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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 J. W. 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 G. Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios C. Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos C. 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. - (Withdrawn) 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 E. 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. - Kaibing Xie, Jian Yang, Kang Qiu:
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection. - Maximilian Brunner, Pascal Heid, Michael Innerberger, Ani Miraçi, Dirk Praetorius, Julian Streitberger:
Adaptive FEM with quasi-optimal overall cost for nonsymmetric linear elliptic PDEs. - Markus Gardill, Dominik Pearson, Julian Scharnagl, Klaus Schilling:
Towards Wireless Ranging and Synchronization using CubeSat Software-Defined Radio Subsystems. - Pengliang Yang, Rune Mittet:
Controlled-source electromagnetic modelling using high order finite-difference time-domain method on a nonuniform grid. - Nobuho Hashimoto, Shinya Takamaeda-Yamazaki:
FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design. - Zhiyi Huang, Yaowei Long, Thatchaphol Saranurak, Benyu Wang:
Tight Conditional Lower Bounds for Vertex Connectivity Problems. - Francisco Moreno-Mora, Lukas Beckenbach, Stefan Streif:
Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration. - Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu:
Why Are Conditional Generative Models Better Than Unconditional Ones? - Olga A. Nevzorova, Konstantin Nikolaev:
Ontomathedu Ontology Enrichment Method. - Peter Juma Ochieng:
Deep neural network techniques for monaural speech enhancement: state of the art analysis. - Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. - Zichen Tian, Chuhui Xue, Jingyi Zhang, Shijian Lu:
Domain Adaptive Scene Text Detection via Subcategorization. - Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 3rd International Workshop on Reading Music Systems. - Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 2nd International Workshop on Reading Music Systems. - Souha Masmoudi, Nesrine Kaaniche, Maryline Laurent:
SPOT: Secure and Privacy-preserving prOximiTy protocol for e-healthcare systems. - Bumgeun Park, Jihui Lee, Taeyoung Kim, Dongsoo Har:
Kick-motion Training with DQN in AI Soccer Environment. - Hubert Leterme, Kevin Polisano, Valérie Perrier, Karteek Alahari:
From CNNs to Shift-Invariant Twin Wavelet Models. - Augustinos D. Saravanos, Isin M. Balci, Efstathios Bakolas, Evangelos A. Theodorou:
Distributed Model Predictive Covariance Steering. - Yixiong Chen, Jingxian Li, Chris Ding, Li Liu:
Rethinking Two Consensuses of the Transferability in Deep Learning. - Grigorios A. Pavliotis, Andrea Zanoni:
A method of moments estimator for interacting particle systems and their mean field limit. - Qiong Chang, Masaki Onishi, Tsutomu Maruyama:
Fast convolution kernels on pascal GPU with high memory efficiency. - Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi:
Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs. - Md. Sharifur Rahman, Girijesh Prasad:
A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease. - Eduard Eiben, Diptapriyo Majumdar, M. S. Ramanujan:
An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set. - Francesco Pierri, Luca Luceri, Nikhil Jindal, Emilio Ferrara:
Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine. - Sébastien Herbreteau, Charles Kervrann:
Unsupervised Linear and Iterative Combinations of Patches for Image Denoising. - Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft:
Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. - Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. - Miroslav Mitev, Arsenia Chorti, H. Vincent Poor, Gerhard P. Fettweis:
What Physical Layer Security Can Do for 6G Security. - Markus Grassl, Anna-Lena Horlemann, Violetta Weger:
The Subfield Metric and its Application to Quantum Error Correction. - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Regularization with Fake Features. - Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. - Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. - Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. - Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. - Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via 𝓁1-minimization. - Yoann Boget, Magda Gregorova, Alexandros Kalousis:
GrannGAN: Graph annotation generative adversarial networks. - Marc Alexa:
Tutte Embeddings of Tetrahedral Meshes. - Chaoyu Quan, Xu Wu, Jiang Yang:
Long time H1-stability of fast L2-1σ method on general nonuniform meshes for subdiffusion equations. - Victor Daniel Reyes Dreke, Mircea Lazar:
Consensus of hierarchical multi-agent systems with a time-varying set of active agents. - Yongqi Zhai, Luyang Tang, Yi Ma, Rui Peng, Ronggang Wang:
Disparity-based Stereo Image Compression with Aligned Cross-View Priors. - Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita:
Language Model Pre-training on True Negatives. - Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. - Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker:
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law. - Eu Wern Teh:
Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images. - Nathan Elazar, Kerry Taylor:
Implicit Mixture of Interpretable Experts for Global and Local Interpretability. - An Mo, Fabio Izzi, Emre Cemal Gönen, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Slack-based tunable damping leads to a trade-off between robustness and efficiency in legged locomotion. - Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama:
Efficient stereo matching on embedded GPUs with zero-means cross correlation. - Jindrich Helcl:
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task. - Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche:
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. - Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. - Wienke Strathern, Jürgen Pfeffer:
Identifying Different Layers of Online Misogyny. - Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. - Jingcheng Deng, Hengwei Dai, Xuewei Guo, Yuanchen Ju, Wei Peng:
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection. - Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla:
Privacy-Preserving Data Synthetisation for Secure Information Sharing. - Martin Popel, Jindrich Libovický, Jindrich Helcl:
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task. - Qiong Chang, Tsutomu Maruyama:
Real-Time High-Quality Stereo Matching System on a GPU. - Yinhuai Wang, Jiwen Yu, Jian Zhang:
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model. - Jun Du, Bingqing Jiang, Chunxiao Jiang, Yuanming Shi, Zhu Han:
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems. - Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. - Zhaolin Wang, Xidong Mu, Jiaqi Xu, Yuanwei Liu:
Simultaneously Transmitting and Reflecting Surface (STARS) for Terahertz Communications. - Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. - Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai:
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning. - Rezvan Mahdavi-Hezaveh, Sameeha Fatima, Laurie A. Williams:
An Extended Model of Software Configuration. - Alberto Pozanco, Daniel Borrajo:
Fairness in Multi-Agent Planning. - Ta-Wei Tu:
Subquadratic Weighted Matroid Intersection Under Rank Oracles. - Sebastian Koch, Stefan Pasch:
CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. - Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu:
Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates. - Luke Hyman, Ivo F. Sbalzarini, Stephen Quake, Ulrik Günther:
Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality. - Ilya Kokorin, Alexander Fedorov, Trevor Brown, Vitaly Aksenov:
Unexpected Scaling in Path Copying Trees. - Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. - Basak Sakcak, Vadim Weinstein, Steven M. LaValle:
The Limits of Learning and Planning: Minimal Sufficient Information Transition Systems. - Sarah E. Carter:
A Value-Centered Exploration of Data Privacy and Personalized Privacy Assistants. - Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Rahul Sharma, Shrikanth Narayanan:
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection. - Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa:
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo. - Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas:
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction. - Hongrui Zheng, Zirui Zang, Shuo Yang, Rahul Mangharam:
Towards Explainability in Modular Autonomous Vehicle Software. - Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang:
Duplicate Bug Report Detection: How Far Are We? - Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou:
Research on the application of contrastive learning in multi-label text classification. - Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou:
Early prediction of the risk of ICU mortality with Deep Federated Learning. - Miguel Rios, Ameen Abu-Hanna:
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift. - Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu:
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. - Yutaka Momma, Weimin Wang, Edgar Simo-Serra, Satoshi Iizuka, Ryosuke Nakamura, Hiroshi Ishikawa:
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames. - Penny Johnston, Keiller Nogueira, Kevin Swingler:
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. - Manuel Cossio:
A perspective on the use of health digital twins in computational pathology. - Bolarinwa Olayemi Saheed:
Kernelization of Discrete Optimization Problems on Parallel Architectures. - Carlos Alberto Barrera Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng:
An enhanced simulation-based multi-objective optimization approach with knowledge discovery for reconfigurable manufacturing systems. - Danilo Carastan dos Santos:
Understanding the Energy Consumption of HPC Scale Artificial Intelligence. - Matthew Ciolino, Grant Rosario, David Noever:
Soft Labels for Rapid Satellite Object Detection. - Shaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen:
Long-Document Cross-Lingual Summarization. - Frederico Dias Souza, João Baptista de Oliveira e Souza Filho:
Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers. - Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. - Yankai Lin, Michelle S. Chong, Carlos Murguia:
Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. - Jingchuan Chen, Wei Chen, Jing Li, Xiguang Wei, Wenzhe Tan, Zuo-Jun Max Shen, Hongbo Li:
Path Planning Considering Time-Varying and Uncertain Movement Speed in Multi-Robot Automatic Warehouses: Problem Formulation and Algorithm. - Yu Yuan, Jiaqi Wu, Zhongliang Jing, Henry Leung, Han Pan:
Ghost-free High Dynamic Range Imaging via Hybrid CNN-Transformer and Structure Tensor. - Gabriele Merlin, Mariya Toneva:
Language models and brain alignment: beyond word-level semantics and prediction. - Charles E. Thornton, R. Michael Buehrer:
When is Cognitive Radar Beneficial? - Ellie Pond, Matthew T. Hale:
Fast Verification of Control Barrier Functions via Linear Programming. - Jinghan Wang, Mengdi Wang, Lin F. Yang:
Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP. - Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, Feng Zhou:
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. - Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. - Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang, Kui Ren:
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores. - Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. - Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei:
Extensible Prompts for Language Models. - Soumith Udatha, Yiwei Lyu, John M. Dolan:
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging. - Thanh-Dat Truong, Pierce Helton, Ahmed Moustafa, Jackson David Cothren, Khoa Luu:
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars. - Afsana Khan, Marijn ten Thij, Anna Wilbik:
Vertical Federated Learning: A Structured Literature Review. - Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. - Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. - Lennart Küll:
Analyzing the State of Computer Science Research with the DBLP Discovery Dataset. - Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low:
Probably Approximate Shapley Fairness with Applications in Machine Learning. - Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. - Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi:
Launchpad: Learning to Schedule Using Offline and Online RL Methods. - Ainesh Bakshi, Piotr Indyk, Praneeth Kacham, Sandeep Silwal, Samson Zhou:
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation. - Kristof Cools, Carolina Urzúa-Torres:
Calderón Preconditioning for Acoustic Scattering at Multi-Screens. - Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik:
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. - Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. - Andrei Cramariuc, Lukas Bernreiter, Florian Tschopp, Marius Fehr, Victor Reijgwart, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
maplab 2.0 - A Modular and Multi-Modal Mapping Framework. - Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos:
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models. - Anupam Biswas:
Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms. - Odysseas S. Chlapanis, Georgios Paraskevopoulos, Alexandros Potamianos:
Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis. - Luke Rickard, Thom S. Badings, Licio Romao, Nils Jansen, Alessandro Abate:
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics. - Shamel Fahmi:
On Terrain-Aware Locomotion for Legged Robots. - Ye Liu, Chen Shen:
Equivalent Inertia Provided by Droop Control of Fast Frequency Regulation Resources. - Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini:
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology. - B. Jalalzadeh Fard, S. A. Hasan, J. E. Bell:
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text. - Dominik Belter, Jakub Bednarek, Hsiu-Chin Lin, Guiyang Xin, Michael N. Mistry:
Single-shot Foothold Selection and Constraint Evaluation for Quadruped Locomotion. - Aras Bacho, Holger Boche, Gitta Kutyniok:
Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. - Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. - Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue:
Clustering What Matters: Optimal Approximation for Clustering with Outliers. - Zhenrong Liu, Zongze Li, Miaowen Wen, Yi Gong, Yik-Chung Wu:
Simultaneously Transmitting and Reflecting RIS-Aided Mobile Edge Computing: Computation Rate Maximization. - Jiehua Chen, Sebastian Vincent Haydn, Negar Layegh Khavidaki, Sofia Simola, Manuel Sorge:
Game Implementation: What Are the Obstructions? - Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao:
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. - Nikita Jalodia, Mohit Taneja, Alan Davy:
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case. - Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. - Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Wanling Gao, Lei Wang, Mingyu Chen, Jin Xiong, Chunjie Luo, Wenli Zhang, Yunyou Huang, Weiping Li, Guoxin Kang, Chen Zheng, Biwei Xie, Shaopeng Dai, Qian He, Hainan Ye, Yungang Bao, Jianfeng Zhan:
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer. - Damiano Perri, Osvaldo Gervasi, Marco Simonetti, Sergio Tasso:
High Performance Computing and Computational Intelligence Applications with MultiChaos Perspective. - Trang Tran:
Predicting Digital Asset Prices using Natural Language Processing: a survey. - Xiaoqing Chen, Dongrui Wu:
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces. - Amro M. Farid, Muhannad Alshareef, Parupkar Singh Badhesha, Chiara Boccaletti, Nélio Cacho, Claire-Isabelle Carlier, Amy Corriveau, Barry Liner, Joberto S. B. Martins, Farokh Rahimi, Rosaldo Rossetti, Wester C. H. Schoonenberg, Ashlynn Stillwell, Yinhai Wang:
Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems. - Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
FuRPE: Learning Full-body Reconstruction from Part Experts. - Emily Hadley:
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. - Jorge Pérez-Aracil, Carlos Camacho-Gómez, Eugenio Lorente-Ramos, Cosmin Madalin Marina, Sancho Salcedo-Sanz:
New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL. - Félix Grèzes, Thomas Allen, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Golnaz Shapurian, Edwin A. Henneken, Carolyn S. Grant, Donna M. Thompson, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Shinyi Chen, Jennifer Koch, Taylor Jacovich, Pavlos Protopapas:
Improving astroBERT using Semantic Textual Similarity. - Christian Kümmerle, Mauro Maggioni, Sui Tang:
Learning Transition Operators From Sparse Space-Time Samples. - Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Multimodal Query-guided Object Localization. - Urh Primozic, Ljupco Todorovski, Matej Petkovic:
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
Mechanism Design Theory in Control Engineering: A Tutorial and Overview of Applications in Communication, Power Grid, Transportation, and Security Systems. - Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying:
High-dimensional density estimation with tensorizing flow. - Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, Michael L. Nelson:
Caching HTTP 404 Responses Eliminates Unnecessary Archival Replay Requests. - Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan:
Exploiting Socially-Aware Tasks for Embodied Social Navigation. - Ankit Gupta, Harsh Mehta, Jonathan Berant:
Simplifying and Understanding State Space Models with Diagonal Linear RNNs. - Ambar Pal, Arnau Ramisa, Amit Kumar K. C, René Vidal:
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection. - Michal Jamroz, Marcin Kurdziel:
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. - Alexandru Tifrea, Jacob Clarysse, Fanny Yang:
Uniform versus uncertainty sampling: When being active is less efficient than staying passive. - Gil Knafo, Ohad Fried:
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection. - Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich:
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. - Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang:
ResFormer: Scaling ViTs with Multi-Resolution Training. - Marco Bressan, Gabriel Damay, Mauro Sozio:
Fully-Dynamic Decision Trees. - Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. - Jonathan Kahana, Niv Cohen, Yedid Hoshen:
Improving Zero-Shot Models with Label Distribution Priors. - Junbum Cha, Jonghwan Mun, Byungseok Roh:
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs. - Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert W. Sumner, Francis Engelmann, Siyu Tang:
3D Segmentation of Humans in Point Clouds with Synthetic Data. - Benedikt Kolbeinsson, Krystian Mikolajczyk:
Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion. - Tal Reiss, Yedid Hoshen:
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection. - Andrea Conti, Matteo Poggi, Stefano Mattoccia:
Sparsity Agnostic Depth Completion. - Zhizhuo Zhou, Shubham Tulsiani:
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction. - Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models. - Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-training via Masking. - Xunjian LI, Guo-Liang Tian:
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence. - Jiawei Guo, Yanzhong Yao, Han Wang, Tongxiang Gu:
Pre-training strategy for solving evolution equations based on physics-informed neural networks. - Julia Docampo Sánchez:
Efficient parallel optimization for approximating CAD curves featuring super-convergence. - Martin Korth:
The purpose of qualia: What if human thinking is not (only) information processing? - Björn Kiefer, Stefan Prüger, Oliver Rheinbach, Friederike Röver:
Monolithic parallel overlapping Schwarz methods in fully-coupled nonlinear chemo-mechanics problems. - Owen Huang, Sourav Saha, Jiachen Guo, Wing Kam Liu:
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis. - Michelle Ramirez:
Navigating an Ocean of Video Data: Deep Learning for Humpback Whale Classification in YouTube Videos. - Yifan Chen, Thomas Y. Hou, Yixuan Wang:
Exponentially Convergent Multiscale Finite Element Method. - Shuai Zhu, Thiemo Voigt, JeongGil Ko, Fatemeh Rahimian:
On-device Training: A First Overview on Existing Systems. - Matthew Adiletta, David Brooks, Gu-Yeon Wei:
Architectural Implications of Embedding Dimension during GCN on CPU and GPU. - Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang:
Generalizing Math Word Problem Solvers via Solution Diversification. - Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. - Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang:
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. - Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero:
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models. - Mingyang Zhou, Grace Luo, Anna Rohrbach, Zhou Yu:
Focus! Relevant and Sufficient Context Selection for News Image Captioning. - Grace Cai, Noble C. Harasha, Nancy A. Lynch:
A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density. - Sidra Hanif, Longin Jan Latecki:
Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset. - Mo Houtti, Moyan Zhou, Loren Terveen, Stevie Chancellor:
"All of the White People Went First": How Video Conferencing Consolidates Control and Exacerbates Workplace Bias. - Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. - Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, Kanishka Silva, Hansi Hettiarachchi, Lasitha Uyangodage, Marcos Zampieri:
SOLD: Sinhala Offensive Language Dataset. - Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models. - Cooper Cone, Michael P. Owen, Luis E. Alvarez, Marc Brittain:
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System. - Mingyu Zong, Bhaskar Krishnamachari:
a survey on GPT-3. - Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens:
An introduction to optimization under uncertainty - A short survey. - Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Modeling Mobile Health Users as Reinforcement Learning Agents. - Keyan Miao, Konstantinos Gatsis:
Learning Robust State Observers using Neural ODEs (longer version). - Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. - Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Frank K. Zenke, Frank K. Gürkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, S. Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
CONVOLVE: Smart and seamless design of smart edge processors. - Jari J. van Steen, Abdullah Cosgun, Nathan van de Wouw, Alessandro Saccon:
Dual Arm Impact-Aware Grasping through Time-Invariant Reference Spreading Control. - Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune:
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics. - Mathias Schmidt, Lise Noel, Keenan Doble, John A. Evans, Kurt Maute:
Extended isogeometric analysis of multi-material and multi-physics problems using hierarchical B-splines. - Mengfan Xu, Diego Klabjan:
Pareto Regret Analyses in Multi-objective Multi-armed Bandit. - Gavin Kerrigan, Justin Ley, Padhraic Smyth:
Diffusion Generative Models in Infinite Dimensions. - Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu:
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. - Oscar H. Ibarra, Jozef Jirásek, Ian McQuillan, Luca Prigioniero:
Space Complexity of Stack Automata Models. - Morteza Mohammady Gharasuie, Fenjiao Wang:
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain. - Cyrus Neary, Ufuk Topcu:
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. - Oscar H. Ibarra, Ian McQuillan:
Generalizations of Checking Stack Automata: Characterizations and Hierarchies. - Yuga Oishi, Ken Kaneiwa:
Hierarchical Model Selection for Graph Neural Netoworks. - Xiaoran Wu, Zihan Yan, Xiang Anthony Chen:
DeclutterCam: A Photographic Assistant System with Clutter Detection and Removal. - Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning. - Christian Bitter, Timo Thun, Tobias Meisen:
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments. - Shawn Rasheed, Amjed Tahir, Jens Dietrich, Negar Hashemi, Lu Zhang:
Test Flakiness' Causes, Detection, Impact and Responses: A Multivocal Review. - Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Navigating causal deep learning. - Hui Lu, Mia Chiquier, Carl Vondrick:
Private Multiparty Perception for Navigation. - Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem:
QFF: Quantized Fourier Features for Neural Field Representations. - Jean-Raphaël Gaglione, Rajarshi Roy, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Temporal Logic Properties: an Overview of Two Recent Methods. - Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. - Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. - Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to Objects in the Real World. - Seyed Mohammad Azimi-Abarghouyi:
A Tractable Probability Distribution with Applications in Three-Dimensional Statistics. - Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. - Manuel Ballester, Heming Wang, Jiren Li, Oliver Cossairt, Florian Willomitzer:
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors. - Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, Daniel G. Aliaga:
ObjectStitch: Generative Object Compositing. - Baokai Liu, Fengjie He, Shiqiang Du, Kaiwu Zhang, Jianhua Wang:
Dunhuang murals contour generation network based on convolution and self-attention fusion. - Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu:
Integer Subspace Differential Privacy. - Yanqing Shen, Sanping Zhou, Jingwen Fu, Ruotong Wang, Shitao Chen, Nanning Zheng:
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition. - Liu Ke, Xuan Zhang, Benjamin Lee, G. Edward Suh, Hsien-Hsin S. Lee:
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation. - Hairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu:
A Geometric-Relational Deep Learning Framework for BIM Object Classification. - Diego Arroyuelo, Juan Pablo Castillo:
Trie-Compressed Intersectable Sets. - Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown:
SimpleMind adds thinking to deep neural networks. - Minh N. Vu, My T. Thai:
On the Limit of Explaining Black-box Temporal Graph Neural Networks. - Hong Ming, Jiaoyun Yang, Lili Jiang, Yan Pan, Ning An:
Few-Shot Nested Named Entity Recognition. - Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka:
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. - Alexandre Signorel:
Exploring The Relationship Between Road Infrastructure and Crimes in Memphis, Tennessee. - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. - Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. - Hao Wang, Lixue Liu, Xueguan Song, Chao Zhang, Dacheng Tao:
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data. - Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing:
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. - Xin Wu, Danfeng Hong, Jocelyn Chanussot:
UIU-Net: U-Net in U-Net for Infrared Small Object Detection. - Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert:
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. - Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. - Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. - Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. - Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim:
Relation-aware Language-Graph Transformer for Question Answering. - You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. - Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. - Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tuan Tran:
QC-StyleGAN - Quality Controllable Image Generation and Manipulation. - Fangxun Shu, Biaolong Chen, Yue Liao, Shuwen Xiao, Wenyu Sun, Xiaobo Li, Yousong Zhu, Jinqiao Wang, Si Liu:
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval. - Yuqun Wu, Jae Yong Lee, Derek Hoiem:
Sparse SPN: Depth Completion from Sparse Keypoints. - Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. - Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang:
Stable Learning via Sparse Variable Independence. - Xiaodong Li, Chenxin Zou, Yi Cai, Yuelong Zhu:
Knowledge Graph Quality Evaluation under Incomplete Information. - Guobin Shi:
Clustering through Feature Space Sequence Discovery and Analysis. - Zhen Liang, Changyuan Zhao, Wanwei Liu, Bai Xue, Wenjing Yang, Zhengbin Pang:
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory. - Riya Gupta, C. V. Jawahar:
Information Retrieval from the Digitized Books. - M. Erkin Yücel, Cem Ünsalan:
Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search. - Zhiying Xu, Hongding Peng, Wei Wang:
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization. - Jiahe Shi, Yawen Wu, Dewen Zeng, Jingtong Hu, Yiyu Shi:
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning. - Lechao Cheng, Chaowei Fang, Dingwen Zhang, Guanbin Li, Gang Huang:
Compound Batch Normalization for Long-tailed Image Classification. - Wenyao Wang, Chen-Hao Wu, Jie He:
CLeBPI: Contrastive Learning for Bug Priority Inference. - Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao:
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. - Jiaxin Zhang, Sirui Bi, Victor Fung:
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. - Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos:
Programming Is Hard - Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation. - Nikhil Kumar Singh, Indranil Saha:
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning. - Ilan Doron-Arad, Ariel Kulik, Hadas Shachnai:
Bin Packing with Partition Matroid can be Approximated within $o(OPT)$ Bins. - Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. - Takashi Kanetsuna, Kazuaki Takeuchi, Hiroaki Kato, Taichi Sono, Hirotaka Osawa, Kentaro Yoshifuji, Yoichi Yamazaki:
Interaction in Remote Peddling Using Avatar Robot by People with Disabilities. - Zheng Chen, Bo Li, Minming Li, Guochuan Zhang:
Fair Graphical Resource Allocation with Matching-Induced Utilities. - Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee:
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning. - Jaidev Shriram, Makarand Tapaswi, Vinoo Alluri:
Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations. - Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. - Ibrahim Shoer, Berkay Köprü, Engin Erzin:
Role of Audio in Audio-Visual Video Summarization. - Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingam, Riccardo Spolaor, Parth Pathak, Guoming Zhang, Xiuzhen Cheng:
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary. - Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar:
Improved Representation Learning Through Tensorized Autoencoders. - Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis:
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning. - Min Wu, Haoze Wu, Clark W. Barrett:
VeriX: Towards Verified Explainability of Deep Neural Networks. - Barak Amihood, Asaf Cohen:
Covertly Controlling a Linear System. - Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen:
Model and Data Agreement for Learning with Noisy Labels. - Erik Gärtner, Luke Metz, Mykhaylo Andriluka, C. Daniel Freeman, Cristian Sminchisescu:
Transformer-Based Learned Optimization. - Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. - Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning. - (Withdrawn) Fake detection in imbalance dataset by Semi-supervised learning with GAN.
- Antoine Vanderschueren, Christophe De Vleeschouwer:
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training? - Makoto Araya, Masaaki Harada:
Some restrictions on the weight enumerators of near-extremal ternary self-dual codes and quaternary Hermitian self-dual codes. - Tomás Chobola, Dmitrii Usynin, Georgios Kaissis:
Membership Inference Attacks Against Semantic Segmentation Models. - Lei Liu, Li Liu:
Cross-Modal Mutual Learning for Cued Speech Recognition. - Michael Farber, Amit Kumar Paul:
Sequential parametrized motion planning and its complexity, II. - Simone Conia, Edoardo Barba, Alessandro Scirè, Roberto Navigli:
Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures. - Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. - Waqas Khalid, Zeeshan Kaleem, Rehmat Ullah, Trinh Van Chien, Song Noh, Heejung Yu:
Simultaneous Transmitting and Reflecting-Reconfigurable Intelligent Surface in 6G: Design Guidelines and Future Perspectives. - Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang:
RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing. - Yifan Xie, Julian Berberich, Frank Allgöwer:
Linear Data-Driven Economic MPC with Generalized Terminal Constraint. - Tom Richard Vargis, Siavash Ghiasvand:
Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. - Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. - Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. - Zirui Wang, Shaoming Duan, Chengyue Wu, Wenhao Lin, Xinyu Zha, Peiyi Han, Chuanyi Liu:
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning. - Carolin M. Geitner, Tobias Becher, Inéz Frerichs, Norbert Weiler, Jason H. T. Bates, Wolfgang A. Wall:
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung. - Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. - Hana Dal Poz Kourimská, André Lieutier, Mathijs Wintraecken:
The medial axis of closed bounded sets is Lipschitz stable with respect to the Hausdorff distance under ambient diffeomorphisms. - Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. - Taejun Park, Yuji Nakatsukasa:
Randomized low-rank approximation for symmetric indefinite matrices. - Maria Siopi, Giorgos Kordopatis-Zilos, Polychronis Charitidis, Ioannis Kompatsiaris, Symeon Papadopoulos:
A Multi-Stream Fusion Network for Image Splicing Localization. - Long Phi Hoang, Dung Duy Le, Tuan Anh Tran, Thang Tran Ngoc:
Improving Pareto Front Learning via Multi-Sample Hypernetworks. - Dianwen Mei, Wei Zhuo, Jiandong Tian, Guangming Lu, Wenjie Pei:
Activating the Discriminability of Novel Classes for Few-shot Segmentation. - Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. - Gabriel Lord, Mengchao Wang:
Convergence of a splitting method for a general interest rate model. - Dorina Weichert, Alexander Kister, Sebastian Houben, Gunar Ernis, Stefan Wrobel:
Robustness in Fatigue Strength Estimation. - Laia Tarrés, Gerard I. Gállego, Xavier Giró-i-Nieto, Jordi Torres:
Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22. - Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. - Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li:
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. - Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. - Davide Cenzato, Veronica Guerrini, Zsuzsanna Lipták, Giovanna Rosone:
Computing the optimal BWT of very large string collections. - Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Clustering individuals based on multivariate EMA time-series data. - Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. - Lars Möllenbrok, Begüm Demir:
Deep Active Learning for Multi-Label Classification of Remote Sensing Images. - Yeongwoo Song, Hawoong Jeong:
Identifying Hamiltonian manifold in neural networks. - Haoran Wei, Xu Liu, Shouchun Xu, Zhongjian Dai, Yaping Dai, Xiangyang Xu:
DWRSeg: Dilation-wise Residual Network for Real-time Semantic Segmentation. - Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni:
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. - Manuel Kauers, Jakob Moosbauer:
Flip Graphs for Matrix Multiplication. - Muriel Médard, Ken R. Duffy:
Physical layer insecurity. - Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi:
A General Purpose Supervisory Signal for Embodied Agents. - Alexandre Bittar, Philip N. Garner:
Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition. - Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. - Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. - Frédéric Prost:
Inheritance and Blockchain: Thoughts and Open Questions. - Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca:
Vector Symbolic Finite State Machines in Attractor Neural Networks. - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. - Chelsey Edge, Junaed Sattar:
Diver Interest via Pointing: Human-Directed Object Inspection for AUVs. - Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. - Yinan Liu, Wei Shen, Yuanfei Wang, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan:
Joint Open Knowledge Base Canonicalization and Linking. - Maowei Jiang, Pengyu Zeng, Kai Wang, Huan Liu, Wenbo Chen, Haoran Liu:
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting. - Nedim Osmic, Adnan Tahirovic, Bakir Lacevic:
Octocopter Design: Modelling, Control and Motion Planning. - Lucas Meijer, Tillmann Miltzow:
Sometimes Two Irrational Guards are Needed. - Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, Xu Chen:
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network. - Zongzhe Xu:
Using Large Pre-Trained Language Model to Assist FDA in Premarket Medical Device. - Lucas Valentin:
Answer ranking in Community Question Answering: a deep learning approach. - Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization. - Alexey Zhukov, Jenny Benois-Pineau, Romain Giot:
Reference-based and No-reference Metrics to Evaluate Explanation Methods of AI - CNNs in Image Classification Tasks. - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. - Muhammad Hamza:
Software Requirements Engineering Healthcare Implementation Maturity Model (SRE-HIMM) for Global Health-Care Information System. - Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Eugenio Nerio Nemmi:
NFT Wash Trading in the Ethereum Blockchain. - Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. - Thomas Nowotny, James Paul Turner, James C. Knight:
Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks. - Jim Smith, Richard John Preen, Andrew McCarthy, Alba Crespi-Boixader, James Liley, Simon Rogers:
Safe machine learning model release from Trusted Research Environments: The AI-SDC package. - Rui Abreu:
The Bumpy Road of Taking Automated Debugging to Industry. - Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Linyu Sun, Chao Li, Kwang-Ting Cheng:
Analyzing the Hardware-Software Implications of Multi-modal DNN Workloads using MMBench. - W. B. Hoekwater, J. D. Wiersema, S. Hassan HosseinNia:
Hybrid Tunable Magnet Actuator: Modeling and Design. - Shamel Fahmi, Victor Barasuol, Domingo Esteban, Octavio Villarreal, Claudio Semini:
ViTAL: Vision-Based Terrain-Aware Locomotion for Legged Robots. - Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. - Jan-Oliver Felix Kapp-Joswig, Bettina G. Keller:
Clustering - Basic concepts and methods. - R. Nemer, Aurélien Larcher, Elie Hachem:
Adaptive Immersed Mesh Method (AIMM) for Fluid Structure Interaction. - Andreas Schaad, Dominik Binder:
Deep-Learning-based Vulnerability Detection in Binary Executables. - Nima Karbasizadeh, S. Hassan HosseinNia:
Shaping Nonlinearity in Reset Controllers for Precision Motion Systems. - Maxim Khomiakov, Julius Holbech Radzikowski, Carl Anton Schmidt, Mathias Bonde Sørensen, Mads Andersen, Michael Riis Andersen, Jes Frellsen:
SolarDK: A high-resolution urban solar panel image classification and localization dataset. - Gencer Sumbul, Begüm Demir:
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning in Remote Sensing. - Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini:
Denoising Deep Generative Models. - S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman:
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data. - Felipe Giori, Flavio V. D. de Figueiredo:
Initial Results for Pairwise Causal Discovery Using Quantitative Information Flow. - Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. - Sehan Samarakoon, Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Sang-Yoon Chang, Jinoh Kim, Jonghyun Kim, Mika Ylianttila:
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. - Oscar H. Ibarra, Ian McQuillan:
Semilinearity of Families of Languages. - Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings:
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. - Andrew Albright, Joshua Vaughan:
Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning. - Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. - Arya Bangun, Paul F. Baumeister, Alexander Clausen, Dieter Weber, Rafal E. Dunin-Borkowski:
Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction. - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. - Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. - Jiayu Mao, Aylin Yener:
Iterative Power Control for Wireless Networks with Distributed Reconfigurable Intelligent Surfaces. - Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. - Jie Feng, Jun Zhao:
Resource Allocation for Augmented Reality Empowered Vehicular Edge Metaverse. - Fangyi Yu, Lee Quartey, Frank Schilder:
Legal Prompting: Teaching a Language Model to Think Like a Lawyer. - Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame. - Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts:
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
CT-DQN: Control-Tutored Deep Reinforcement Learning. - Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee:
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. - Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman:
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. - Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. - Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang:
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. - Shrutarv Awasthi, Fernando Moya Rueda, Gernot A. Fink:
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition. - Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. - Shao-Di Wang, Hui-Ming Wang, Chen Feng, Victor C. M. Leung:
Sequential Anomaly Detection Against Demodulation Reference Signal Spoofing in 5G NR. - Shao-Di Wang, Hui-Ming Wang, Peng Liu:
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications. - Hong Jun Jeon, Benjamin Van Roy:
An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws. - Moritz Kappel, Vladislav Golyanik, Susana Castillo, Christian Theobalt, Marcus A. Magnor:
Fast Non-Rigid Radiance Fields from Monocularized Data. - Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control via Uncertainty Cancellation. - Mustafa Doger, Sennur Ulukus:
Bitcoin Security-Latency Under Network Delay. - Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson:
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. - Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Paul Boutot, Mirza Rehenuma Tabassum, Abdul Abedin, Sadaf Mustafiz:
Requirements Development for IoT Systems with UCM4IoT. - Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Enis Simsar, Alessio Tonioni, Evin Pinar Örnek, Federico Tombari:
LatentSwap3D: Semantic Edits on 3D Image GANs. - Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain:
Welfare and Fairness in Multi-objective Reinforcement Learning. - Yahya Saleh, Armin Iske, Andrey Yachmenev, Jochen Küpper:
Augmenting Basis Sets by Normalizing Flows. - Morgan C. Thomas, Noel M. O'Boyle, Andreas Bender, Chris de Graaf:
Re-evaluating sample efficiency in de novo molecule generation. - Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz:
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. - Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio:
FullBrain: a Social E-learning Platform. - Julia Pasiecznik, Simone Servadio, Richard Linares:
A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials. - Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. - Jonathan P. Chang, Charlotte Schluger, Cristian Danescu-Niculescu-Mizil:
Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions. - Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. - Maitraya K. Bhattacharyya, David Radice:
A Finite Element Method for Angular Discretization of the Radiation Transport Equation on Spherical Geodesic Grids. - Yang Shi, Guannan Liang, Young-joo Chung:
Meta-Shop: Improving Item Advertisement For Small Businesses. - Michael Planer, Jen M. Sierchio:
Measuring Competency of Machine Learning Systems and Enforcing Reliability. - Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer:
Operator inference with roll outs for learning reduced models from scarce and low-quality data. - Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. - Faith M. Johnson, Kristin J. Dana:
Learning a Pedestrian Social Behavior Dictionary. - Cooper Lorsung, Amir Barati Farimani:
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. - Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. - Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski:
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. - Philippe Rauffet:
Tools and methods for Human-Autonomy Teaming: Contributions to cognitive state monitoring and system adaptation. - Muhammad Asif Khan, Hamid Menouar, Osama Muhammad Khalid, Adnan A. Abu-Dayya:
Unauthorized Drone Detection: Experiments and Prototypes. - Peniel N. Argaw, Elizabeth Healey, Isaac S. Kohane:
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals. - Stanislav Morozov, Matvey Smirnov, Nikolai L. Zamarashkin:
On the optimal rank-1 approximation of matrices in the Chebyshev norm. - Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. - Jan Hazla:
Optimal list decoding from noisy entropy inequality. - Ömür Arslan:
Time Governors for Safe Path-Following Control. - Muhammad Asif Khan, Hamid Menouar, Ridha Hamila:
Drones-aided Asset Maintenance in Hospitals. - Maxwell Mbabilla Aladago, A. J. Piergiovanni:
Compound Tokens: Channel Fusion for Vision-Language Representation Learning. - Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. - Muhammad Asif Khan, Hamid Menouar, Ridha Hamila:
Crowd Density Estimation using Imperfect Labels. - Muhammad Asif Khan, Ridha Hamila, Hamid Menouar:
CLIP: Train Faster with Less Data. - Özgür Agrali, Hakan Sökün, Enis Karaarslan:
Twitter Data Analysis: Izmir Earthquake Case. - Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova, Arik Senderovich:
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data. - Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. - Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew Parnell:
NEAL: An open-source tool for audio annotation. - (Withdrawn) Stabbing balls with line segments and polygonal paths.
- Jian Jia, Fei He, Naiyu Gao, Xiaotang Chen, Kaiqi Huang:
Learning Disentangled Label Representations for Multi-label Classification. - Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte:
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors. - Leonardo Christino, Taylor Hill, Fernando V. Paulovich:
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications. - Or Nachmias, Ohad Fried, Ariel Shamir:
Prediction of Scene Plausibility. - Samuel Talkington, Daniel Turizo, Santiago Grijalva, Jorge Fernandez, Daniel K. Molzahn:
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections. - Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu:
Parallelizing Maximal Clique Enumeration on GPUs. - Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. - Wen Siang Tan, Markus Wagner, Christoph Treude:
Detecting Outdated Code Element References in Software Repository Documentation. - Yulin Shao, Qi Cao, Deniz Gündüz:
A Theory of Semantic Communication. - Carina Kauf, Anna A. Ivanova, Giulia Rambelli, Emmanuele Chersoni, Jingyuan Selena She, Zawad Chowdhury, Evelina Fedorenko, Alessandro Lenci:
Event knowledge in large language models: the gap between the impossible and the unlikely. - Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. - Tahiya Salam, Alice Kate Li, M. Ani Hsieh:
Online Estimation of the Koopman Operator Using Fourier Features. - Tianqi Zheng, Pengcheng You, Enrique Mallada:
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics. - Harry Freeman, Mohamad Qadri, Abhisesh Silwal, Paul O'Connor, Zachary B. Rubinstein, Daniel Cooley, George Kantor:
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision. - Michael Drolet, Joseph Campbell, Heni Ben Amor:
Learning and Blending Robot Hugging Behaviors in Time and Space. - Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. - Madhusanka Liyanage, An Braeken, Shahriar Shahabuddin, Pasika Ranaweera:
Open RAN Security: Challenges and Opportunities. - (Withdrawn) Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.
- Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun:
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. - Yanxiang Gong, Zhiwei Xie, Guozhen Duan, Zheng Ma, Mei Xie:
Distribution Fitting for Combating Mode Collapse in GANs. - Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh:
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. - Hedyeh Beyhaghi, Linda Cai:
Pandora's Problem with Nonobligatory Inspection: Optimal Structure and a PTAS. - (Withdrawn) IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection.
- Xinyu Chen, Zhanhong Cheng, Nicolas Saunier, Lijun Sun:
Laplacian Convolutional Representation for Traffic Time Series Imputation. - Muqing Cao, Kun Cao, Shenghai Yuan, Thien-Minh Nguyen, Lihua Xie:
NEPTUNE: Non-Entangling Planning for Multiple Tethered Unmanned Vehicles. - Hao Ren, Guowen Xu, Tianwei Zhang, Jianting Ning, Xinyi Huang, Hongwei Li, Rongxing Lu:
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data. - Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition. - Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. - Aeris El Asslouj, Hossein Rastgoftar:
Quadcopter Tracking Using Euler-Angle-Free Flatness-Based Control. - Bo Qin, Aixin Jia, Qiang Wang, Jianning Lu, Shuqin Pan, Haibo Wang, Ming Chen:
The RoyalFlush System for the WMT 2022 Efficiency Task. - Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. - Ruihao Zheng, Zhenkun Wang:
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization. - Yi Lei, Shan Yang, Xinsheng Wang, Qicong Xie, Jixun Yao, Lei Xie, Dan Su:
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis. - Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. - Liye Jia, Cong Zhou, Ka Lok Man, Sheng-Uei Guan, Jeremy S. Smith, Yutao Yue:
The Cause of Causal Emergence: Redistribution of Uncertainty. - Pankaj Sharma, Imran Qureshi, Minh Tran:
Meta Learning for Few-Shot Medical Text Classification. - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su:
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. - Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald:
Understanding the Robustness of Multi-Exit Models under Common Corruptions. - Dibakar Das, Jyotsna Bapat, Debabrata Das:
Node and Edge Centrality based Failures in Multi-layer Complex Networks. - Haoxuan Wang, Junchi Yan:
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. - Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu:
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer. - En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao:
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. - Clarisa V. Albarillo, Emely A. Munar, Maria Concepcion M. Balcita:
Computer and Internet Literacy Course of the College of Computer Science for the Municipality of Agoo, La Union. - Yurid Nugraha, Tomohisa Hayakawa, Hideaki Ishii, Ahmet Cetinkaya, Quanyan Zhu:
Two-Player Incomplete Games of Resilient Multiagent Systems. - Gary Tom, Riley J. Hickman, Aniket Zinzuwadia, Afshan Mohajeri, Benjamín Sánchez-Lengeling, Alán Aspuru-Guzik:
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS. - Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. - Teppei Otsuka, Aohan Li, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa:
High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems. - Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Risheng Yu, Xiansheng Hua, Lei Zhang:
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution. - Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. - Ziwei Ji, Zihan Liu, Nayeon Lee, Tiezheng Yu, Bryan Wilie, Min Zeng, Pascale Fung:
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. - Idan Kligvasser, Tamar Rott Shaham, Noa Alkobi, Tomer Michaeli:
BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. - Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara:
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation. - Xiangxiang Chu, Liang Li, Bo Zhang:
Make RepVGG Greater Again: A Quantization-aware Approach. - Thomas Erlebach, Jakob T. Spooner:
Parameterized temporal exploration problems. - Ha-Thanh Nguyen:
Secrecy-Verifiability Paradox in Smart Contracts. - Bar Meyuhas, Anat Bremler-Barr, David Hay, Shoham Danino:
It Is Not Where You Are, It Is Where You Are Registered: IoT Location Impact. - Loizos Hadjiloizou, Kyriakos M. Deliparaschos, Evagoras Makridis, Themistoklis Charalambous:
Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication. - Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang:
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. - Jiajia Mi, Hao Wu:
An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction. - Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl:
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. - (Withdrawn) Battery Degradation Long-term Forecast Using Gaussian Process Dynamical Models and Knowledge Transfer.
- Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li:
Exploring Stochastic Autoregressive Image Modeling for Visual Representation. - Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen:
CoP: Factual Inconsistency Detection by Controlling the Preference. - Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. - Dengke Wang, Alessandro Traspadini, Marco Giordani, Mohamed-Slim Alouini, Michele Zorzi:
On the Performance of Non-Terrestrial Networks to Support the Internet of Things. - Omar Costa Hamido, Paulo Vitor Itaboraí:
OSC-Qasm: Interfacing Music Software with Quantum Computing. - Stephan Simonis, Johannes Nguyen, Samuel J. Avis, Willy Dörfler, Mathias J. Krause:
Binary mixture flow with free energy lattice Boltzmann methods. - Huilin Wang, Xin Kang, Tieyan Li, Zhongding Lei, Cheng-Kang Chu, Haiguang Wang:
An Overview of Trust Standards for Communication Networks and Future Digital World. - Tingting Yuan, Hwei-Ming Chung, Jie Yuan, Xiaoming Fu:
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning. - Jana Cslovjecsek, Michal Pilipczuk, Karol Wegrzycki:
Parameterized Approximation for Maximum Weight Independent Set of Rectangles and Segments. - Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan:
Smoothing Policy Iteration for Zero-sum Markov Games. - Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao:
Learning Detail-Structure Alternative Optimization for Blind Super-Resolution. - Hiroaki Kikuchi:
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy. - Yixuan Wu, Feng Li, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao:
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution. - Narasimha Raghavan Veeraragavan, Jan Franz Nygård:
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries. - Qingfeng Guan, Wei-Qin Chen, Ying Li:
Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method. - Tamal K. Dey, Abhishek Rathod:
Cup Product Persistence and Its Efficient Computation. - Yinghua Li, Xueqi Dang, Haoye Tian, Tiezhu Sun, Zhijie Wang, Lei Ma, Jacques Klein, Tegawendé F. Bissyandé:
AI-driven Mobile Apps: an Explorative Study. - Jintao Lin, Zhaoyang Liu, Wenhai Wang, Wayne Wu, Limin Wang:
VLG: General Video Recognition with Web Textual Knowledge. - Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. - Christopher J. Tralie, Zachary Schlamowitz, Jose E. Arbelo, Antonio I. Delgado, Charley Kirk, Nicholas A. Scoville:
The DOPE Distance is SIC: A Stable, Informative, and Computable Metric on Time Series And Ordered Merge Trees.