kolovos, Athanasios Kanavos, Orestis Papadimitriou, Manolis Maragoudakis:
Efficient comparison of sentence embeddings. - Helin Wang, Dongchao Yang, Chao Weng, Jianwei Yu, Yuexian Zou:
Improving Target Sound Extraction with Timestamp Information. - Duo Peng, Yinjie Lei, Munawar Hayat, Yulan Guo, Wen Li:
Semantic-Aware Domain Generalized Segmentation. - Zihao Li, Hao Xu, Yang Fang, Boyuan Zhao, Lei Zhang:
Recordism: A social-scientific prospect of blockchain from social, legal, financial, and technological perspectives. - Hui Wang, Yong Wang, Wan-Lei Zhao:
Graph-based Approximate NN Search: A Revisit. - Jun Lu:
AdaSmooth: An Adaptive Learning Rate Method based on Effective Ratio. - Mu Hu, Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Online Convolutional Re-parameterization. - Visal Rajapakse, Ishan Karunanayake, Nadeem Ahmed:
Intelligence at the Extreme Edge: A Survey on Reformable TinyML. - Jing He, Yiyi Zhou, Qi Zhang, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. - Siyang Wen, Wei Guo, Yi Liu, Ruijie Wu:
Rotated Object Detection via Scale-invariant Mahalanobis Distance in Aerial Images. - Shiyao Ma, Jiangtian Nie, Jiawen Kang, Lingjuan Lyu, Ryan Wen Liu, Ruihui Zhao, Ziyao Liu, Dusit Niyato:
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer. - Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur:
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. - Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. - Héber Hwang Arcolezi:
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine Learning. - Chengyin Hu, Kalibinuer Tiliwalidi:
Adversarial Neon Beam: Robust Physical-World Adversarial Attack to DNNs. - Aoyu Wu, Wai Tong, Haotian Li, Dominik Moritz, Yong Wang, Huamin Qu:
ComputableViz: Mathematical Operators as a Formalism for Visualization Processing and Analysis. - Uma Girish, Kunal Mittal, Ran Raz, Wei Zhan:
Polynomial Bounds On Parallel Repetition For All 3-Player Games With Binary Inputs. - Jia Chen, Di Wu, Xin Luo:
A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data. - Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. - Ayyappa Swamy Thatavarthy, Sudarshan S. Harithas, Gurkirat Singh, Arun Kumar Singh, K. Madhava Krishna:
UrbanFly: Uncertainty-Aware Planning for Navigation Amongst High-Rises with Monocular Visual-Inertial SLAM Maps. - Dorde Zikelic, Bor-Yuh Evan Chang, Pauline Bolignano, Franco Raimondi:
Differential Cost Analysis with Simultaneous Potentials and Anti-potentials. - Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi:
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. - Jianrong Wang, Jinyu Liu, Longxuan Zhao, Shanyu Wang, Ruiguo Yu, Li Liu:
Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature. - Chaoquan Cai, Dan Lin:
Find Another Me Across the World - Large-scale Semantic Trajectory Analysis Using Spark. - Ruonan Wang, Yuxi Qian, Fangxiang Feng, Xiaojie Wang, Huixing Jiang:
Co-VQA : Answering by Interactive Sub Question Sequence. - Nikolaos Gialitsis, Sotiris Kotitsas, Haris Papageorgiou:
SciNoBo : A Hierarchical Multi-Label Classifier of Scientific Publications. - Yutai Hou, Cheng Chen, Xianzhen Luo, Bohan Li, Wanxiang Che:
Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging. - Guogang Liao, Ze Wang, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang:
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks. - Shintaro Ishikawa, Komei Sugiura:
Moment-based Adversarial Training for Embodied Language Comprehension. - Hehan Teng, Tao He, Yuchen Guo, Zhenhua Guo, Guiguang Ding:
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets. - Minsoo Kang, Jaeyoo Park, Bohyung Han:
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation. - Hai Nguyen, Zhihan Yang, Andrea Baisero, Xiao Ma, Robert Platt, Christopher Amato:
Hierarchical Reinforcement Learning under Mixed Observability. - Christina Giannoula, Ivan Fernandez, Juan Gómez-Luna, Nectarios Koziris, Georgios I. Goumas, Onur Mutlu:
Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems. - Yichen Zhang, Yifang Yin, Ying Zhang, Roger Zimmermann:
Mix-up Self-Supervised Learning for Contrast-agnostic Applications. - Hideki Kawahara, Kohei Yatabe, Ken-Ichi Sakakibara, Tatsuya Kitamura, Hideki Banno, Masanori Morise:
An objective test tool for pitch extractors' response attributes. - Sanjit Bhowmick, Alexandre Fotue Tabue, Joydeb Pal:
On the linear 𝓁-intersection pair of codes over a finite principal ideal ring. - Antoine Lavault, Axel Roebel, Matthieu Voiry:
StyleWaveGAN: Style-based synthesis of drum sounds with extensive controls using generative adversarial networks. - Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An:
MAANG? MANGA? Characterizing Spontaneous Ideation Contest on Social Media. - Hideki Kawahara, Kohei Yatabe, Ken-Ichi Sakakibara, Tatsuya Kitamura, Hideki Banno, Masanori Morise:
Measuring pitch extractors' response to frequency-modulated multi-component signals. - Abe Kazemzadeh:
BERT-Assisted Semantic Annotation Correction for Emotion-Related Questions. - Zeyong Wei, Honghua Chen, Hao Tang, Qian Xie, Mingqiang Wei, Jun Wang:
Deep Algebraic Fitting for Multiple Circle Primitives Extraction from Raw Point Clouds. - Vincent Meilinger:
Application of Stochastic Optimization Techniques to the Unit Commitment Problem - A Review. - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera:
Word separation in continuous sign language using isolated signs and post-processing. - Peng Xu, Xinwei Deng, Alejandro Salado:
A UCB-based Tree Search Approach to Joint Verification-Correction Strategy for Large Scale Systems. - Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen:
Learning to Augment for Casual User Recommendation. - Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. - Pedro Sandoval Segura, Wallace Lawson:
AutoProtoNet: Interpretability for Prototypical Networks. - Sharif Ahmed, Arif Ahmed, Nasir U. Eisty:
Automatic Transformation of Natural to Unified Modeling Language: A Systematic Review. - Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei:
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification. - Steven Oud, Koen Van Der Pool:
The Effects of the Environment and Linear Actuators on Robot Morphologies. - Nicholas Rober, Maxwell Hammond, Venanzio Cichella, Juan E. Martin, Pablo M. Carrica:
3D Path Following and L1 Adaptive Control for Underwater Vehicles. - Akash Gupta, Jingen Liu, Liefeng Bo, Amit K. Roy-Chowdhury, Tao Mei:
A-ACT: Action Anticipation through Cycle Transformations. - Rui-Yang Ju, Ting-Yu Lin, Jia-Hao Jian, Jen-Shiun Chiang:
TripleNet: A Low Computing Power Platform of Low-Parameter Network. - Wei Liao:
Progressive Minimal Path Method with Embedded CNN. - Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné:
Matching Feature Sets for Few-Shot Image Classification. - Dimitrios Sykas, Maria Sdraka, Dimitrios Zografakis, Ioannis Papoutsis:
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning. - Emrah Sariboz, Gaurav Panwar, Roopa Vishwanathan, Satyajayant Misra:
FIRST: FrontrunnIng Resilient Smart ConTracts. - David Bruns-Smith:
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain. - Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. - Ji Fang, Vincent C. S. Lee, Haiyan Wang:
Dynamic physical activity recommendation on personalised mobile health information service: A deep reinforcement learning approach. - Li Sui, Shawn Rasheed, Amjed Tahir, Jens Dietrich:
A Study of Single Statement Bugs Involving Dynamic Language Features. - Minchul Kim, Anil K. Jain, Xiaoming Liu:
AdaFace: Quality Adaptive Margin for Face Recognition. - Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu:
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. - Wenxuan Wang, Xuelin Qian, Yanwei Fu, Xiangyang Xue:
DST: Dynamic Substitute Training for Data-free Black-box Attack. - Zhixin Yan, Jiawei Huang, Kehua Xiang:
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification. - Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng:
Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature. - Yuxi Qian, Yuncong Hu, Ruonan Wang, Fangxiang Feng, Xiaojie Wang:
Question-Driven Graph Fusion Network For Visual Question Answering. - Yujin Han, Pan Du, Kai Yang:
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging. - Priyank Dubey, Bilal Shah:
Deep Speech Based End-to-End Automated Speech Recognition (ASR) for Indian-English Accents. - Canran Wang, Netanel Raviv:
Breaking Blockchain's Communication Barrier with Coded Computation. - Xuanyu Liu, Huajie Chen, Christoph Ortner:
Stability of the Minimum Energy Path. - Alsharif Abuadbba, Shuo Wang, Mahathir Almashor, Muhammad Ejaz Ahmed, Raj Gaire, Seyit Camtepe, Surya Nepal:
Towards Web Phishing Detection Limitations and Mitigation. - Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. - JooYoung Lee, Siqi Wu, Ali Mert Ertugrul, Yu-Ru Lin, Lexing Xie:
Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics. - Kexue Fu, Peng Gao, Shaolei Liu, Renrui Zhang, Yu Qiao, Manning Wang:
POS-BERT: Point Cloud One-Stage BERT Pre-Training. - Yixuan Zhou, Changhe Song, Xiang Li, Luwen Zhang, Zhiyong Wu, Yanyao Bian, Dan Su, Helen Meng:
Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis. - Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu:
Improving Vision Transformers by Revisiting High-frequency Components. - Ting Wang, Huajie Chen, Aihui Zhou, Yuzhi Zhou, Daniel Massatt:
Convergence of the Planewave Approximations for Quantum Incommensurate Systems. - Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Deyi Xiong, Shizhan Chen, Zhiqiang Zhuang, Zhiyong Feng:
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension. - Qi Zhao, Bai Yan, Yuhui Shi:
AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems. - Ba-Phuc Huynh, Joonbum Bae:
Impact Intensity Estimation of a Quadruped Robot without Using a Force Sensor. - Zhilin Huang, Chujun Qin, Zhenyu Weng, Yuesheng Zhu:
Region-aware Attention for Image Inpainting. - Se-Hang Cheong, Yain-Whar Si:
Force-directed algorithms for schematic drawings and placement: A survey. - Sepideh Shafiei, S. Hakam:
A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering. - Tianyuan Huang, Yi-Fei Liu, Yuan-Chen Wang, Hai-Qiang Guo, Jun Ma, Bin Zhao:
Eddy Covariance: A Scientometric Review (1981-2018). - Joel Ruben Antony Moniz, Barun Patra, Matthew R. Gormley:
On Efficiently Acquiring Annotations for Multilingual Models. - Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao:
TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. - Mitja Jancic, Filip Strnisa, Gregor Kosec:
Implicit-Explicit Error Indicator based on Approximation Order. - Qianqian Liu, Fengying Dang, Xiaofan Wang, Xiaoqiang Ren:
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller. - Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma:
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes. - Yuya Hasegawa, Satoshi Ikehata, Kiyoharu Aizawa:
Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image. - Wenqing Zhu, Norihiro Yoshida, Toshihiro Kamiya, Eunjong Choi, Hiroaki Takada:
MSCCD: Grammar Pluggable Clone Detection Based on ANTLR Parser Generation. - Shun Xu:
An iterative formula of smallest singular value of nonsingular matrices. - Sen He, Yi-Zhe Song, Tao Xiang:
Style-Based Global Appearance Flow for Virtual Try-On. - Zhigang Lu, Hassan Jameel Asghar, Mohamed Ali Kâafar, Darren Webb, Peter Dickinson:
A Differentially Private Framework for Deep Learning with Convexified Loss Functions. - Carl Strathearn, Dimitra Gkatzia:
Task2Dial: A Novel Task and Dataset for Commonsense enhanced Task-based Dialogue Grounded in Documents. - Aboli Marathe, Rahee Walambe, Ketan Kotecha:
In Rain or Shine: Understanding and Overcoming Dataset Bias for Improving Robustness Against Weather Corruptions for Autonomous Vehicles. - Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Learning Linear Representations of Nonlinear Dynamics Using Deep Learning. - A. A. Snarskii, I. V. Bezsudnov:
Forward and backward mapping of image to 2D vector field using fiber bundle color space. - Yi Liu, Wenbin Chen, Yanqiu Wang:
A Weak Galerkin Mixed Finite Element Method for second order elliptic equations on 2D Curved Domains. - Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson:
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI. - Nima Manafzadeh Dizbin:
Modelling and Control of Production Systems based on Observed Inter-event Times: An Analytical and Empirical Investigation (Ph.D. Thesis). - Ningkai Mo, Wanshui Gan, Naoto Yokoya, Shifeng Chen:
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework. - Andrew Melnik, Eren Akbulut, Jannik Sheikh, Kira Loos, Michael Büttner, Tobias Lenze:
Faces: AI Blitz XIII Solutions. - Marco Petrella, Rémi Abgrall, Siddhartha Mishra:
On the discrete equation model for compressible multiphase fluid flows. - Yuan Zhang:
On Constrained Input Selections for Structured Systems: Polynomially Solvable Cases. - Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu:
Virtual Relational Knowledge Graphs for Recommendation. - Alaa A. Anani, Mohamed Ghanem, Lotfy Abdel Khaliq:
Breaking the De-Pois Poisoning Defense. - Qian Long, Kaushik Das, Poul Ejnar Sørensen:
Hierarchical Frequency Control of Hybrid Power Plants Using Frequency Response Observer. - Brandon Foggo, Koji Yamashita, Nanpeng Yu:
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results. - John M. Giorgi, Gary D. Bader, Bo Wang:
A sequence-to-sequence approach for document-level relation extraction. - Pedro Sandoval Segura:
Adversarially robust segmentation models learn perceptually-aligned gradients. - Meng Cai, Ruisheng Qi, Xiaojie Wang:
Strong convergence rates of an explicit scheme for stochastic Cahn-Hilliard equation with additive noise. - Feng Han, Jingang Yi:
Learning-Based Safe Motion Control of Vehicle Ski-Stunt Maneuvers. - Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr:
A Formal Privacy Framework for Partially Private Data. - Junwei Ma, Bo Li, Ali Mostafavi:
Characterizing Urban Lifestyle Signatures Using Motif Properties in Network of Places. - Shanxiang Lyu, Cong Ling, Hao Chen:
Better Lattice Quantizers Constructed from Complex Integers. - Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas:
Adaptive Stochastic MPC under Unknown Noise Distribution. - Shesh Narayan Gupta, Nicholas Bear Brown:
Adjusting for Bias with Procedural Data. - Sai Sirisha Rallabandi, Sebastian Möller:
On incorporating social speaker characteristics in synthetic speech. - Daoming Liu, Florian Rist, Helmut Pottmann, Dominik L. Michels:
UrbanFlow: Designing Comfortable Outdoor Areas. - Joshua Hanson, Maxim Raginsky:
Fitting an immersed submanifold to data via Sussmann's orbit theorem. - Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan:
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location. - Kim Hammar, Rolf Stadler:
A System for Interactive Examination of Learned Security Policies. - Andreas ten Pas, Colin Keil, Robert Platt:
Efficient and Accurate Candidate Generation for Grasp Pose Detection in SE(3). - Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic:
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms. - Boxi Jiang, Mohammad Reza Amini, Yingqian Liao, Joaquim R. R. A. Martins, Jing Sun:
Control Co-design of a Hydrokinetic Turbine with Open-loop Optimal Control. - Kejie Li, Yansong Tang, Victor Adrian Prisacariu, Philip H. S. Torr:
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion. - Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs Campbell:
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion. - Chuong Nguyen, Lingfan Bao, Quan Nguyen:
Continuous Jumping for Legged Robots on Stepping Stones via Trajectory Optimization and Model Predictive Control. - (Withdrawn) Intelligent Reflective Surface Deployment in 6G: A Comprehensive Survey.
- Wenyan Ou, Jiaming Zhang, Kunyu Peng, Kailun Yang, Gerhard Jaworek, Karin Müller, Rainer Stiefelhagen:
Indoor Navigation Assistance for Visually Impaired People via Dynamic SLAM and Panoptic Segmentation with an RGB-D Sensor. - Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian:
Byzantine-Robust Federated Linear Bandits. - Davide Zorzenon, Jan Komenda, Jörg Raisch:
Switched Max-Plus Linear-Dual Inequalities: Application in Scheduling of Multi-Product Processing Networks. - Oren Katzir, Dani Lischinski, Daniel Cohen-Or:
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons. - Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski:
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. - Jaeha Kim, Michael Kent, Katharina Kral, Timur Dogan:
Seemo: A new tool for early design window view satisfaction evaluation in residential buildings. - Ernest Davis:
Pragmatic constraints and pronoun reference disambiguation: the possible and the impossible. - Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. - Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Marzieh Saeidi, Lambert Mathias, Veselin Stoyanov, Majid Yazdani:
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models. - Seth Kulick, Neville Ryant, Beatrice Santorini, Joel Wallenberg:
A Part-of-Speech Tagger for Yiddish: First Steps in Tagging the Yiddish Book Center Corpus. - Robin Fritsch, Marino Müller, Roger Wattenhofer:
Analyzing Voting Power in Decentralized Governance: Who controls DAOs? - Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu:
Exploiting Temporal Relations on Radar Perception for Autonomous Driving. - Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi:
Revisiting a kNN-based Image Classification System with High-capacity Storage. - Khai Nguyen, Nhat Ho:
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution. - Thien-Nu Hoang, Daehee Kim:
Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders. - Shaohan Wu, Brian L. Hughes:
Antenna Impedance Estimation at MIMO Receivers. - Hyeoncheol Noh, Jingi Ju, Minseok Seo, Jongchan Park, Dong-Geol Choi:
Unsupervised Change Detection Based on Image Reconstruction Loss. - Evan Madill, Ben Nguyen, Carson K. Leung, Sara Rouhani:
ScaleSFL: A Sharding Solution for Blockchain-Based Federated Learning. - Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann:
Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. - Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata:
Attribute Prototype Network for Any-Shot Learning. - Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. - Kaibin Tian, Qijie Wei, Xirong Li:
Co-Teaching for Unsupervised Domain Adaptation and Expansion. - Colin Hagemeyer:
Learning Linear Symmetries in Data Using Moment Matching. - Peter Washington, Aayush Nandkeolyar, Sam Yang:
MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems. - Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung:
Animatable Neural Radiance Fields from Monocular RGB-D. - Meghal Gupta, Naren Sarayu Manoj:
An Optimal Algorithm for Certifying Monotone Functions. - Wanyu Du, Jianqiao Zhao, Liwei Wang, Yangfeng Ji:
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors. - Changyu Bi, Vassos Hadzilacos, Sam Toueg:
Parameterized algorithm for replicated objects with local reads. - Siyuan Tang, Xianghang Mi, Ying Li, XiaoFeng Wang, Kai Chen:
Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam. - Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. - Muhammad Huzaifah, Ivan Kukanov:
Analysis of Joint Speech-Text Embeddings for Semantic Matching. - Yunhui He:
A Vanka-based parameter-robust multigrid relaxation for the Stokes-Darcy Brinkman problems. - Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Dynamic Focus-aware Positional Queries for Semantic Segmentation. - Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. - Aimin Li, Shaohua Wu, Jian Jiao, Ning Zhang, Qinyu Zhang:
Age of Information with Hybrid-ARQ: A Unified Explicit Result. - Sagnik Sen, Éric Sopena, S. Taruni:
Homomorphisms of (n, m)-graphs with respect to generalised switch. - Athena Abdi, Sina Shahoveisi:
FT-EALU: Fault Tolerant Arithmetic and Logic Unit for Critical Embedded and Real time Systems. - Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. - Dongsu Zhang, Changwoon Choi, Inbum Park, Young Min Kim:
Probabilistic Implicit Scene Completion. - Minsu Kim, Joanna Hong, Se Jin Park, Yong Man Ro:
Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video. - Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. - Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. - Libo Sun, Wei Yin, Enze Xie, Zhengrong Li, Changming Sun, Chunhua Shen:
Improving Monocular Visual Odometry Using Learned Depth. - Stefan A. Sauter:
The inf-sup constant for Crouzeix-Raviart triangular elements of any polynomial order. - Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu:
FedSynth: Gradient Compression via Synthetic Data in Federated Learning. - Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu:
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. - Mohammed A. M. Elhassan, Chenhui Yang, Chenxi Huang, Tewodros Legesse Munea:
SPFNet: Subspace Pyramid Fusion Network for Semantic Segmentation. - Sadhana Tiwari, Sonali Agarwal:
Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming. - Jedrzej Stanczak, Umur Karabulut, Ahmad Awada:
Conditional Handover in 5G: Principles, Future Use Cases and FR2 Performance. - Lucas Gren, Martin J. Shepperd:
Problem reports and team maturity in agile automotive software development. - Jirí Balun, Tomás Masopust:
Verifying Weak and Strong k-Step Opacity in Discrete-Event Systems. - Markus Schütz, Bernhard Kerbl, Michael Wimmer:
Software Rasterization of 2 Billion Points in Real Time. - Christoph Wehner, Francis Powlesland, Bashar Altakrouri, Ute Schmid:
Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation. - Marcos Faúndez-Zanuy:
On The Model Size Selection For Speaker Identification. - Marcos Faúndez-Zanuy:
Nonlinear Vectorial Prediction with Neural Nets. - Jiajun Fu, Fuxing Yang, Xiaoli Liu, Jianqin Yin:
Learning Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction. - Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto:
REM: Routing Entropy Minimization for Capsule Networks. - Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park:
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. - Malik Imran Daud, Muhammad Shaheen, Abbas Ahmed:
Multivariate Microaggregation of Set-Valued Data. - Tobias Stollenwerk, Stuart Hadfield:
Diagrammatic Analysis for Parameterized Quantum Circuits. 262-301 - Dhruva Khanzode, Ranjan K. Jha, Emilie Duchalais, Damien Chablat:
Stacked Tensegrity Mechanism for Medical Application. - Pierre Dragicevic:
Towards Immersive Humanitarian Visualizations. - Linlin Liu, Qian Fu, Fei Hou, Ying He:
Flexible Portrait Image Editing with Fine-Grained Control. - Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu:
RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo. - Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. - Lei Sun:
IMOT: General-Purpose, Fast and Robust Estimation for Spatial Perception Problems with Outliers. - Xiaohu Zheng, Wen Yao, Xiaoqian Chen:
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems. - Ding Shi, Linfeng Song, Wenqi Zhou, Xiqi Gao, Cheng-Xiang Wang, Geoffrey Ye Li:
Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications. - Joanna E. De Torres:
Assessment on LSPU-SPCC Students Readiness towards M-learning. - Jakob Smedegaard Andersen, Walid Maalej:
Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers. - Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz:
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System. - Christoph Böddeker, Tobias Cord-Landwehr, Thilo von Neumann, Reinhold Haeb-Umbach:
An Initialization Scheme for Meeting Separation with Spatial Mixture Models. - Yue Yu:
mVEM: A MATLAB Software Package for the Virtual Element Methods. - Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin, Jinghua Zhang, Tao Jiang, Wenjun Qin, Marcin Grzegorzek:
An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. - Federico Quin, Danny Weyns:
SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing. - Justin H. Le, Andrew R. Teel:
Concurrent learning in high-order tuners for parameter identification. - Omisore Mumini Olatunji, Ifeanyi Odenigbo, Joseph Orji, Amelia Beltran, Rita Orji, Nilufar Baghaei, Sandra Meier:
Extended Reality for Anxiety and Depression Therapy amidst Mental Disorders - A Systematic Review. - Xuri Ge, Joemon M. Jose, Songpei Xu, Xiao Liu, Hu Han:
MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Units Detection. - M. Luqman Jamil, Sebastião Pais, João Cordeiro:
Detection of Dangerous Events on Social Media: A Perspective Review. - Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. - Steffen Jung, Margret Keuper:
Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks. - Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber:
Training Fully Connected Neural Networks is ∃R-Complete. - Anton Tsitsulin, Benedek Rozemberczki, John Palowitch, Bryan Perozzi:
Synthetic Graph Generation to Benchmark Graph Learning. - Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal:
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS. - Muhammed O. Sayin:
On the Global Convergence of Stochastic Fictitious Play in Stochastic Games with Turn-based Controllers. - James O'Neill, Sourav Dutta, Haytham Assem:
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. - Yusuke Takimoto, Hiroyuki Sato, Hikari Takehara, Keishiro Uragaki, Takehiro Tawara, Xiao Liang, Kentaro Oku, Wataru Kishimoto, Bo Zheng:
Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization. - Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang:
Automated Machine Learning for Deep Recommender Systems: A Survey. - Libor Polcák, Marek Salon, Giorgio Maone, Radek Hranický, Michael McMahon:
JShelter: Give Me My Browser Back. - Giuseppe Calise, Aniello Murano, Silvia Stranieri:
The Parking Problem: A Game-Theoretic Solution. - Marcely Zanon Boito, Laurent Besacier, Natalia A. Tomashenko, Yannick Estève:
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems. - Andrea Agostinelli, Michal Pándy, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari:
How stable are Transferability Metrics evaluations? - Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
Re-examining Distillation For Continual Object Detection. - S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. - Nick Gravin, Enze Sun, Zhihao Gavin Tang:
The Cardinal Complexity of Comparison-based Online Algorithms. - Bo Peng, Zhihao Gavin Tang:
Order Selection Prophet Inequality: From Threshold Optimization to Arrival Time Design. - Xihao Chen, Zhiwei Xiong, Zhen Cheng, Jiayong Peng, Yueyi Zhang, Zheng-Jun Zha:
Degradation-agnostic Correspondence from Resolution-asymmetric Stereo. - Itay Shrem, Ben Grinboim, Ofer Amrani:
Dynamic Network-Code Design for Satellite Networks. - Thomas Chaffey, Alberto Padoan:
Circuit Model Reduction with Scaled Relative Graphs. - Yuri Ashrafyan, Tigran Bakaryan, Diogo Gomes, Julian Gutierrez:
The Potential Method For Price-Formation Models. - Jonathan Jakob, André Artelt, Martina Hasenjäger, Barbara Hammer:
SAM-kNN Regressor for Online Learning in Water Distribution Networks. - Sreejan Kumar, Ishita Dasgupta, Raja Marjieh, Nathaniel D. Daw, Jonathan D. Cohen, Thomas L. Griffiths:
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. - Larissa Chazette, Jil Klünder, Merve Balci, Kurt Schneider:
How Can We Develop Explainable Systems? Insights from a Literature Review and an Interview Study. - Jona Cappelle, Geoffrey Ottoy, Sarah Goossens, Hanne Deprez, Jarne Van Mulders, Guus Leenders, Gilles Callebaut:
IoT with a Soft Touch: A Modular Remote Sensing Platform for STE(A)M Applications. - Serra Sinem Tekiroglu, Helena Bonaldi, Margherita Fanton, Marco Guerini:
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study. - Mansoor Davoodi, Abhishek Senapati, Adam Mertel, Weronika Schlechte-Welnicz, Justin M. Calabrese:
Optimal Workplace Occupancy Strategies during the COVID-19 Pandemic. - Suhyeon Lee, Hongje Seong, Seongwon Lee, Euntai Kim:
WildNet: Learning Domain Generalized Semantic Segmentation from the Wild. - Omer Nguena Timo:
Mining Precise Test Oracle Modelled by FSM. - Ziyue Wu, Junyu Gao, Shucheng Huang, Changsheng Xu:
Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding. - Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw:
Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction. - Cédric Renggli, Xiaozhe Yao, Luka Kolar, Luka Rimanic, Ana Klimovic, Ce Zhang:
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. - Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kim:
Correlation Verification for Image Retrieval. - Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. - Claas Voelcker, Victor Liao, Animesh Garg, Amir-massoud Farahmand:
Value Gradient weighted Model-Based Reinforcement Learning. - Mario Krenn, Robert Pollice, Si Yue Guo, Matteo Aldeghi, Alba Cervera-Lierta, Pascal Friederich, Gabriel dos Passos Gomes, Florian Häse, Adrian Jinich, AkshatKumar Nigam, Zhenpeng Yao, Alán Aspuru-Guzik:
On scientific understanding with artificial intelligence. - Afonso Henriques Fontes Neto Segundo, Joel Sotero da Cunha Neto, Maria Daniela Santabaia Cavalcanti, Paulo Cirillo Souza Barbosa, Raul Fontenele Santana:
Criação e aplicação de ferramenta para auxiliar no ensino de algoritmos e programação de computadores. - Aryaman Arora, Clara Meister, Ryan Cotterell:
Estimating the Entropy of Linguistic Distributions. - Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Event Log Sampling for Predictive Monitoring. - Thiago B. Burghi, Timothy O'Leary, Rodolphe Sepulchre:
Distributed online estimation of biophysical neural networks. - Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang:
Unsupervised Learning of Accurate Siamese Tracking. - Md Umar Hashmi, Mohammed Meraj Alam, Ony Lalaina Valerie Ramarozatovo, Mohammad Shadab Alam:
WEcharge: democratizing EV charging infrastructure. - Carlos Bermejo Fernandez, Pan Hui:
Life, the Metaverse and Everything: An Overview of Privacy, Ethics, and Governance in Metaverse. - Daniel Hopp, Emily Fu, Anu Peltola:
Feasibility of nowcasting SDG indicators: a comprehensive survey. - Luis A. Barboza, Shu-Wei Chou, Paola Vásquez, Yury E. García, Juan G. Calvo, Hugo C. Hidalgo, Fabio Sanchez:
Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques. - Caleb Kruse, Edward Boyda, Sully Chen, Krishna Karra, Tristan Bou-Nahra, Dan Hammer, Jennifer Mathis, Taylor Maddalene, Jenna Jambeck, Fabien Laurier:
Satellite Monitoring of Terrestrial Plastic Waste. - Xiao-Mei Yang, Zhi-Liang Deng, Ailin Qian:
Bayesian approach for limited-aperture inverse acoustic scattering with total variation prior. - Yash Gupta, Jayanth Kumar, Andrew Reifers:
Identifying Security Risks in NFT Platforms. - Claudio S. Pinhanez, German H. Flores, Marisa A. Vasconcelos, Mu Qiao, Nick Linck, Rogério de Paula, Yuya Jeremy Ong:
Towards a New Science of Disinformation. - Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl:
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars. - Dazhong Rong, Shuai Ye, Ruoyan Zhao, Hon Ning Yuen, Jianhai Chen, Qinming He:
FedRecAttack: Model Poisoning Attack to Federated Recommendation. - Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova:
Which Tricks are Important for Learning to Rank? - Felix Staudigl, Karl J. X. Sturm, Maximilian Bartel, Thorben Fetz, Dominik Sisejkovic, Jan Moritz Joseph, Letícia Maria Bolzani Pöhls, Rainer Leupers:
X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory Computation. - Travis J. Black, Alexei F. Cheviakov:
A Method for Random Packing of Spheres with Application to Bonding Modeling in Powder Bed 3D Printing Process. - Ming Liu, Jianan Pan, Zifei Yan, Wangmeng Zuo, Lei Zhang:
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective. - Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A deeper look into group loss for deep metric learning. - Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui:
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments. - Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang:
Context-aware Visual Tracking with Joint Meta-updating. - Mounir Elgharabawy, Blas Kojusner, Mohammad Mannan, Kevin R. B. Butler, Byron Williams, Amr M. Youssef:
SAUSAGE: Security Analysis of Unix domain Socket Usage in Android. - Richard Fulton, Diane Fulton, Susan Kaplan:
Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption. - Kun He, Chunyang Wang, Yitong Yin:
Sampling Lovász Local Lemma For General Constraint Satisfaction Solutions In Near-Linear Time. - Ihtisham Ali, Sari Peltonen, Atanas P. Gotchev:
Bi-directional Loop Closure for Visual SLAM. - Jafar Jafarov:
Matrix Completion with Sparse Noisy Rows. - Daniel De Pascale, Giuseppe Cascavilla, Mirella Sangiovanni, Damian A. Tamburri, Willem-Jan van den Heuvel:
Internet-of-Things Architectures for Secure Cyber-Physical Spaces: the VISOR Experience Report. - Jafar Jafarov:
Survey of Matrix Completion Algorithms. - Daniel De Pascale, Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan van den Heuvel:
Real-world K-Anonymity Applications: the \textsc{KGen} approach and its evaluation in Fraudulent Transactions. - Lars Vilhuber, Hyuk Harry Son, Meredith Welch, David N. Wasser, Michael Darisse:
Teaching for large-scale Reproducibility Verification. - Minh N. H. Nguyen, Huy Q. Le, Shashi Raj Pandey, Choong Seon Hong:
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning. - M. Z. Naser:
Causality, Causal Discovery, and Causal Inference in Structural Engineering. - Jagadish Boodala, Onkar Dikshit, Nagarajan Balasubramanian:
Automated generalisation of buildings using CartAGen platform. - Ferdinand Grimm, Pouya Kolahian, John Wood, Richard Bucknall, Mehdi Baghdadi:
An Isolated Gate Driver for Multi-Active Bridges with Soft Switching. - Mohammadreza Doostmohammadian, Themistoklis Charalambous:
Distributed Anomaly Detection and Estimation over Sensor Networks: Observational-Equivalence and Q-Redundant Observer Design. - Stefano De Marchi, Giacomo Elefante, Elisa Francomano, Francesco Marchetti:
Polynomial mapped bases: theory and applications. - Manuel Pérez-Carrasco, Pavlos Protopapas, Guillermo Cabrera-Vives:
Con2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations. - Jianfei Yang, Han Zou, Lihua Xie:
RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition. - Shakeel Ahmad Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection. - Xiaoyu Bie, Wen Guo, Simon Leglaive, Laurent Girin, Francesc Moreno-Noguer, Xavier Alameda-Pineda:
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE. - Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DAD: Data-free Adversarial Defense at Test Time. - Stephen James, Pieter Abbeel:
Coarse-to-Fine Q-attention with Learned Path Ranking. - Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay:
Langevin Diffusion: An Almost Universal Algorithm for Private Euclidean (Convex) Optimization. - Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image. - Sohyun Lee, Taeyoung Son, Suha Kwak:
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. - Costanza Alfieri, Paola Inverardi, Patrizio Migliarini, Massimiliano Palmiero:
Exosoul: ethical profiling in the digital world. - Se-Hang Cheong, Yain-Whar Si:
CWBound: boundary node detection algorithm for complex non-convex mobile ad hoc networks. - Yue-Hui Lai, Se-Hang Cheong, Hui Zhang, Yain-Whar Si:
Coverage hole detection in WSN with force-directed algorithm and transfer learning. - Babatunji Omoniwa, Boris Galkin, Ivana Dusparic:
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning. - Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi:
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation. - Xicheng Wan, Yifeng Zheng, Qun Li, Anmin Fu, Mang Su, Yansong Gao:
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization. - Federica Adobbati, Luca Bernardinello, Lucia Pomello:
Looking for winning strategies in two-player games on Petri nets with partial observability. - Zhe Sage Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang:
Modern Views of Machine Learning for Precision Psychiatry. - Yue Zhu, Yunjie Gu, Yitong Li, Timothy C. Green:
Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity. - Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine With Human-Like Memory Systems. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. - Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer:
SPECTRE : Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators. - Hongyin Zhu:
MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing. - Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane:
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. - Nicholas Bonaker, Emli-Mari Nel, Keith Vertanen, Tamara Broderick:
A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users. - Benjamin Maschler, Tim Knodel, Michael Weyrich:
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection. - Ilia Ilmer, Alexey Ovchinnikov, Gleb Pogudin, Pedro Soto:
More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability. - Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham, Michael Weyrich:
Stuttgart Open Relay Degradation Dataset (SOReDD). - Ruisheng Qi, Meng Cai, Xiaojie Wang:
Strong convergence rates of a fully discrete scheme for the Cahn-Hilliard-Cook equation. - Sakib Haque, Zachary Eberhart, Aakash Bansal, Collin McMillan:
Semantic Similarity Metrics for Evaluating Source Code Summarization. - Dhanya Sridhar, Caterina De Bacco, David M. Blei:
Estimating Social Influence from Observational Data. - Julien Audibert, Pietro Michiardi, Frédéric Guyard, Sébastien Marti, Maria A. Zuluaga:
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection? - Allen B. Riddell:
Reliable Editions from Unreliable Components: Estimating Ebooks from Print Editions Using Profile Hidden Markov Models. - Diganta Misra, Bharat Runwal, Tianlong Chen, Zhangyang Wang, Irina Rish:
APP: Anytime Progressive Pruning. - Xiaotie Deng, Hanyu Li, Ningyuan Li:
Characterizing Parametric and Convergence Stability in Nonconvex and Nonsmooth Optimizations: A Geometric Approach. - Vivak Patel, Mohammad Jahangoshahi, Daniel Adrian Maldonado:
Randomized Block Adaptive Linear System Solvers. - Li Ding, Lee Spector:
Evolving Neural Selection with Adaptive Regularization. - Luis Guarda, Juan E. Tapia, Enrique López Droguett, Marcelo Ramos:
A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals. - Wojciech Macyna, Michal Kukowski:
Adaptive Merging on Phase Change Memory. - Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang:
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. - Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao:
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. - Jianrong Wang, Zixuan Wang, Xiaosheng Hu, Xuewei Li, Qiang Fang, Li Liu:
Residual-guided Personalized Speech Synthesis based on Face Image. - Doron Pinsky, Petr Vána, Jan Faigl, Oren Salzman:
T*ε - Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems. - Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang:
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices. - Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir:
MultiMAE: Multi-modal Multi-task Masked Autoencoders. - Zhuanhao Wu, Hiren D. Patel:
Predictable Sharing of Last-level Cache Partitions for Multi-core Safety-critical Systems. - Feng Cheng, Gedas Bertasius:
TALLFormer: Temporal Action Localization with Long-memory Transformer. - Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data.