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ORCIDCoRR, December 2022
- Alexandra Kitson:
Investigating the Feasibility of Virtual Reality for Emotion Regulation with Youth.
- Xinquan Wen, Yiying Wu:
Slowing Plants, Slowing Home. - Savera Sarwar, Muhammad Turab, Danish Channa, Aisha Chandio, M. Uzair Sohu, Vikram Kumar:
Advanced Audio Aid for Blind People. - Vikas Raunak, Matt Post, Arul Menezes:
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models. - Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li:
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing. - Alan Wang, Feng Yi Chang, Siavash Yousefi, Beatrice Li, Brad Campbell, Arsalan Heydarian:
The Hitchiker's Guide to Successful Living Lab Operations. - Marco Pegoraro
, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst:
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. - Maria S. Filipkovska:
Combined numerical methods for solving time-varying semilinear differential-algebraic equations with the use of spectral projectors and recalculation. - Vivien van Veldhuizen:
Autotuning PID control using Actor-Critic Deep Reinforcement Learning. - Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran:
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. - Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji:
Knowledge-augmented Deep Learning and Its Applications: A Survey. - Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii:
Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities. - Zhengyang Duan, Hang Chen, Xing Lin:
Optical multi-task learning using multi-wavelength diffractive deep neural networks. - Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu:
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. - Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter:
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics. - Minjia Shi, Yuhong Xia, Denis S. Krotov:
A family of diameter perfect constant-weight codes from Steiner systems. - Zhonglin Sun, Georgios Tzimiropoulos:
Part-based Face Recognition with Vision Transformers. - Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Sascha Kurz:
Capacity of generalized diamond networks. - Christeen T. Jose:
Auxiliary Learning as a step towards Artificial General Intelligence. - Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen:
Differentially Private Enhanced Permissioned Blockchain for Private Data Sharing in Industrial IoT. - Tushar Agarwal, Nithin Sugavanam, Emre Ertin:
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution. - Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath:
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints. - Miranda Christ, Mihalis Yannakakis:
The Smoothed Complexity of Policy Iteration for Markov Decision Processes. - Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra:
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. - Sai Pranav Koyyada, Denim Deshmukh Deepika Badampudi, Vida Ahmadi, Muhammad Usman:
Towards automated open source assessment - An empirical study. - Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni:
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. - Aaron Paul M. Dela Rosa, Luigi Miguel M. Villanueva, John Mardy R. San Miguel, John Emmanuel B. Quinto:
Web-based Database Courses E-Learning Application. - Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan:
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. - Dimitrios Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos Spandonidis, Alexandros K. Pantazis, Nikolaos S. Tachos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. - Zohreh Shaghaghian, Heather Burte, Dezhen Song, Wei Yan:
An Augmented Reality Application and User Study for Understanding and Learning Spatial Transformation Matrices. - Hugo Carrillo Lincopi, Alden Waters, Teke Xu:
Approximation of the non-linear water hammer problem by a Lax-Wendroff finite difference scheme. - Seth Karten, Mycal Tucker, Siva Kailas, Katia P. Sycara:
Towards True Lossless Sparse Communication in Multi-Agent Systems. - Jory Schossau, Bamshad Shirmohammadi, Arend Hintze:
Incentivising cooperation by rewarding the weakest member. - Karlis Freivalds, Sergejs Kozlovics:
Denoising Diffusion for Sampling SAT Solutions. - Yuxuan Chen, Timothy D. Barfoot:
Self-Supervised Feature Learning for Long-Term Metric Visual Localization. - Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. - Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen:
An Optimized Privacy-Utility Trade-off Framework for Differentially Private Data Sharing in Blockchain-based Internet of Things. - Deep Shankar Pandey, Qi Yu:
Evidential Conditional Neural Processes. - Jonathan Geuter, Vaios Laschos:
Generative Adversarial Learning of Sinkhorn Algorithm Initializations. - Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Answering Private Linear Queries Adaptively using the Common Mechanism. - Abrar Alali, Stephan Olariu, Shubham Jain:
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic. - Bryan Li:
Word Alignment in the Era of Deep Learning: A Tutorial. - Irish Mehta, Aashal Kamdar:
Movie Recommendation System using Composite Ranking. - Bhagyashri Telsang, Seddik M. Djouadi:
A Novel Framework for Decentralized Dynamic Resource Allocation Using Voronoi Tessellations. - Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. - Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch:
Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios. - Mustafa Can Gursoy, Urbashi Mitra:
Two-sided Delay Constrained Scheduling: Managing Fresh and Stale Data. - Parinaz Barakhshan, Rudolf Eigenmann:
A comparison between Automatically versus Manually Parallelized NAS Benchmarks. - David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan:
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. - Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-aware Dreamer for Embodied Referring Expression Grounding. - Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister:
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. - Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. - Alex Beaudin, Hsiu-Chin Lin:
Learning Agile Paths from Optimal Control. - Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni:
Multi-Task Imitation Learning for Linear Dynamical Systems. - Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski:
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. - Logan E. Beaver, Max Sokolich, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta:
Learning for Control of Rolling ubots. - Sayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak:
Sublinear Algorithms for (1.5+ε)-Approximate Matching. - Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Huaping Liu:
Mixed Neural Voxels for Fast Multi-view Video Synthesis. - Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu:
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. - Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. - Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. - Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Ran Liu, Keng Hua Chong, Chau Yuen:
Clustering and Analysis of GPS Trajectory Data using Distance-based Features. - Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell:
Shape-Guided Diffusion with Inside-Outside Attention. - Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. - Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. - Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou:
Experimental Observations of the Topology of Convolutional Neural Network Activations. - Wonjin Yoon, Richard Jackson, Elliot Ford, Vladimir Poroshin, Jaewoo Kang:
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework. - Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification. - Maojun Zhang, Yang Li, Zezhong Zhang, Guangxu Zhu, Caijun Zhong:
Wireless Image Transmission with Semantic and Security Awareness. - N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney:
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. - Xu Zhang, Marcos M. Vasconcelos:
Top-k data selection via distributed sample quantile inference. - Bin Sun, Shaoxiong Feng, Yiwei Li, Weichao Wang, Fei Mi, Yitong Li, Kan Li:
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder. - Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. - Ruibin Yuan, Hanzhi Yin, Yi Wang, Yifan He, Yushi Ye, Lei Zhang:
Noisy Label Detection for Speaker Recognition. - Xidong Peng, Xinge Zhu, Yuexin Ma:
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. - Ngoc Duy Pham, Tran Khoa Phan, Alsharif Abuadbba, Doan Nguyen, Naveen K. Chilamkurti:
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy. - Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Xinyi Gu, Mohammad Rowshan, Jinhong Yuan:
Selective Reverse PAC Coding for Sphere Decoding. - Zhaoying Pan, Jinge Ma:
Face Animation with Multiple Source Images. - Yu-Zhe Shi, Manjie Xu, Wenjuan Han, Yixin Zhu:
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts. - Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. - Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir:
Task Discovery: Finding the Tasks that Neural Networks Generalize on. - Yi-Si Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng:
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. - Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino, Sandesh Swamy, Saarthak Khanna, Weiqi Sun, Haidar Khan:
PIZZA: A new benchmark for complex end-to-end task-oriented parsing. - Shiting Xiao, Yufu Wang, Ammon Perkes, Bernd Pfrommer, Marc F. Schmidt, Kostas Daniilidis, Marc Badger:
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary. - Hassan Almubarak, Manan Gandhi, Yuichiro Aoyama, Nader Sadegh, Evangelos A. Theodorou:
Gaussian Process Barrier States for Safe Trajectory Optimization and Control. - Wenlong Wang, Thomas Pfeiffer:
Decision Market Based Learning For Multi-agent Contextual Bandit Problems. - Hongzhi Zhu, Robert Rohling, Septimiu Salcudean:
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure. - Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick:
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. - Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang:
GRiT: A Generative Region-to-text Transformer for Object Understanding. - Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? - Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski, Lana Sinapayen, Keisuke Suzuki:
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems. - Zhexi Fu, Joseph Y. J. Chow:
Dial-a-ride problem with modular platooning and en-route transfers. - Wentai Zhang, Joe Joseph, Yue Yin, Liuyue Xie, Tomotake Furuhata, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks. - Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin:
The Effect of Data Dimensionality on Neural Network Prunability. - Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira:
Rethinking Safe Control in the Presence of Self-Seeking Humans. - Nan Jiang, Yi Gu, Yexiang Xue:
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. - Swati Swati, Adrian Mladenic Grobelnik, Dunja Mladenic, Marko Grobelnik:
A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines. - Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu:
Learning to Select from Multiple Options. - Zhongxiao Jia, Qingqing Zheng:
An analysis of the Rayleigh-Ritz and refined Rayleigh-Ritz methods for nonlinear eigenvalue problems. - Tuan-Luc Huynh, Khoi-Nguyen Nguyen-Ngoc, Chi-Bien Chu, Minh-Triet Tran, Trung-Nghia Le:
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages. - Wentao Hu, Hui Fang:
Decentralized Matrix Factorization with Heterogeneous Differential Privacy. - Tian Li, Manzil Zaheer, Ken Ziyu Liu, Sashank J. Reddi, H. Brendan McMahan, Virginia Smith:
Differentially Private Adaptive Optimization with Delayed Preconditioners. - Chenwei Cui, Zehao Yan, Guangshen Liu, Liangfu Lu:
Generalizing and Improving Jacobian and Hessian Regularization. - Cheng Guo, Fei Hu, Yan Hu:
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer. - Jatinder Kumar, Ashutosh Kumar Singh:
Security and Privacy-Preservation of IoT Data in Cloud-Fog Computing Environment. - Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang:
Hijack Vertical Federated Learning Models with Adversarial Embedding. - Pengyu Qiu, Xuhong Zhang, Shouling Ji, Yuwen Pu, Ting Wang:
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning. - Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang:
Differentially Private Learning with Per-Sample Adaptive Clipping. - Chengbo Qiu, Kai Yang, Ji Wang, Shenjie Zhao:
AI Empowered Net-RCA for 6G. - Jasmin Brandt, Elias Schede, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier, Kevin Tierney:
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. - Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. - Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang:
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification. - Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. - Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammad Ameen, Srinivas Pusapati:
xEM: Explainable Entity Matching in Customer 360. - Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal:
Bayesian Heuristics for Robust Spatial Perception. - YuanFu Yang, Min Sun:
Semiconductor Defect Pattern Classification by Self-Proliferation-and-Attention Neural Network. - Mehregan Dor, Travis Driver, Kenneth Getzandanner, Panagiotis Tsiotras:
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body - Theory and Experiments. - Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger:
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering.