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ORCIDCoRR, June 2022
- Tyler A. Perini, Amy Nicole Langville, Glenn Kramer, Jeff Shrager, Mark Shapiro:
Weight Set Decomposition for Weighted Rank Aggregation: An interpretable and visual decision support tool. - Ismail B. Mustapha
, Zainab Abdulkareem, Muyideen Abdulkareem, Abideen Ganiyu:
Predictive Modeling of Physical and Mechanical Properties of Pervious Concrete using XGBoost. - Andrei T. Patrascu:
Are classical neural networks quantum? - Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong:
COIN: Co-Cluster Infomax for Bipartite Graphs. - Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng:
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. - Maxime Haddouche, Benjamin Guedj:
Online PAC-Bayes Learning. - James P. Bagrow, Yong-Yeol Ahn:
Network Cards: concise, readable summaries of network data. - Sayash Kapoor, Matthew Sun, Mona Wang, Klaudia Jazwinska, Elizabeth Anne Watkins:
Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry. - William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang:
Evolving Domain Generalization. - James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Ioannis Patras:
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. - Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. - Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim:
Learning Instance-Specific Data Augmentations. - Akshita Jha, Chandan K. Reddy:
CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models. - Xing Wang, Yijun Wang:
Asynchronous Hierarchical Federated Learning. - Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng:
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. - Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier:
A Mixture-of-Expert Approach to RL-based Dialogue Management. - Ali Mokhtari, Pooyan Jamshidi, Mohsen Amini Salehi:
FELARE: Fair Scheduling of Machine Learning Applications on Heterogeneous Edge Systems. - Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul:
Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak:
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. - Parisa Hassanzadeh, Robert E. Tillman:
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks. - Maliheh Izadi, Mahtab Nejati, Abbas Heydarnoori:
Semantically-enhanced Topic Recommendation System for Software Projects. - Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. - Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso:
Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming. - Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. - Debopriya Roy Dipta, Berk Gülmezoglu:
MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption. - Xinyan Li, Han Wang, Chunyang Chen, John C. Grundy:
An Empirical Study on How Well Do COVID-19 Information Dashboards Service Users' Information Needs. - Francesco Longo, Letizia Nicoletti, Antonio Padovano:
Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context. - Miguel González Duque, Rasmus Berg Palm, Søren Hauberg, Sebastian Risi:
Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry. - William F. Godoy, Jenna Delozier, Gregory R. Watson:
Modeling pre-Exascale AMR Parallel I/O Workloads via Proxy Applications. - Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley:
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints? - Daniel Hernandez, Hendrik Baier, Michael Kaisers:
BRExIt: On Opponent Modelling in Expert Iteration. - Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of Relevant Information for Graph Sparsification. - Clémence Réda, Sattar Vakili, Emilie Kaufmann:
Near-Optimal Collaborative Learning in Bandits. - Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. - Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. - Jaein Lim, Panagiotis Tsiotras:
CBS-Budget (CBSB): A Complete and Bounded Suboptimal Search for Multi-Agent Path Finding. - Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin:
Pre-training via Denoising for Molecular Property Prediction. - Nicholas Pippenger:
A Formula for the Determinant. - Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos:
End-to-end Optimization of Machine Learning Prediction Queries. - Yiqiao Liao, Parinaz Naghizadeh:
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria. - Heba Aamer, Marco Montali, Jan Van den Bussche:
What Can Database Query Processing Do for Instance-Spanning Constraints? - Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov:
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents. - Shang Wang, Yansong Gao, Anmin Fu, Zhi Zhang, Yuqing Zhang, Willy Susilo:
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences. - Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu:
Unbiased Implicit Feedback via Bi-level Optimization. - Paul Yudkin, Eli Friedman, Orly Zvitia, Gil Elbaz:
Hands-Up: Leveraging Synthetic Data for Hands-On-Wheel Detection. - Hao Wang:
DotMat: Solving Cold-start Problem and Alleviating Sparsity Problem for Recommender Systems. - Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou:
Human-AI Shared Control via Frequency-based Policy Dissection. - Qiwen Cui, Simon S. Du:
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus. - Le Xie, Tong Huang, P. R. Kumar, Anupam A. Thatte, Sanjoy K. Mitter:
On a Control Architecture for Future Electric Energy Systems. - Zohreh Azizi, C.-C. Jay Kuo:
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation. - Nick Alonso, Beren Millidge, Jeff Krichmar, Emre Neftci:
A Theoretical Framework for Inference Learning. - Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu:
Byzantine-Robust Online and Offline Distributed Reinforcement Learning. - Alexandros Papangelis, Nicole Chartier, Pankaj Rajan, Julia Hirschberg, Dilek Hakkani-Tur:
Understanding How People Rate Their Conversations. - Giannis Daras, Alexandros G. Dimakis:
Discovering the Hidden Vocabulary of DALLE-2. - Leyla Khaleghi, Joshua A. Marshall, Ali Etemad:
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. - Clara Lacroce, Prakash Panangaden, Guillaume Rabusseau:
Towards an AAK Theory Approach to Approximate Minimization in the Multi-Letter Case. - Dimitris Bertsimas, Wes Gurnee:
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization. - Xinqi Wang, Qiwen Cui, Simon S. Du:
On Gap-dependent Bounds for Offline Reinforcement Learning. - Fei Pan, François Rameau, Junsik Kim, In So Kweon:
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection. - Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
Differentiable Soft-Masked Attention. - Dongqi Wu, Xiangtian Zheng, Ali Menati, Lane D. Smith, Bainan Xia, Yixing Xu, Chanan Singh, Le Xie:
How Much Demand Flexibility Could Have Spared Texas from the 2021 Outage? - Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao:
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. - Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou:
Benchmark of DNN Model Search at Deployment Time. - Kaiji Lu, Anupam Datta:
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models. - Shuhao Zeng, Hongliang Zhang, Boya Di, Yuanwei Liu, Marco Di Renzo, Zhu Han, H. Vincent Poor, Lingyang Song:
Intelligent Omni-Surfaces: Reflection-Refraction Circuit Model, Full-Dimensional Beamforming, and System Implementation. - Sanghun Jung, Jungsoo Lee, Nanhee Kim, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. - Tan M. Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley J. Osher, Nhat Ho:
Transformer with Fourier Integral Attentions. - Kun Song, Heyang Xue, Xinsheng Wang, Jian Cong, Yongmao Zhang, Lei Xie, Bing Yang, Xiong Zhang, Dan Su:
AdaVITS: Tiny VITS for Low Computing Resource Speaker Adaptation. - Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. - Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. - Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. - Hao Wu, Yifan Miao, Peng Zhang, Yang Tian, Hui Tian:
Resilience in Industrial Internet of Things Systems: A Communication Perspective. - Qige Song, Yongzheng Zhang, Binglai Wang, Yige Chen:
Inter-BIN: Interaction-based Cross-architecture IoT Binary Similarity Comparison. - Xinyi Chen, Elad Hazan, Tongyang Li, Zhou Lu, Xinzhao Wang, Rui Yang:
Adaptive Online Learning of Quantum States. - Yuchen Zhang, Bo Chen, Li Yu, Daniel W. C. Ho:
Distributed Estimation for Interconnected Systems with Arbitrary Coupling Structures. - Jinhong Deng, Xiaoyue Zhang, Wen Li, Lixin Duan:
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment. - Mamdouh Alenezi, Mohammad Zarour, Mohammad Akour:
Can Artificial Intelligence Transform DevOps? - Junbo Zhang, Kaisheng Ma:
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. - Hao Chen, Yu Guang Wang, Huan Xiong:
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks. - Wisdom C. Agboh, Jeffrey Ichnowski, Ken Goldberg, Mehmet Remzi Dogar:
Multi-Object Grasping in the Plane. - Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone:
DM2: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. - Emmy Liu, Michael Henry Tessler, Nicole Dubosh, Katherine Mosher Hiller, Roger Levy:
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback. - Sebastián Elías Graiff Zurita, Kenji Kajiwara, Kenjiro T. Miura:
Fairing of planar curves to log-aesthetic curves. - Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey:
Continuous Prediction with Experts' Advice. - Fan-Ming Luo, Xingchen Cao, Yang Yu:
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble. - Tian Dong, Bo Zhao, Lingjuan Lyu:
Privacy for Free: How does Dataset Condensation Help Privacy? - Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. - Jiuk Hong, Chaehyeon Lee, Soyoun Bang, Heechul Jung:
Fair Comparison between Efficient Attentions. - Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri:
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks. - Swen Jacobs, Guillermo A. Pérez, Remco Abraham, Véronique Bruyère, Michaël Cadilhac, Maximilien Colange, Charly Delfosse, Tom van Dijk, Alexandre Duret-Lutz, Peter Faymonville, Bernd Finkbeiner, Ayrat Khalimov, Felix Klein, Michael Luttenberger, Klara J. Meyer, Thibaud Michaud, Adrien Pommellet, Florian Renkin, Philipp Schlehuber-Caissier, Mouhammad Sakr, Salomon Sickert, Gaëtan Staquet, Clément Tamines, Leander Tentrup, Adam Walker:
The Reactive Synthesis Competition (SYNTCOMP): 2018-2021. - Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Ning Luo, Linlin Zhang:
Intelligent UNIT LEVEL TEST Generator for Enhanced Software Quality. - Sergey Zinchenko, Dmitry Lishudi:
Star algorithm for NN ensembling. - Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. - Swapneel C. Mhatre, Priya Chandran:
On the Simulation of Hypervisor Instructions for Accurate Timing Simulation of Virtualized Systems. - Omer Antverg, Eyal Ben-David, Yonatan Belinkov:
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions. - Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi:
Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees. - Xinxing Yang, Genke Yang, Jian Chu:
Self-supervised Learning for Label Sparsity in Computational Drug Repositioning. - Ataberk Olgun, Juan Gómez-Luna, Konstantinos Kanellopoulos, Behzad Salami, Hasan Hassan, Oguz Ergin, Onur Mutlu:
PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques. - Kunze Wang, Soyeon Caren Han, Josiah Poon:
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification. - Dong-Uk Seo, Hyungtae Lim, Seungjae Lee, Hyun Myung:
PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry. - Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. - Mohsen Jadidi, Haiko Lietz, Mattia Samory, Claudia Wagner:
The Hipster Paradox in Electronic Dance Music: How Musicians Trade Mainstream Success off against Alternative Status. - Sanae Amani, Lin F. Yang, Ching-An Cheng:
Provably Efficient Lifelong Reinforcement Learning with Linear Function Approximation. - Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. - Emilio Ancillotti, Carlo Vallati, Raffaele Bruno, Enzo Mingozzi:
A reinforcement learning-based link quality estimation strategy for RPL and its impact on topology management. - Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li:
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations. - Wallace Moreira Bessa, Max Suell Dutra, Edwin Kreuzer:
An adaptive fuzzy dead-zone compensation scheme for nonlinear systems. - Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
Task-Specific Expert Pruning for Sparse Mixture-of-Experts. - Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. - Depeng Liu, Lutan Zhao, Pengfei Yang, Bow-Yaw Wang, Rui Hou, Lijun Zhang, Naijun Zhan:
Defensive Design of Saturating Counters Based on Differential Privacy. - Manuela Geiß, Raphael Wagner, Martin Baresch, Josef Steiner, Michael Zwick:
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing. - Cyril Vallez, Andrei Kucharavy, Ljiljana Dolamic:
Needle In A Haystack, Fast: Benchmarking Image Perceptual Similarity Metrics At Scale. - Qinqin Ji, Dabin Zheng, Hao Chen, Xiaoqiang Wang:
Strict Half-Singleton Bound, Strict Direct Upper Bound for Linear Insertion-Deletion Codes and Optimal Codes. - Jan Tobias Mühlberg:
Sustaining Security and Safety in ICT: A Quest for Terminology, Objectives, and Limits. - Yutong Wang, Renze Lou, Kai Zhang, Mao Yan Chen, Yujiu Yang:
MORE: A Metric Learning Based Framework for Open-domain Relation Extraction. - Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas:
Discrete Gradient Flow Approximations of High Dimensional Evolution Partial Differential Equations via Deep Neural Networks. - Bahri Batuhan Bilecen, Alparslan Fisne, Mustafa Ayazoglu:
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices. - Suzanne Oude Hengel, Loe M. G. Feijs:
Exploration of Knitted Spacer Fabrics using Grasshopper. - Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. - Duncan Bailey:
Predecessor Features. - Jose Enrique Domínguez-Vidal, Nicolás Rodríguez, René Alquezar, Alberto Sanfeliu:
Perception-Intention-Action Cycle in Human-Robot Collaborative Tasks. - Bho Matthiesen, Nasrin Razmi, Israel Leyva-Mayorga, Armin Dekorsy, Petar Popovski:
Federated Learning in Satellite Constellations. - Lan Su, Yong Niu, Zhu Han, Bo Ai, Ruisi He, Yibing Wang, Ning Wang, Xiang Su:
Content Distribution based on Joint V2I and V2V Scheduling in mmWave Vehicular Networks.