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ORCIDCoRR, December 2021
- Gautham Venkatasubramanian:
cliquematch: Finding correspondence via cliques in large graphs.
- Seyed Mousavi:
Towards algorithm-free physical equilibrium model of computing. - Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chan Young Kim, Jinkyu Kim, Sangpil Kim:
Sound-Guided Semantic Image Manipulation. - Varun Chitturi, Zaid Nabulsi:
Predicting Poverty Level from Satellite Imagery using Deep Neural Networks. - Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. - Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and Provably Monotonic Networks. - Jordan S. K. Hu, Steven L. Waslander:
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection. - Mostafa Haghi Kashani:
Task Assignment in Distributed Systems based on PSO Approach. - Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. - Seyyed Ali Hashemi, Marco Mondelli, John M. Cioffi, Andrea Goldsmith:
Successive Syndrome-Check Decoding of Polar Codes. - Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. - Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. - Ahmad Biniaz:
Acute Tours in the Plane. - Louise Bloch, Raphael Brüngel, Christoph M. Friedrich:
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. - Garvit Dewan, Louis Jenkins:
Scaling Shared-Memory Data Structures as Distributed Global-View Data Structures in the Partitioned Global Address Space model. - Samuel Carton, Surya Kanoria, Chenhao Tan:
What to Learn, and How: Toward Effective Learning from Rationales. - Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs. - Garrett Allen, Jie Yang, Maria Soledad Pera, Ujwal Gadiraju:
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom. - Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf:
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. - Liang S. Lai, Choi-Hong Lai, Abal-Kassim Cheik Ahamed, Frédéric Magoulès:
Coupling and Simulation of Fluid-Structure Interaction Problems for Automotive Sun-roof on Graphics Processing Unit. - Jay Gopalakrishnan, Lukas Kogler, Philip L. Lederer, Joachim Schöberl:
Minimal order H(div)-conforming velocity-vorticity approximations for incompressible fluids. - Steve Mann, Cayden Pierce, Christopher Tong, Christina Mann:
"Vironment": An Art of Wearable Social Distancing. - Chris McDonagh, Xi Chen:
Leveraging Intrinsic Gradient Information for Machine Learning Model Training. - Jonathan W. Berry, Cynthia A. Phillips, Alexandra M. Porter:
Connected Components for Infinite Graph Streams: Theory and Practice. - Savannah Norem, Ashley E. Rice, Samantha Erwin, Robert A. Bridges, Sean Oesch, Brian Weber:
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data. - Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen:
Fast Topological Clustering with Wasserstein Distance. - Christine Geeng, Alexis Hiniker:
LGBTQ Privacy Concerns on Social Media. - Shubhaankar Gupta, Thomas P. O'Connell, Bernhard Egger:
Beyond Flatland: Pre-training with a Strong 3D Inductive Bias. - Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena:
Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. - Natarajan Arul Murugan, Artur Podobas, Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Stefano Markidis:
A Review on Parallel Virtual Screening Softwares for High Performance Computers. - Gian Singh, Ankit Wagle, Sarma B. K. Vrudhula, Sunil P. Khatri:
CIDAN: Computing in DRAM with Artificial Neurons. - Shamiul Alam, Md. Mazharul Islam, Md. Shafayat Hossain, Akhilesh Jaiswal, Ahmedullah Aziz:
CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect. - Petr Plechác, Gabriel Stoltz, Ting Wang:
Martingale product estimators for sensitivity analysis in computational statistical physics. - Mrinmoy Roy, Venkata Devesh Reddy Seethi, Pratool Bharti:
CovidAlert - A Wristwatch-based System to Alert Users from Face Touching. - Yuxin Chen, Benjamin Brock, Serban D. Porumbescu, Aydin Buluç, Katherine A. Yelick, John D. Owens:
Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations. - Yichi Zhang, Zhiru Zhang, Lukasz Lew:
PokeBNN: A Binary Pursuit of Lightweight Accuracy. - Yixuan Liu, Chrysafis Vogiatzis, Ruriko Yoshida, Erich Morman:
Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning. - Corne Lukken, Giulia Frascaria, Animesh Trivedi:
ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs. - Farimasadat Miri, Richard W. Pazzi:
A Comprehensive Survey on the Convergence of Vehicular Social Networks and Fog Computing. - Ali Esmaeily, Katina Kralevska, Toktam Mahmoodi:
Slicing Scheduling for Supporting Critical Traffic in Beyond 5G. - Philipp Kopp, Victor M. Calo, Ernst Rank, Stefan Kollmannsberger:
Space-time hp finite elements for heat evolution in laser-based additive manufacturing. - Michael Färber, Anna Steyer:
Towards Full-Fledged Argument Search: A Framework for Extracting and Clustering Arguments from Unstructured Text. - Enrica Rossi, Marco Tognon, Luca Ballotta, Ruggero Carli, Juan Cortés, Antonio Franchi, Luca Schenato:
Coordinated Multi-Robot Trajectory Tracking over Sampled Communication. - Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh K. Iyer:
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information. - Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring. - Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li:
3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. - Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis:
SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. - Ruisi Zhang, Youwei Liang, Sai Ashish Somayajula, Pengtao Xie:
Improving Differentiable Architecture Search with a Generative Model. - Julius Kunze, James Townsend, David Barber:
Adaptive Optimization with Examplewise Gradients. - Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu:
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Editing. - Qiushi Bai, Sadeem Alsudais, Chen Li, Shuang Zhao:
Maliva: Using Machine Learning to Rewrite Visualization Queries Under Time Constraints. - Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb:
Light Field Implicit Representation for Flexible Resolution Reconstruction. - Weiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva, Andrew Irlitti, Jarrod Knibbe, Tilman Dingler, Jorge Gonçalves, Vassilis Kostakos:
InfoPrint: Embedding Information into 3D Printed Objects. - Zoe Moorton, Zeyneb Kurt, Wai Lok Woo:
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife? - Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith M. Suriyakumar, Om Thakkar, Abhradeep Thakurta:
Public Data-Assisted Mirror Descent for Private Model Training. - Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy:
Efficient Online Bayesian Inference for Neural Bandits. - Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis:
Efficient Big Text Data Clustering Algorithms using Hadoop and Spark. - Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer:
3DVNet: Multi-View Depth Prediction and Volumetric Refinement. - Edward Kim, Jay Shenoy, Sebastian Junges, Daniel J. Fremont, Alberto L. Sangiovanni-Vincentelli, Sanjit Seshia:
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation. - Loc Hoang Tran, Tuan Tran, An Mai:
Improved sparse PCA method for face and image recognition. - Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi:
Environmental Sound Extraction Using Onomatopoeia. - Zhijian Yang, Xiaoran Fan, Volkan Isler, Hyun Soo Park:
PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound. - Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao:
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles. - Taotao Zhou, Xiaoge Zhang, Enrique López Droguett, Ali Mosleh:
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. - Mostafa Rezapour, Lucas Hansen:
A Machine Learning Analysis of COVID-19 Mental Health Data. - William F. Godoy, Andrei T. Savici, Steven E. Hahn, Peter F. Peterson:
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities. - Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen, Jörg Lässig:
Frequency Fitness Assignment: Optimization without a Bias for Good Solutions can be Efficient. - Kaihao Zhang, Wenhan Luo, Boheng Chen, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model. - Noah Stier, Alexander Rich, Pradeep Sen, Tobias Höllerer:
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion. - Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. - Shiwen Ni, Jiawen Li, Hung-Yu Kao:
True or False: Does the Deep Learning Model Learn to Detect Rumors? - Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. - Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. - Gouhei Tanaka, Ryosho Nakane:
Simulation platform for pattern recognition based on reservoir computing with memristor networks. - Hongmin Gao, Zhonghao Chen, Chenming Li:
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. - Pan Li, Shaogang Gong, Yanwei Fu, Chengjie Wang:
Ranking Distance Calibration for Cross-Domain Few-Shot Learning. - Kathy Nguyen, Shantanu Pal, Zahra Jadidi, Ali Dorri, Raja Jurdak:
A Blockchain-Enabled Incentivised Framework for Cyber Threat Intelligence Sharing in ICS. - Liyuan Ma, Kejie Huang, Dongxu Wei, Haibin Shen:
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation. - Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Training BatchNorm Only in Neural Architecture Search and Beyond. - Yi Huang, Zhiyu Chen, Dai Li, Kaiyuan Yang:
CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories. - Yiguang Zhang, Augustin Chaintreau:
Unequal Opportunities in Multi-hop Referral Programs. - Vamsi K. Amalladinne, Jamison R. Ebert, Jean-François Chamberland, Krishna R. Narayanan:
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access. - Sourabha Bharadwaj, Karunakar Gonabattula, Sudipta Saha, Chayan Sarkar, Rekha Raja:
Concurrent Transmission for Multi-Robot Coordination. - Jay Gala, Pengtao Xie:
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search. - Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. - Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis:
A Barrier Pair Method for Safe Human-Robot Shared Autonomy. - Liyuan Ma, Kejie Huang, Dongxu Wei, Zhaoyan Ming, Haibin Shen:
FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer. - Anmol Nayak, Hariprasad Timmapathini:
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition. - Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu:
Interactive Model with Structural Loss for Language-based Abductive Reasoning. - Masato Takeichi:
Conflict-free Collaborative Set Sharing for Distributed Systems. - Masato Takeichi:
Operation-based Collaborative Data Sharing for Distributed Systems. - Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. - Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan, Yoonju Jung:
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics. - Abhisesh Silwal, Francisco Yandún, Anjana K. Nellithimaru, Terry Bates, George Kantor:
Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning. - Fucheng Tian, Jun Zeng, Mengnan Zhang, Liangbin Li:
Mixed displacement-pressure-phase field framework for finite strain fracture of nearly incompressible hyperelastic materials. - Kai Zhang, Yifan Sun, Rui Wang, Haichang Li, Xiaohui Hu:
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation. - Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling. - Jiaqi Xu, Yuanwei Liu, Xidong Mu, Robert Schober, H. Vincent Poor:
STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies. - Swarup Dhar, Vanessa Massaro, Darakhshan Mir, Nathan C. Ryan:
Uncertainty in Criminal Justice Algorithms: simulation studies of the Pennsylvania Additive Classification Tool. - Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. - Mahmudul Hasan, Jonathan Cruz, Prabuddha Chakraborty, Swarup Bhunia, Tamzidul Hoque:
Software Variants for Hardware Trojan Detection and Resilience in COTS Processors. - Zhichun Huang, Rudrasis Chakraborty, Vikas Singh:
Forward Operator Estimation in Generative Models with Kernel Transfer Operators. - Mengchi Cai, Qing Xu, Chunying Yang, Jianghong Dong, Chaoyi Chen, Jiawei Wang, Jianqiang Wang, Keqiang Li:
Experimental Validation of Multi-lane Formation Control for Connected and Automated Vehicles in Multiple Scenarios. - Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao:
Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. - Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. - Siu-Wing Cheng:
Multistage Online Maxmin Allocation of Indivisible Entities. - Danila Rukhovich, Anna Vorontsova, Anton Konushin:
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection. - Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen:
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. - Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-memory Deep Learning with Emerging Memory Technology. - Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim, Seungwoo Jang, Kwangsu Kim:
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea. - Haochuan Song, Xiaohu You, Chuan Zhang, Christoph Studer:
Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding. - Ruiyang Liu, Predrag K. Nikolic:
Mutltimodal AI Companion for Interactive Fairytale Co-creation. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model. - Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. - Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei:
Multi-View Stereo with Transformer. - Jihyo Kim, Jiin Koo, Sangheum Hwang:
A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks. - Yichun Shen, Wanli Jiang, Zhen Xu, Rundong Li, Junghyun Kwon, Siyi Li:
Confidence Propagation Cluster: Unleash Full Potential of Object Detectors. - Seong Hyun Kim, Sunwon Jeong, Sungbum Park, Ju Yong Chang:
Camera Motion Agnostic 3D Human Pose Estimation. - Han Liu, Pedro Antonino, Zhiqiang Yang, Chao Liu, A. W. Roscoe:
Trusted And Confidential Program Analysis. - Anna Büttner, Hans Würfel, Anton Plietzsch, Michael Lindner, Frank Hellmann:
An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems. - Eimantas Ledinauskas, Julius Ruseckas, Julius Marozas, Kasparas Karlauskas, Justas Terentjevas, Augustas Macijauskas, Alfonsas Jursenas:
Automatic travel pattern extraction from visa page stamps using CNN models. - I-Fan Chen, Brian King, Jasha Droppo:
Investigation of Training Label Error Impact on RNN-T. - Jan Engelhardt, Jan Martin Zepter, Jesper Gejl Lage, Tatiana Gabderakhmanova, Mattia Marinelli:
Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging. - Masahiro Suzuki:
Score Transformer: Generating Musical Score from Note-level Representation. - Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu:
Tool as Embodiment for Recursive Manipulation. - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma:
Dimensionality Reduction for Categorical Data. - Daniel Lundén, Joey Öhman, Jan Kudlicka, Viktor Senderov, Fredrik Ronquist, David Broman:
Universal Probabilistic Programming Language Compilation with Parallel Efficient Sequential Monte Carlo Inference. - Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. - Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training.