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ORCIDCoRR, March 2022
- Maxx Richard Rahman, Jacob Bejder
, Thomas Christian Bonne, Andreas Breenfeldt Andersen, Jesús Rodríguez Huertas, Reid Aikin, Nikolai Baastrup Nordsborg, Wolfgang Maaß:
AI-based approach for improving the detection of blood doping in sports. - Tianning Zhang, Yee Sin Ang, Erping Li, Chun Yun Kee, Lay Kee Ang:
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design. - Minglang Yin, Enrui Zhang, Yue Yu, George Em Karniadakis:
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems. - Hongyu Zhu, Stefan Klus, Tuhin Sahai:
A Dynamic Mode Decomposition Approach for Decentralized Spectral Clustering of Graphs. - Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems. - (Withdrawn) GCN-Transformer for short-term passenger flow prediction on holidays in urban rail transit systems.
- Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? - Kun Wang, Mridul Aanjaneya, Kostas E. Bekris:
A Recurrent Differentiable Engine for Modeling Tensegrity Robots Trainable with Low-Frequency Data. - Mengshuo Jia, Gabriela Hug, Yifan Su, Chen Shen:
Chance-constrained OPF: A Distributed Method with Confidentiality Preservation. - Mengshuo Jia, Qianni Cao, Chen Shen, Gabriela Hug:
Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method. - Mattias P. Heinrich, Lasse Hansen:
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation. - Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs with Semantic-Aware Upsampling for Image Generation. - Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Multi-modal Alignment using Representation Codebook. - Jørgen Andreas Agersborg, Luigi Tommaso Luppino, Stian Normann Anfinsen, Jane Uhd Jepsen:
Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping. - Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, Richard A. Newcombe:
ERF: Explicit Radiance Field Reconstruction From Scratch. - Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon:
LISA: Learning Interpretable Skill Abstractions from Language. - George Chrysostomou, Nikolaos Aletras:
An Empirical Study on Explanations in Out-of-Domain Settings. - Robi Bhattacharjee, Alex Cloninger, Yoav Freund:
Structure from Voltage. - Niharika Thakuria, Sumeet Kumar Gupta:
Piezoelectric Strain FET (PeFET) based Non-Volatile Memories. - He Lyu, Rongrong Wang:
Perturbation of invariant subspaces for ill-conditioned eigensystem. - Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim:
Optimal Transport-based Graph Matching for 3D retinal OCT image registration. - Liang Qiu, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Structure Extraction in Task-Oriented Dialogues with Slot Clustering. - Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. - Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Fayyaz A. Minhas, David R. J. Snead, Nasir M. Rajpoot:
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification. - Guy Scher, Sadra Sadraddini, Russ Tedrake, Hadas Kress-Gazit:
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications. - Ali Raza, Lazar Lolic, Shahmir Akhter, Alfonso Dela Cruz, Michael Liut:
Deep Camera Pose Regression Using Pseudo-LiDAR. - Palash Dey, Debajyoti Kar, Swagato Sanyal:
Sampling-Based Winner Prediction in District-Based Elections. - Francesco Braghin, Luca Paparusso, Manuel Riani, Fabio Ruggeri:
Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles. - Samuel H. Christie V., Amit K. Chopra, Munindar P. Singh:
Pippi: Practical Protocol Instantiation. - William D'Amico, Marcello Farina:
Virtual Reference Feedback Tuning for linear discrete-time systems with robust stability guarantees based on Set Membership. - Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse:
Amortized Proximal Optimization. - Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie:
Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. - Timothy C. Y. Chan, Simon Y. Huang, Vahid Sarhangian:
Dynamic Control of Service Systems with Returns: Application to Design of Post-Discharge Hospital Readmission Prevention Programs. - Xia Li, Longxiu Huang, Deanna Needell:
Distributed randomized Kaczmarz for the adversarial workers. - Hossein Keshavarz, Meiyappan Nagappan:
ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction. - Pratikkumar Prajapati, Chris Pollett:
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment. - Arun Padakandla:
An Achievable Rate Region for 3-User Classical-Quantum Broadcast Channels. - Hugo Caselles-Dupré, Mohamed Chetouani, Olivier Sigaud:
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions. - John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi:
GraphWorld: Fake Graphs Bring Real Insights for GNNs. - Anthony Peruma, Christian D. Newman:
Understanding Digits in Identifier Names: An Exploratory Study. - Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. - Matthew Ciolino, Dominick Hambrick, David Noever:
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline. - George S. Oliveira, Juha Röning, Patricia Della Méa Plentz, Jônata Tyska Carvalho:
Efficient Task Allocation in Smart Warehouses with Multi-delivery Stations and Heterogeneous Robots. - Aowabin Rahman, Ján Drgona, Aaron Tuor, Jan Strube:
Neural Ordinary Differential Equations for Nonlinear System Identification. - Pasquale Lafiosca, Marta Ceccaroni:
Rectifying homographies for stereo vision: analytical solution for minimal distortion. - Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
On classification of strategic agents who can both game and improve. - Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. - Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo:
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. - Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas:
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. - Saba Ahmadi, Hedyeh Beyhaghi, Avrim Blum, Keziah Naggita:
Setting Fair Incentives to Maximize Improvement. - Sina Baghali, Zhaomiao Guo, Samiul Hasan:
Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach. - Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. - Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA-DRL: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. - Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson:
The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. - Olivier Danvy:
Getting There and Back Again. - Jennie Rogers, Elizabeth Adetoro, Johes Bater, Talia Canter, Dong Fu, Andrew Hamilton, Amro Hassan, Ashley Martinez, Erick Michalski, Vesna Mitrovic, Fred D. Rachman, Raj C. Shah, Matt Sterling, Kyra VanDoren, Theresa L. Walunas, Xiao Wang, Abel N. Kho:
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network. - D. W. Crews:
Arbitrarily high order implicit ODE integration by correcting a neural network approximation with Newton's method. - Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matt Bishop, Karl N. Levitt:
Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles. - Ilqar Ramazanli:
Performance of Distribution Regression with Doubling Measure under the seek of Closest Point. - Andrew Choi, Mohammad Khalid Jawed, Jungseock Joo:
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers. - Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting. - Minhoo Kang, Ranggi Hwang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu:
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. - Qianglong Chen:
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering. - (Withdrawn) Do Transformers use variable binding?
- Julio Juárez-Xochitemol, Edgar Chávez:
Quantum jumbled pattern matching. - Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka:
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. - Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang:
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. - Zheng Yuan, Tianhao Wu, Qinwen Wang, Yiying Yang, Lei Li, Lin Zhang:
T3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area. - Yiming Wang, Dongxia Chang, Zhiqiang Fu, Jie Wen, Yao Zhao:
ACTIVE: Augmentation-Free Graph Contrastive Learning for Partial Multi-View Clustering. - Angus Fung, Beno Benhabib, Goldie Nejat:
Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations. - Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. - Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi:
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History. - Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen:
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. - (Withdrawn) EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing.
- Vitaly Feldman, Jelani Nelson, Huy Le Nguyen, Kunal Talwar:
Private Frequency Estimation via Projective Geometry. - (Withdrawn) Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and Load.
- Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li:
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. - Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, Zhenan He:
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation. - Meng Guo, Mathias Bürger:
Interactive Human-in-the-loop Coordination of Manipulation Skills Learned from Demonstration. - Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. - Shalanika Dayarathna, Rajitha Senanayake, Jamie S. Evans:
Optimal Routing for Multi-user Multi-hop Relay Networks via Dynamic Programming. - Yancheng Pan, Fan Xie, Huijing Zhao:
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data. - Bo-Yuan Huang, Steven Lyubomirsky, Yi Li, Mike He, Thierry Tambe, Gus Henry Smith, Akash Gaonkar, Vishal Canumalla, Gu-Yeon Wei, Aarti Gupta, Zachary Tatlock, Sharad Malik:
Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface. - Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss:
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers. - Lei Liu, Yiyao Cheng, Shansuo Liang, Jonathan H. Manton, Li Ping:
On Orthogonal Approximate Message Passing. - Xuankai Chang, Niko Moritz, Takaaki Hori, Shinji Watanabe, Jonathan Le Roux:
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR. - Jon M. Kleinberg, Emily Ryu, Éva Tardos:
Ordered Submodularity and its Applications to Diversifying Recommendations. - Li You, Xiaoyu Qiang, Christos G. Tsinos, Fan Liu, Wenjin Wang, Xiqi Gao, Björn E. Ottersten:
Beam Squint-Aware Integrated Sensing and Communications for Hybrid Massive MIMO LEO Satellite Systems. - Michelle Bak, Jessie Chin, Chungyi Chiu:
Mental Health Pandemic during the COVID-19 Outbreak: Calls for Help on Social Media. - Luke Whitbread, Mark Jenkinson:
How certain are your uncertainties? - Jamison R. Ebert, Vamsi K. Amalladinne, Stefano Rini, Jean-François Chamberland, Krishna R. Narayanan:
Coded Demixing for Unsourced Random Access. - Akanksha Saxena, J. P. Jaiswal, K. R. Pardasani:
Convergence Criteria of a Three Step Scheme under generalized Lipschitz Condition in Banach Spaces. - Huaicheng Li, Daniel S. Berger, Stanko Novakovic, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Monish Shah, Ishwar Agarwal, Mark D. Hill, Marcus Fontoura, Ricardo Bianchini:
First-generation Memory Disaggregation for Cloud Platforms. - Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang:
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment. - Hong Jun Jeon, Benjamin Van Roy:
Sample Complexity versus Depth: An Information Theoretic Analysis. - Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi:
Exploring and Adapting Chinese GPT to Pinyin Input Method. - Yiwen Chen, Zedong Zhang, Haofeng Liu, Jiayi Tan, Marcelo H. Ang:
FIRL: Fast Imitation and Policy Reuse Learning. - Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. - Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao:
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors. - Fu Lee Wang, Yidan Feng, Haoran Xie, Gary Cheng, Mingqiang Wei:
When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters. - Yufei Liang, Jiangning Zhang, Shiwei Zhao, Runze Wu, Yong Liu, Shuwen Pan:
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection. - Sivakanth Gopi, Yin Tat Lee, Daogao Liu:
Private Convex Optimization via Exponential Mechanism. - Yue Liu, Qinghua Lu, Guangsheng Yu, Hye-Young Paik, Harsha Perera, Liming Zhu:
A Pattern Collection for Blockchain Governance. - Jiaxin Cao, Bo Yang, Shanying Zhu, Kai Ma, Xinping Guan:
Bidirectional Pricing and Demand Response for Nanogrids with HVAC Systems. - Hamdy Mubarak, Shammur Absar Chowdhury, Firoj Alam:
ArabGend: Gender Analysis and Inference on Arabic Twitter. - Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul:
TableFormer: Robust Transformer Modeling for Table-Text Encoding. - Zeinab Sasan, Siavash Khorsandi:
Slice-Aware Resource Calendaring in Cloud-based Radio Access Networks. - Pingzhi Yuan:
Compositional Inverses of AGW-PPs. - Xiang Hu, Haitao Mi, Liang Li, Gerard de Melo:
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation. - Xiaotong Chen, Huijie Zhang, Zeren Yu, Stanley R. Lewis, Odest Chadwicke Jenkins:
ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception. - Joan Boyar, Lene M. Favrholdt, Kim S. Larsen:
Online Unit Profit Knapsack with Untrusted Predictions. - Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang:
"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction. - Ling Gao, Junyan Su, Jiadi Cui, Xiangchen Zeng, Xin Peng, Laurent Kneip:
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles. - Ling Gao, Laurent Kneip:
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization. - Can Zhou, Razin A. Shaikh, Yiran Li, Amin Farjudian:
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks. - Dorian Hillebrand, Simon-Christian Klein, Philipp Öffner:
Comparison to control oscillations in high-order Finite Volume schemes via physical constraint limiters, neural networks and polynomial annihilation. - Sandro Rodriguez Garzon, Hakan Yildiz, Axel Küpper:
Towards Decentralized Identity Management in Multi-stakeholder 6G Networks. - Jinlai Zhang, Weiming Li, Shuang Liang, Hao Wang, Jihong Zhu:
Adversarial samples for deep monocular 6D object pose estimation. - Lourenço Beirão da Veiga, Lorenzo Mascotto, Jian Meng:
Interpolation and stability estimates for edge and face virtual elements of general order. - Yanrong Guo, Chenyang Zhu, Shijie Hao, Richang Hong:
Automatic Depression Detection via Learning and Fusing Features from Visual Cues. - Leon Amadeus Varga, Sebastian Koch, Andreas Zell:
Comprehensive Analysis of the Object Detection Pipeline on UAVs. - Jing Tan, Yuhong Wang, Gangshan Wu, Limin Wang:
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. - Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena:
Collaborative Robot Mapping using Spectral Graph Analysis. - Ra'Fat Al-Msie'deen, Anas H. Blasi, Hamzeh Eyal Salman, Saqer Saleh Alja'afreh, Ahmad Abadleh, Mohammed A. Alsuwaiket, Awni Hammouri, Asmaa Jameel Al-Nawaiseh, Wafa Tarawneh, Suleyman A. Al-Showarah:
Detecting commonality and variability in use-case diagram variants. - Ziwei Ji, Yan Xu, I-Tsun Cheng, Samuel Cahyawijaya, Rita Frieske, Etsuko Ishii, Min Zeng, Andrea Madotto, Pascale Fung:
VScript: Controllable Script Generation with Audio-Visual Presentation. - Keisuke Okumura, Xavier Défago:
Quick Multi-Robot Motion Planning by Combining Sampling and Search. - Timothée Anne, Eloïse Dalin, Ivan Bergonzani, Serena Ivaldi, Jean-Baptiste Mouret:
First do not fall: learning to exploit the environment with a damaged humanoid robot. - (Withdrawn) Explainability for identification of vulnerable groups in machine learning models.
- Helena Klause, Alexander Ziller, Daniel Rueckert, Kerstin Hammernik, Georgios Kaissis:
Differentially private training of residual networks with scale normalisation. - Yuting Nie, Junhong Zhao, Wei-Qiang Zhang, Jinfeng Bai, Zhongqin Wu:
BERT-LID: Leveraging BERT to Improve Spoken Language Identification. - Alessandro Del Giudice:
Counting stars: a survey on flexible Skyline Query approaches. - Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. - Wei Cheah, Keir Groves, Horatio Martin, Harriet Peel, Simon Watson, Ognjen Marjanovic, Barry Lennox:
MIRRAX: A Reconfigurable Robot for Limited Access Environments. - Lehel Banjai, Charalambos G. Makridakis:
A posteriori error analysis for approximations of time-fractional subdiffusion problems. - Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung:
Read before Generate! Faithful Long Form Question Answering with Machine Reading. - Mounir Bensalem, Anna Engelmann, Admela Jukan:
A Semi-Markov Decision Process (SMDP)-based Channel Allocation Model for Unreliable Terahertz (THz) Reconfigurable Intelligent Surfaces (RIS). - Vasileios Stamatis, Michail Salampasis:
Results Merging in the Patent Domain. - Ok-Chol Ri, Yong-Jin Kim, You-Jin Jong:
Blockchain-based RBAC Model with Separation of Duties constraint in Cloud Environment. - Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard:
Affordance Learning from Play for Sample-Efficient Policy Learning. - You-Jin Jong, Yong-Jin Kim, Ok-Chol Ri:
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores. - Jinjie Li, Liang Han, Zhang Ren:
Indoor Localization for Quadrotors using Invisible Projected Tags. - Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. - Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Safe Control with Minimal Regret. - Francesco Romor, Giovanni Stabile, Gianluigi Rozza:
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. - Beniamino Accattoli, Ugo Dal Lago, Gabriele Vanoni:
Reasonable Space for the λ-Calculus, Logarithmically. - Jens-Rene Giesen, Sébastien Andreina, Michael Rodler, Ghassan O. Karame, Lucas Davi:
Practical Mitigation of Smart Contract Bugs. - Vilde B. Gjærum, Inga Strümke, Ole Andreas Alsos, Anastasios M. Lekkas:
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization. - Vilde B. Gjærum, Ella-Lovise H. Rørvik, Anastasios M. Lekkas:
Approximating a deep reinforcement learning docking agent using linear model trees. - Alain Govaert, Lorenzo Zino, Emma Tegling:
Population games on dynamic community networks. - Tamas David-Barrett:
Clustering Drives Cooperation on Reputation Networks, All Else Fixed. - Dominik Kowald, Emanuel Lacic:
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems. - Timo T. Stomberg, Taylor Stone, Johannes Leonhardt, Ribana Roscher:
Exploring Wilderness Using Explainable Machine Learning in Satellite Imagery. - Konstantin Kirchheim, Tim Gonschorek, Frank Ortmeier:
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection. - Yoann Fleytoux, Anji Ma, Serena Ivaldi, Jean-Baptiste Mouret:
Data-efficient learning of object-centric grasp preferences. - Zihao Wang, Wei Liu, Qian He, Xinglong Wu, Zili Yi:
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP. - Ruiying Lu, Ziheng Cheng, Bo Chen, Xin Yuan:
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing. - Gregor Gantner, Dirk Praetorius, Stefan Schimanko:
Stable implementation of adaptive IGABEM in 2D in MATLAB. - David Abel:
A Theory of Abstraction in Reinforcement Learning. - Joost Bambacht, Johan Pouwelse:
Web3: A Decentralized Societal Infrastructure for Identity, Trust, Money, and Data. - Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li:
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. - Muxin He, Jindan Xu, Wei Xu, Hong Shen, Ning Wang, Chunming Zhao:
RIS-Assisted Quasi-Static Broad Coverage for Wideband mmWave Massive MIMO Systems. - Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. - Marian Petrica, Ionel Popescu:
A Dynamical Estimation and Prediction for Covid19 on Romania using ensemble neural networks. - Ravi Suman, Ananth Krishnamurthy:
Markovian Analysis of Coordination Strategies in Tandem Polling Queues with Setups. - Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. - Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao:
Interpretable Molecular Graph Generation via Monotonic Constraints. - Yongjie Yang, Jinlei Zhang, Lixing Yang, Ziyou Gao:
Short-term passenger flow prediction for multi-traffic modes: A residual network and Transformer based multi-task learning method. - Subhasish Basak, Julien Bect, Emmanuel Vázquez:
Integration of bounded monotone functions: Revisiting the nonsequential case, with a focus on unbiased Monte Carlo (randomized) methods. - Philippe Cotte, Pierre Lagier, Vincent Margot, Christophe Geissler:
Making use of supercomputers in financial machine learning. - Mahta Taghi Zadeh, Rasha Kashef:
The Impact of IT Projects Complexity on Cost Overruns and Schedule Delays. - Zhuofa Chen, Yousif Khaireddin, Anna K. Swan:
Identifying charge density and dielectric environment of graphene using Raman spectroscopy and deep learning. - Stevie Chancellor:
Towards Practices for Human-Centered Machine Learning. - Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed:
se-Shweshwe Inspired Fashion Generation. - Tianjiao Jiang, Yi Jin, Tengfei Liang, Xu Wang, Yidong Li:
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation. - Théo Nancy, Vassili Maillet, Johann Barbier:
An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks. - Ankush Deshmukh, Bhargava B. C., A. V. Narasimhadhan:
Realtime strategy for image data labelling using binary models and active sampling. - Jiabao Wang, Yang Li, Xiu-Shen Wei, Hang Li, Zhuang Miao, Rui Zhang:
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification. - Andrew Jacobsen, Ashok Cutkosky:
Parameter-free Mirror Descent. - Marcos Faúndez-Zanuy:
Technological evaluation of two AFIS systems. - Maksim Levental:
Memory Planning for Deep Neural Networks. - Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. - Zihan Zhang, Xiang Xiang:
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation. - Maryam Fadavian, Heidar Fadavian:
A genetic algorithm for straight-line embedding of a cycle onto a given set of points inside the general simple polygons. - Jose Angel Miranda, Esther Rituerto-González, Laura Gutiérrez-Martín, Clara Luis-Mingueza, Manuel Felipe Canabal, Alberto Ramírez-Bárcenas, José Manuel Lanza-Gutiérrez, Carmen Peláez-Moreno, Celia López-Ongil:
WEMAC: Women and Emotion Multi-modal Affective Computing dataset. - Gustavo J. G. Lahr, Henrique Borges Garcia, Arash Ajoudani, Thiago Boaventura, Glauco A. P. Caurin:
A hybrid model-based evolutionary optimization with passive boundaries for physical human-robot interaction. - Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. - Luigi C. Berselli, Stefano Spirito:
On the convergence of second-order in time numerical discretizations for the evolution Navier-Stokes equations. - Khlood Jastaniah, Ning Zhang, Mustafa A. Mustafa:
Privacy-Friendly Flexible IoT Health Data Processing with User-Centric Access Control. - Tim Ritmeester, Hildegard Meyer-Ortmanns:
Belief propagation for supply networks: Efficient clustering of their factor graphs. - Benedikt Lorch, Nicole Scheler, Christian Riess:
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act. - Guochen Yu, Yuansheng Guan, Weixin Meng, Chengshi Zheng, Hui Wang:
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement. - Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks. - Martin Gruber, Gordon Fraser:
A Survey on How Test Flakiness Affects Developers and What Support They Need To Address It. - Zhen Li, Haode Yan:
Two Classes of Power Mappings with Boomerang Uniformity 2. - Reza Javanmard Alitappeh, Akhil John, Bernardo Dias, A. John van Opstal, Alexandre Bernardino:
Strategies for modelling open-loop saccade control of a cable-driven biomimetic robot eye. - Yuki Kubota, Yuki Ohira, Tetsuo Shimizu:
Attention-based Contextual Multi-View Graph Convolutional Networks for Short-term Population Prediction. - Antun Ivanovic, Marsela Polic, Jelena Tabak, Matko Orsag:
Render-in-the-loop aerial robotics simulator: Case Study on Yield Estimation in Indoor Agriculture. - Joe Dumas:
Accuracy of Garmin GPS Running Watches over Repetitive Trials on the Same Route. - Masashi Okada, Tadahiro Taniguchi:
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction. - Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu, Nishtha Jain, Bharadwaj Veeravalli, Deepu John:
A predictive analytics approach for stroke prediction using machine learning and neural networks. - Anna Ziegler, Niklas Georg, Wolfgang Ackermann, Sebastian Schöps:
Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem. - Ilenia Fronza, Luis Corral, Xiaofeng Wang, Claus Pahl:
Keeping Fun Alive: an Experience Report on Running Online Coding Camps. - Zhong Tian, Zhengchuan Chen, Min Wang, Yunjian Jia, Shi Jin:
Reconfigurable Intelligent Surface-Aided Spectrum Sharing Coexisting with Multiple Primary Networks. - Marcos Faúndez-Zanuy:
A comparative study of several parameterizations for speaker recognition. - Mahyuddin K. M. Nasution, Rahmad Syah:
Social Network Extraction Unsupervised. - Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. - Shihong Wang, Xueying Zhang, Yichen Meng, Wei Xing:
E-LMC: Extended Linear Model of Coregionalization for Predictions of Spatial Fields. - A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-Objective Latent Space Optimization of Generative Molecular Design Models. - Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman:
On genetic programming representations and fitness functions for interpretable dimensionality reduction. - Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index. - Matteo Pantano, Thomas Eiband, Dongheui Lee:
Capability-based Frameworks for Industrial Robot Skills: a Survey. - Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare:
On the Generalization of Representations in Reinforcement Learning. - Yuri Faenza, Swati Gupta, Xuan Zhang:
Discovering Opportunities in New York City's Discovery Program: an Analysis of Affirmative Action Mechanisms. - Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. - Sergio Armando Gutierrez, Juan Felipe Botero, John Willian Branch:
An Adaptable and Agnostic Flow Scheduling Approach for Data Center Networks. - René Zurbrügg, Hermann Blum, César Cadena, Roland Siegwart, Lukas Schmid:
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning. - Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. - Abhinav Jha, Michele Nottoli, Chaoyu Quan, Benjamin Stamm:
Computation of forces arising from the linear Poisson-Boltzmann method in the domain-decomposition paradigm. - Hoang Phan, Trung Le, Trung Phung, Tuan-Anh Bui, Nhat Ho, Dinh Q. Phung:
Global-Local Regularization Via Distributional Robustness. - Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei:
DeepNet: Scaling Transformers to 1, 000 Layers. - Michael Rawson, Samuel Dooley, Mithun Bharadwaj, Rishabh Choudhary:
Topological Data Analysis for Word Sense Disambiguation. - Chunwei Xing, Xinyu Sun, Andrei Cramariuc, Samuel Gull, Jen Jen Chung, César Cadena, Roland Siegwart, Florian Tschopp:
Descriptellation: Deep Learned Constellation Descriptors for SLAM. - Jialin Hong, Diancong Jin, Derui Sheng:
Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence. - Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan:
Contrasting random and learned features in deep Bayesian linear regression. - Manesh Thankappan, Helena Rifà-Pous, Carles Garrigues:
Multi-Channel Man-in-the-Middle Attacks Against Protected Wi-Fi Networks: A State of the Art Review. - Kaixiang Zhang, Kyle Lammers, Pengyu Chu, Nathan Dickinson, Zhaojian Li, Renfu Lu:
Algorithm Design and Integration for a Robotic Apple Harvesting System. - Richard J. Chen, Rahul G. Krishnan:
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology. - Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti:
Structural invariants and semantic fingerprints in the "ego network" of words. - Maria Waheed, Michael Milford, Klaus D. McDonald-Maier, Shoaib Ehsan:
SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments. - Yuxuan Zhao, Alexandru Uta:
Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions. - Daniel T. Chang:
Dual Embodied-Symbolic Concept Representations for Deep Learning. - Stephen McCrory, Bhavyansh Mishra, Jaehoon An, Robert J. Griffin, Jerry E. Pratt, Hakki Erhan Sevil:
Humanoid Path Planning over Rough Terrain using Traversability Assessment. - Jhon Alexánder Parra, Sergio Armando Gutierrez, John Willian Branch:
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices. - Chiara Boldrini, Andrea Passarella, Marco Conti:
Models for digitally contact-traced epidemics. - Gregory L. Heileman, Chaouki T. Abdallah, Andrew K. Koch:
The Transfer Student Experience: It's A Lot Like Buying a Used Car. - Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari:
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. - Hagai Aronowitz, Itai Gat, Edmilson da Silva Morais, Weizhong Zhu, Ron Hoory:
Towards a Common Speech Analysis Engine. - Juncai He, Richard Tsai, Rachel A. Ward:
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. - Bernard Kapidani, Rafael Vázquez Hernández:
High order geometric methods with splines: an analysis of discrete Hodge-star operators. - Fernando Navarro, Guido Sasahara, Suprosanna Shit, Ivan Ezhov, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze:
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning. - Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer:
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. - Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes. - Saad Islam, Koksal Mus, Richa Singh, Patrick Schaumont, Berk Sunar:
Signature Correction Attack on Dilithium Signature Scheme. - Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. - Ben Simner, Alasdair Armstrong, Jean Pichon-Pharabod, Christopher Pulte, Richard Grisenthwaite, Peter Sewell:
Relaxed virtual memory in Armv8-A (extended version). - Youngwoo Sim, Joao Ramos:
Tello Leg: The Study of Design Principles and Metrics for Dynamic Humanoid Robots. - Gregory A. Daly, Jonathan E. Fieldsend, Gavin R. Tabor:
Variational Autoencoders Without the Variation. - Tanya Shreedhar, Sanjit K. Kaul, Roy D. Yates:
Coexistence of Age Sensitive Traffic and High Throughput Flows: Does Prioritization Help? - Ramon Sanabria, Wei-Ning Hsu, Alexei Baevski, Michael Auli:
Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training. - Hamza El-Kebir, Joseph Bentsman, Melkior Ornik:
Lodestar: An Integrated Embedded Real-Time Control Engine. - Harrison Goldstein, Benjamin C. Pierce:
Parsing Randomness: Unifying and Differentiating Parsers and Random Generators. - Diego Santoro, Ilie Sarpe:
ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks. - Vanessa R. C. Leite, Zhe Su, Adrian M. Whatley, Giacomo Indiveri:
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors. - Mohammed E. Fouda, Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi:
In-memory Associative Processors: Tutorial, Potential, and Challenges. - Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
Iterative Residual Policy: for Goal-Conditioned Dynamic Manipulation of Deformable Objects. - Gilad Cohen, Raja Giryes:
Generative Adversarial Networks. - Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Tim Klinger, Murray Campbell, Shirin Sohrabi, Gerald Tesauro:
AI Planning Annotation for Sample Efficient Reinforcement Learning. - Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva:
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time. - Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan:
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption. - Andrew Reece, Gus Cooney, Peter Bull, Christine Chung, Bryn Dawson, Casey A. Fitzpatrick, Tamara Glazer, Dean Knox, Alex Liebscher, Sebastian Marin:
Advancing an Interdisciplinary Science of Conversation: Insights from a Large Multimodal Corpus of Human Speech. - Shubham Singh, Ryan P. Russell, Patrick M. Wensing:
Details of Second-Order Partial Derivatives of Rigid-Body Inverse Dynamics. - Mohamed Afham, Isuru Dissanayake, Dinithi Dissanayake, Amaya Dharmasiri, Kanchana Thilakarathna, Ranga Rodrigo:
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding. - Chenyan Jia, Alexander Boltz, Angie Zhang, Anqing Chen, Min Kyung Lee:
Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation. - Fabian Göttsch, Noboru Osawa, Takeo Ohseki, Kosuke Yamazaki, Giuseppe Caire:
Subspace-Based Pilot Decontamination in User-Centric Scalable Cell-Free Wireless Networks. - Avishkar Bhoopchand, Bethanie Brownfield, Adrian Collister, Agustin Dal Lago, Ashley Edwards, Richard Everett, Alexandre Fréchette, Yanko Gitahy Oliveira, Edward Hughes, Kory W. Mathewson, Piermaria Mendolicchio, Julia Pawar, Miruna Pislar, Alex Platonov, Evan Senter, Sukhdeep Singh, Alexander Zacherl, Lei M. Zhang:
Learning Robust Real-Time Cultural Transmission without Human Data. - Hassan Abdelraouf, Gidado-Yisa Immanuel, Eric Feron:
Computing Bounds on L∞-induced Norm for Linear Time-Invariant Systems Using Homogeneous Lyapunov Functions. - Yufeng Yang, Peidong Wang, DeLiang Wang:
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition. - Vaughn Chambers, Panagiotis Artemiadis:
Repeated Robot-Assisted Unilateral Stiffness Perturbations Result in Significant Aftereffects Relevant to Post-Stroke Gait Rehabilitation. - Lei Jiang, Lei Ju:
FHEBench: Benchmarking Fully Homomorphic Encryption Schemes. - Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu:
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. - Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake, Jun Takamatsu, Hideki Koike, Katsushi Ikeuchi:
Task-grasping from human demonstration. - Divya Bhargavi, Erika Pelaez Coyotl, Sia Gholami:
Knock, knock. Who's there? - Identifying football player jersey numbers with synthetic data. - Baptiste Chopin, Naima Otberdout, Mohamed Daoudi, Angela Bartolo:
3D Skeleton-based Human Motion Prediction with Manifold-Aware GAN. - Zongyu Li, Kay Hutchinson, Homa Alemzadeh:
Runtime Detection of Executional Errors in Robot-Assisted Surgery. - Jelena Mirkovic, Yebo Feng, Jun Li:
Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures. - Jiaxin Cao, Bo Yang, Shanying Zhu, Chi Yung Chung, Xinping Guan:
Multi-level Coordinated Energy Management for Energy Hub in Hybrid Markets with Distributionally Robust Scheduling. - Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang:
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. - Jason Li, Danupon Nanongkai, Debmalya Panigrahi, Thatchaphol Saranurak:
Fair Cuts, Approximate Isolating Cuts, and Approximate Gomory-Hu Trees in Near-Linear Time. - Ben Greenspan, Eric M. Gallo, Andreea Danielescu:
Rapidly Customizable 3D Printed Tactile Input Devices with No Assembly Required. - Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth:
There is a Time and Place for Reasoning Beyond the Image. - Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi:
HyperPrompt: Prompt-based Task-Conditioning of Transformers. - Biyi Fang, Jean Utke, Diego Klabjan:
Tricks and Plugins to GBM on Images and Sequences. - Biyi Fang, Kripa Rajshekhar, Diego Klabjan:
Topic Analysis for Text with Side Data. - Mihail Eric, Nicole Chartier, Behnam Hedayatnia, Karthik Gopalakrishnan, Pankaj Rajan, Yang Liu, Dilek Hakkani-Tur:
Multi-Sentence Knowledge Selection in Open-Domain Dialogue. - Noama Fatima Samreen, Manar H. Alalfi:
VOLCANO: Detecting Vulnerabilities of Ethereum Smart Contracts Using Code Clone Analysis. - Ming Zhan, Zhibo Pang, Dacfey Dzung, Kan Yu, Ming Xiao:
Short-Packet Interleaver against Impulse Interference in Practical Industrial Environments. - Noama Fatima Samreen, Manar H. Alalfi:
Mining Domain Models in Ethereum DApps using Code Cloning. - Aditya Rajagopal, Christos-Savvas Bouganis:
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. - Pow Chang:
Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification. - Cristiana de Farias, Brahim Tamadazte, Rustam Stolkin, Naresh Marturi:
Grasp Transfer for Deformable Objects by Functional Map Correspondence. - Carmen Amo Alonso, Jing Shuang Li, Nikolai Matni, James Anderson:
Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees. - Jiexin Duan, Xingye Qiao, Guang Cheng:
Enhanced Nearest Neighbor Classification for Crowdsourcing. - Maximilian Raff, Nelson Rosa Jr., C. David Remy:
Connecting Gaits in Energetically Conservative Legged Systems. - Kostas Ferles, Benjamin Sepanski, Rahul Krishnan, James Bornholt, Isil Dillig:
Synthesizing Fine-Grained Synchronization Protocols for Implicit Monitors (Extended Version). - Pedro Guedes, Maria Alexandra Oliveira, Cristina Branquinho, João Nuno Silva:
Image analysis for automatic measurement of crustose lichens. - Felipe Lepe, Gonzalo Rivera, Jesus Vellojin:
Error estimates for a vorticity-based velocity-stress formulation of the Stokes eigenvalue problem. - Zenjie Li, Barry Norton:
Unified Physical Threat Monitoring System Aided by Virtual Building Simulation. - May Alhajri, Ahmad Salehi Shahraki, Carsten Rudolph:
Privacy of Fitness Applications and Consent Management in Blockchain. - Wentao Zhang, Shuang Xu, Haoran Huang:
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue. - Gedaliah Knizhnik, Mark Yim:
Amplitude Control for Parallel Lattices of Docked Modboats. - Gedaliah Knizhnik, Peihan Li, Xi Yu, M. Ani Hsieh:
Flow-Based Control of Marine Robots in Gyre-Like Environments. - Jingxi Xu, Shuran Song, Matei T. Ciocarlie:
TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors. - Jiri Gesi, Siqi Liu, Jiawei Li, Iftekhar Ahmed, Nachiappan Nagappan, David Lo, Eduardo Santana de Almeida, Pavneet Singh Kochhar, Lingfeng Bao:
Code Smells in Machine Learning Systems. - Maksym Neyra-Nesterenko, Ben Adcock:
Stable, accurate and efficient deep neural networks for inverse problems with analysis-sparse models. - Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester:
Dojo: A Differentiable Simulator for Robotics. - Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. - Houssem-eddine Boulahbal, Adrian Voicila, Andrew I. Comport:
Instance-aware multi-object self-supervision for monocular depth prediction. - Feng Hu:
Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems. - Binbin Gu, Saeed Kargar, Faisal Nawab:
Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolution. - Ayman Diyab Alahmar, Ola Alkhatib:
Computerization of Clinical Pathways: A Literature Review and Directions for Future Research. - Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou:
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. - Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao:
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. - Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek:
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. - Julia Lindberg, Bernard C. Lesieutre, Line A. Roald:
Using Geographic Load Shifting to Reduce Carbon Emissions. - Dening Lu, Qian Xie, Linlin Xu, Jonathan Li:
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. - Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang:
Personalized Federated Learning With Structure. - Philippe Nadeau, Matthew Giamou, Jonathan Kelly:
Fast Object Inertial Parameter Identification for Collaborative Robots. - Qingsong Zhao, Shuguang Dou, Xiaopeng Ji, Xinyang Jiang, Cairong Zhao, Yin Wang:
GSC Loss: A Gaussian Score Calibrating Loss for Deep Learning. - Arash Tavakoli, Steven Boker, Arsalan Heydarian:
Driver State Modeling through Latent Variable State Space Framework in the Wild. - Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie:
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. - Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren:
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion. - Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Zhen Li, Shuguang Cui:
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning. - Sabah Al-Fedaghi:
Conceptual Modeling of Events Based on One-Category Ontology. - Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. - Shenggan Cheng, Ruidong Wu, Zhongming Yu, Bin-Rui Li, Xiwen Zhang, Jian Peng, Yang You:
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours. - William S. Evans, Noushin Saeedi, Chan-Su Shin, Hyun Tark:
Reachability of turn sequences. - Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang:
Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild. - Jinlu Zhang, Zhigang Tu, Jianyu Yang, Yujin Chen, Junsong Yuan:
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video. - Junyu Lin, Xiaofeng Mao, Yuefeng Chen, Lei Xu, Yuan He, Hui Xue:
D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention. - Jia Li, Jie Cao, Junxian Duan, Ran He:
Styleverse: Towards Identity Stylization across Heterogeneous Domains. - Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia:
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. - Zhilong Chen, Hancheng Cao, Xiaochong Lan, Zhicong Lu, Yong Li:
Beyond Virtual Bazaar: How Social Commerce Promotes Inclusivity for the Traditionally Underserved Community in Chinese Developing Regions. - Qiaole Dong, Chenjie Cao, Yanwei Fu:
Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding. - Hanan Alsouly, Michael Kirley, Mario Andrés Muñoz:
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems. - Venkata Beri:
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection. - Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar:
Faith-Shap: The Faithful Shapley Interaction Index. - Anas Mahmoud, Jordan S. K. Hu, Steven L. Waslander:
Dense Voxel Fusion for 3D Object Detection. - Seyed A. Esmaeili, Hayley Grape, Brian Brubach:
Centralized Fairness for Redistricting. - Somjit Nath, Omkar Shelke, Durgesh Kalwar, Hardik Meisheri, Harshad Khadilkar:
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. - Xibai Lou, Yang Yang, Changhyun Choi:
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter. - Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. - Sruthi Gorantla, Amit Deshpande, Anand Louis:
Sampling Random Group Fair Rankings. - Xiaoqiang Wang, Yanqing Liu, Jinyu Li, Veljko Miljanic, Sheng Zhao, Hosam Khalil:
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems. - Kristian F. D. Rietveld, Harry A. G. Wijshoff:
Providing A Compiler Technology-Based Alternative For Big Data Application Infrastructures. - Chunran Zheng, Qingyan Zhu, Wei Xu, Xiyuan Liu, Qizhi Guo, Fu Zhang:
FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry. - Qi Zhang, Zijian Yang, Yilun Huang, Jiarong He, Lixiang Wang:
An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models. - Jiakang Zheng, Jiayi Zhang, Emil Björnson, Zhetao Li, Bo Ai:
Cell-Free Massive MIMO-OFDM for High-Speed Train Communications. - Sen Yang, Yunchen Zhang, Leyang Cui, Yue Zhang:
Do Prompts Solve NLP Tasks Using Natural Language? - Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim:
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. - Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. - Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle:
Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems. - Yun Ho Choi, Doik Kim:
Distributed goal assignment strategy for improving leader-following formation control performance. - (Withdrawn) A Split Semantic Detection Algorithm for Psychological Sandplay Image.
- Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao:
A Principled Design of Image Representation: Towards Forensic Tasks. - Hao Liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao:
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling. - Ismat Jarin, Birhanu Eshete:
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members. - Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady:
Integer Factorization with Compositional Distributed Representations. - Xiaqing Ding, Xuecheng Xu, Sha Lu, Yanmei Jiao, Mengwen Tan, Rong Xiong, Huanjun Deng, Mingyang Li, Yue Wang:
Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud. - Imad Kissami, Ahmed Ratnani:
Manapy: MPI-Based framework for solving partial differential equations using finite-volume on unstructured-grid. - Kunyu Peng, Alina Roitberg, Kailun Yang, Jiaming Zhang, Rainer Stiefelhagen:
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration. - Lin Li, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang:
Video is All You Need: Attacking PPG-based Biometric Authentication. - Shiwen He, Zhenyu An, Jianyue Zhu, Min Zhang, Yongming Huang, Yaoxue Zhang:
Cross-Layer Optimization: Joint User Scheduling and Beamforming Design With QoS Support in Joint Transmission Networks. - Abdullah Akgül, Gozde Unal, Melih Kandemir:
Continual Learning of Multi-modal Dynamics with External Memory. - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. - Xuan Xie, Kristian Kersting, Daniel Neider:
Neuro-Symbolic Verification of Deep Neural Networks. - Peter Beelen, Johan Rosenkilde, Grigory Solomatov:
Fast Decoding of AG Codes. - Shun Sato, Yuto Miyatake, John C. Butcher:
High-order linearly implicit schemes conserving quadratic invariants. - Frederik Hagelskjær, Anders Glent Buch:
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data. - Minkyu Kim, Ryan Gupta, Luis Sentis:
KC-TSS: An Algorithm for Heterogeneous Robot Teams Performing Resilient Target Search. - Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet, Daniel Gatica-Perez:
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation. - Pengyu Cheng, Zhen-Hua Ling:
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis. - Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa, Masanari Kimura:
GRASP EARTH: Intuitive Software for Discovering Changes on the Planet. - Yun Fan, Liren Lin:
Asymptotic Properties of Quasi-Group Codes. - Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. - Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang, Jia-Hao Jian, Yu-Shian Lin, Liu-Rui-Yi Huang:
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions. - Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun:
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. - Wen Zhang, Chi-Man Wong, Ganqiang Ye, Bo Wen, Hongting Zhou, Wei Zhang, Huajun Chen:
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application. - Franck Dufrenois, Alaa El Ichi, Khalide Jbilou:
Multilinear Discriminant Analysis using a new family of tensor-tensor products. - Lorenzo Gentilini, Dario Mengoli, Lorenzo Marconi:
Direct Bézier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments. - Meher Preetam Korukonda:
Modeling and Control of Smart Standalone Microgrids within Cyber Physical System Frameworks. - Jin Fan, Ke Zhang, Yipan Huang, Yifei Zhu, Baiping Chen:
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction. - Jacek Komorowski:
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training. - Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos:
L4KDE: Learning for KinoDynamic Tree Expansion. - Grzegorz Dudek:
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting. - Lehel Banjai:
Implicit/explicit, BEM/FEM coupled scheme for acoustic waves with the wave equation in the second order formulation. - Thu-Le Tran, Clément Elvira, Hong Phuong Dang, Cédric Herzet:
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces with supplementary material. - Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng:
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. - Koen van Hove, Jeroen van der Ham, Roland van Rijswijk-Deij:
Rpkiller: Threat Analysis from an RPKI Relying Party Perspective. - Orin Levy, Yishay Mansour:
Learning Efficiently Function Approximation for Contextual MDP. - Ebraheem Aldahham, Lehel Banjai:
A modified convolution quadrature combined with the method of fundamental solutions and Galerkin BEM for acoustic scattering. - Sotaro Katayama, Toshiyuki Ohtsuka:
Whole-body model predictive control with rigid contacts via online switching time optimization. - Felix Anand Epp, Anna Kantosalo, Nehal Jain, Andrés Lucero, Elisa D. Mekler:
Adorned in Memes: Exploring the Adoption of Social Wearables in Nordic Student Culture. - Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Improving the Diversity of Bootstrapped DQN via Noisy Priors. - Feng Wang, Songfu Cai, Vincent K. N. Lau:
Sequential Offloading for Distributed DNN Computation in Multiuser MEC Systems. - Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. - Timothée Lesort:
Continual Feature Selection: Spurious Features in Continual Learning. - Kyle Matoba, Nikolaos Dimitriadis, François Fleuret:
The Theoretical Expressiveness of Maxpooling. - Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar:
TableFormer: Table Structure Understanding with Transformers. - Carmine Dodaro, Marco Maratea, Mauro Vallati:
On the Configuration of More and Less Expressive Logic Programs. - David Cerdeira, José Martins, Nuno Santos, Sandro Pinto:
ReZone: Disarming TrustZone with TEE Privilege Reduction. - Giuseppe Paolo:
Learning in Sparse Rewards settings through Quality-Diversity algorithms. - Carsten Carstensen, Sophie Puttkammer:
Adaptive guaranteed lower eigenvalue bounds with optimal convergence rates. - Silja L. Christensen, Nicolai André Brogaard Riis, Felipe Uribe, Jakob Sauer Jørgensen:
Structural Gaussian Priors for Bayesian CT reconstruction of Subsea Pipes. - Roy Overbeek, Jörg Endrullis, Aloïs Rosset:
Graph Rewriting and Relabeling with PBPO+: A Unifying Theory for Quasitoposes. - Damian Kurpiewski, Lukasz Mikulski, Wojciech Jamroga:
STV+AGR: Towards Practical Verification of Strategic Ability Using Assume-Guarantee Reasoning. - Henning Petzka, Ted Kronvall, Cristian Sminchisescu:
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks. - Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. - Steve Benford, Anders Sundnes Løvlie, Karin Ryding, Paulina Rajkowska, Edgar Bodiaj, Dimitrios Paris Darzentas, Harriet R. Cameron, Jocelyn Spence, Joy Egede, Bogdan Spanjevic:
Sensitive Pictures: Emotional Interpretation in the Museum. - Thomas Reynolds, Maruf A. Dhali, Lambert Schomaker:
Image-based material analysis of ancient historical documents. - Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. - Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen:
A Bayesian Approach to CT Reconstruction with Uncertain Geometry. - Marcell Wolnitza, Osman Kaya, Tomas Kulvicius, Florentin Wörgötter, Babette Dellen:
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects. - Pascal Schneider, Jason R. Rambach, Bruno Mirbach, Didier Stricker:
Unsupervised Anomaly Detection from Time-of-Flight Depth Images. - Diego Paez-Granados, Vaibhav Gupta, Aude Billard:
Unfreezing Social Navigation: Dynamical Systems based Compliance for Contact Control in Robot Navigation. - Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. - Le Yang, Junwei Han, Dingwen Zhang:
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars. - Jialin Ji, Tiankai Yang, Chao Xu, Fei Gao:
Real-Time Trajectory Planning for Aerial Perching. - Konstantinos Kogkalidis, Gijs Wijnholds:
Discontinuous Constituency and BERT: A Case Study of Dutch. - Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson:
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain. - Jialiang Hou, Xin Zhou, Zhongxue Gan, Fei Gao:
Enhanced Decentralized Autonomous Aerial Swarm with Group Planning. - Gal Beniamini:
Algebraic Representations of Unique Bipartite Perfect Matching. - Dingding Cai, Janne Heikkilä, Esa Rahtu:
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. - Johannes Köhler, Melanie N. Zeilinger:
Recursively feasible stochastic predictive control using an interpolating initial state constraint - extended version. - Marvin Klingner, Mouadh Ayache, Tim Fingscheidt:
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. - Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss:
Reliable validation of Reinforcement Learning Benchmarks. - Hiroki Matsutani, Mineto Tsukada, Masaaki Kondo:
On-Device Learning: A Neural Network Based Field-Trainable Edge AI. - Kristian F. D. Rietveld, Harry A. G. Wijshoff:
Redefining The Query Optimization Process. - Haohan Guo, Hui Lu, Xixin Wu, Helen Meng:
A Multi-Scale Time-Frequency Spectrogram Discriminator for GAN-based Non-Autoregressive TTS. - Anne Hommelberg, Bart van Strien, Kristian F. D. Rietveld, Harry A. G. Wijshoff:
A New Framework for Expressing, Parallelizing and Optimizing Big Data Applications. - Gregory Emdin, Alexander S. Kulikov, Ivan Mihajlin, Nikita Slezkin:
CNF Encodings of Parity. - Pirmin Braun, Niklas Hahn, Martin Hoefer, Conrad Schecker:
Delegated Online Search. - Qing Cheng, Niclas Zeller, Daniel Cremers:
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications. - Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels. - Xingbo Dong, Zhe Jin, KokSheik Wong:
A Generalized Approach for Cancellable Template and Its Realization for Minutia Cylinder-Code. - Romain Chapoullié, Zoltán Szigeti:
On packing time-respecting arborescences. - Tarik Moufakir, Mohamed Faten Zhani, Abdelouahed Gherbi, Moayad Aloqaily, Nadir Ghrada:
SFCaaS: Service Function Chains as a Service in NFV Environments. - Eduardo Abdon Sarquis Filho, Björn Müller, Nicolas Holland, Christian Reise, Klaus Kiefer, Bernd Kollosch, Paulo J. Costa Branco:
Practical Recommendations for the Design of Automatic Fault Detection Algorithms Based on Experiments with Field Monitoring Data. - Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. - Demian Hespe, Lukas Hübner, Peter Sanders, Alexandros Stamatakis:
ReStore: In-Memory REplicated STORagE for Rapid Recovery in Fault-Tolerant Algorithms. - Cagri Toraman, Furkan Sahinuç, Eyup Halit Yilmaz:
Large-Scale Hate Speech Detection with Cross-Domain Transfer. - Christos N. Karras, Aristeidis Karras, Spyros Sioutas:
Pattern Recognition and Event Detection on IoT Data-streams. - Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. - Manu Lahariya, Dries F. Benoit, Chris Develder:
Defining a synthetic data generator for realistic electric vehicle charging sessions. - Fangqiang Ding, Zhijun Pan, Yimin Deng, Jianning Deng, Chris Xiaoxuan Lu:
Self-Supervised Scene Flow Estimation with 4D Automotive Radar. - Jiabao Ji, Yoon Kim, James R. Glass, Tianxing He:
Controlling the Focus of Pretrained Language Generation Models. - Alexis Duburcq, Fabian Schramm, Guilhem Boéris, Nicolas Bredèche, Yann Chevaleyre:
Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. - Frank Bieder, Maximilian Link, Simon Romanski, Haohao Hu, Christoph Stiller:
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations. - Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu:
DisARM: Displacement Aware Relation Module for 3D Detection. - Oren Spector, Vladimir Tchuiev, Dotan Di Castro:
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input. - Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo:
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. - Nico Jahn, Michael Siebert:
Engineering the Neural Automatic Passenger Counter. - Amy A. Winecoff, Elizabeth Anne Watkins:
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups. - Yihan Lin, Yifan Hu, Shijie Ma, Guoqi Li, Dongjie Yu:
Rethinking Pretraining as a Bridge from ANNs to SNNs. - Marcos Faúndez-Zanuy, Jordi Solé-Casals:
Speaker recognition improvement using blind inversion of distortions. - Josep-Maria Cuscó, Marcos Faúndez-Zanuy:
Applying multi-angled parallelism to Spanish topographical maps. - Boyang Ti, Yongsheng Gao, Jie Zhao, Sylvain Calinon:
Imitation of Manipulation Skills Using Multiple Geometries. - Herman Geuvers, Rob Nederpelt:
Characteristics of de Bruijn's early proof checker Automath. - Tiago Ribeiro, Ana Paiva:
Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots. - Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. - Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna:
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. - Sascha Wirges, Kevin Rösch, Frank Bieder, Christoph Stiller:
Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines. - Oliver Stromann, Seyed Alireza Razavi, Michael Felsberg:
Visual Feature Encoding for GNNs on Road Networks. - Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat:
EnDSUM: Entropy and Diversity based Disaster Tweet Summarization. - Zikang Xiong, Joe Eappen, Ahmed H. Qureshi, Suresh Jagannathan:
Model-free Neural Lyapunov Control for Safe Robot Navigation. - Hengyi Wang, Chaoran Zhu, Ziyin Ma, Changjae Oh:
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings. - Takato Yasuno, Junichiro Fujii, Riku Ogata, Masahiro Okano:
VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface. - Jules Chenou, George Hsieh, Aurelia T. Williams:
Theoretical Foundation of Colored Petri Net through an Analysis of their Markings as Multi-classification. - Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, Eric Cousineau, Siyuan Feng, Shuran Song:
DextAIRity: Deformable Manipulation Can be a Breeze. - Aritra Mitra, Hamed Hassani, George J. Pappas:
Linear Stochastic Bandits over a Bit-Constrained Channel. - Nir Oren, Bruno Yun, Assaf Libman, Murilo S. Baptista:
Analytical Solutions for the Inverse Problem within Gradual Semantics. - Neel Doshi, Orion Taylor, Alberto Rodriguez:
Manipulation of unknown objects via contact configuration regulation. - Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio Self-supervised Learning: A Survey. - Tommaso Apicella, Giulia Slavic, Edoardo Ragusa, Paolo Gastaldo, Lucio Marcenaro:
Container Localisation and Mass Estimation with an RGB-D Camera. - Matteo Pagin, Marco Giordani, Amir Ashtari Gargari, Alberto Rech, Federico Moretto, Stefano Tomasin, Jonathan Gambini, Michele Zorzi:
End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays. - Zi Wang, Gautam Prakriya, Somesh Jha:
A Quantitative Geometric Approach to Neural Network Smoothness. - Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong:
Truthful Online Scheduling of Cloud Workloads under Uncertainty. - Zihao Zhou, Yanan Li, Xuebin Ren, Shusen Yang:
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data. - Ali Safaya, Emirhan Kurtulus, Arda Göktogan, Deniz Yuret:
Mukayese: Turkish NLP Strikes Back. - Ben Finkelshtein, Chaim Baskin, Haggai Maron, Nadav Dym:
A Simple and Universal Rotation Equivariant Point-cloud Network. - Weicai Ye, Xinyue Lan, Ge Su, Hujun Bao, Zhaopeng Cui, Guofeng Zhang:
Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation. - Hai Zhong, Yutaka Shimizu, Jianyu Chen:
Chance-Constrained Iterative Linear-Quadratic Stochastic Games. - Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. - George Tsialiamanis, Max D. Champneys, Nikolaos Dervilis, David J. Wagg, Keith Worden:
On the application of generative adversarial networks for nonlinear modal analysis. - Cory Braker Scott:
Differentiable IFS Fractals. - Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu:
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features. - Guangyi Zhang, Nikolaj Tatti, Aristides Gionis:
Optimal deletion-robust coreset for submodular maximization. - Boyan Jiang, Yinda Zhang, Xingkui Wei, Xiangyang Xue, Yanwei Fu:
H4D: Human 4D Modeling by Learning Neural Compositional Representation. - Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia:
A Unified Query-based Paradigm for Point Cloud Understanding. - Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. - Emanuel Lacic, Dominik Kowald:
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance. - Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu:
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. - Eugenio Angriman, Fabian Brandt-Tumescheit, Leon Franke, Alexander van der Grinten, Henning Meyerhenke:
Interactive Visualization of Protein RINs using NetworKit in the Cloud. - Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Weiming Zhang, Nenghai Yu:
Self-supervised Transformer for Deepfake Detection. - James Gallicchio, Yong Kiam Tan, Stefan Mitsch, André Platzer:
Implicit Definitions with Differential Equations for KeYmaera X (System Description). - Michiaki Tatsubori, Takao Moriyama, Tatsuya Ishikawa, Paolo Fraccaro, Anne Jones, Blair Edwards, Julian Kuehnert, Sekou L. Remy:
Deep Temporal Interpolation of Radar-based Precipitation. - John P. Lalor, Pedro Rodríguez:
py-irt: A Scalable Item Response Theory Library for Python. - Véronique Bruyère, Baptiste Fievet, Jean-François Raskin, Clément Tamines:
Stackelberg-Pareto Synthesis (Extended Version). - Ishaan Mehta, Hao-Ya Hsueh, Nikolaos Kourtzanidis, Mateusz Brylka, Sajad Saeedi:
Far-UVC Disinfection with Robotic Mobile Manipulator. - Yiming Liu, Raz Leib, William Dudley, Ali Shafti, A. Aldo Faisal, David W. Franklin:
The role of haptic communication in dyadic collaborative object manipulation tasks. - Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip:
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks. - Hantao Cui, Yichen Zhang:
Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power Systems. - Soheil Esmaeilzadeh, Brian Williams, Davood Shamsi, Onar Vikingstad:
Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering. - I-Cheng Lin, Carlee Joe-Wong, Osman Yagan:
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. - Chetan Gupta, Juho Hirvonen, Janne Korhonen, Jan Studený, Jukka Suomela:
Sparse matrix multiplication in the low-bandwidth model. - Ishaan Mehta, Sajad Saeedi:
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP. - Jiayi Wei, Jarrett Holtz, Isil Dillig, Joydeep Biswas:
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations. - Andreas Cap, Kaibo Hu:
BGG sequences with weak regularity and applications. - Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Evolving Curricula with Regret-Based Environment Design. - Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy:
An Analysis of Ensemble Sampling. - Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang:
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising. - Arun Padakandla:
Communicating over a Classical-Quantum MAC with State Information Distributed at Senders. - Yuanshun Yao, Chong Wang, Hang Li:
Counterfactually Evaluating Explanations in Recommender Systems. - Paul Pu Liang, Yiwei Lyu, Xiang Fan, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Ruslan Salakhutdinov:
HighMMT: Towards Modality and Task Generalization for High-Modality Representation Learning. - Joachim Neu, Ertem Nusret Tas, David Tse:
Two Attacks On Proof-of-Stake GHOST/Ethereum. - Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo:
Protecting Celebrities with Identity Consistency Transformer. - Venkat Kodali, Daniel Berleant:
Recent, rapid advancement in visual question answering architecture: a review. - Wei Dai, Daniel Berleant:
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. - Ashwin Rao, Fred Morstatter, Kristina Lerman:
Partisan Asymmetries in Exposure to Misinformation. - Joan Bruna, Benjamin Peherstorfer, Eric Vanden-Eijnden:
Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations. - K. K. Gajjar, Kaustav Dey, A. M. Kulkarni:
Simplified Stability Assessment of Power Systems with Variable-Delay Wide-Area Damping Control. - Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen, Kasun Amarasinghe, Rayid Ghani, Alison J. Heppenstall, Nik Lomax, Nick Malleson, Martin T. O'Reilly, Sebastian J. Vollmer:
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. - Ian Nunes, Matheus Barros Pereira, Hugo N. Oliveira, Jefersson A. dos Santos, Marcus Poggi:
Conditional Reconstruction for Open-set Semantic Segmentation. - Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
ePA*SE: Edge-based Parallel A* for Slow Evaluations. - Laura Jarin-Lipschitz, Xu Liu, Yuezhan Tao, Vijay Kumar:
Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests. - Leonel Quinteros, Enrique García-Macías, Emilio Martínez-Pañeda:
Micromechanics-based phase field fracture modelling of CNT composites. - Giannis Haralabopoulos, Ioannis Anagnostopoulos:
Privacy-Aware Crowd Labelling for Machine Learning Tasks. - Yasmeen Anjeer Alshehhi, Mohamed Almorsy Abdelrazek, Alessio Bonti:
Personal Data Visualisation on Mobile Devices: A Systematic Literature Review. - Ville Paananen, Mohammad Sina Kiarostami, Lik-Hang Lee, Tristan Braud, Simo Hosio:
From Digital Media to Empathic Reality: A Systematic Review of Empathy Research in Extended Reality Environments. - Nikita Astrakhantsev, Deepak Chittajallu, Nabeel Kaushal, Vladislav Mokeev:
Stable and Semi-stable Sampling Approaches for Continuously Used Samples. - Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. - Saeed Alaei, Ali Makhdoumi, Azarakhsh Malekian, Rad Niazadeh:
Descending Price Auctions with Bounded Number of Price Levels and Batched Prophet Inequality. - Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny:
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. - Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini:
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. - Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. - Julian Nubert, Shehryar Khattak, Marco Hutter:
Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots. - Nail Ibrahimli, Hugo Ledoux, Julian F. P. Kooij, Liangliang Nan:
DDL-MVS: Depth Discontinuity Learning for MVS Networks. - Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam, Foyjul Islam Raju:
Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques. - Zhou Lu, Wenhan Xia, Sanjeev Arora, Elad Hazan:
Adaptive Gradient Methods with Local Guarantees. - Jacob J. Korczyk, Daniel Posada, Aryslan Malik, Troy Henderson:
Modeling of an On-Orbit Maintenance Robotic Arm Test-Bed. - Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman:
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. - Franklin Josue Ticona Coaquira:
Design and comparison of two linear controllers with precompensation gain for the Quadruple inverted pendulum. - Omar Kammouh, María Nogal, Ruud Binnekamp, Rogier Wolfert:
Multi-system intervention optimization for interdependent infrastructure. - Sandeep S. Kulkarni, Sanjay M. Joshi:
Effect of Timing Error: A Case Study of Navigation Camera. - Xueyong Zhang, Arindam Basu:
A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS. - Chaolin Rao, Huangjie Yu, Haochuan Wan, Jindong Zhou, Yueyang Zheng, Yu Ma, Anpei Chen, Minye Wu, Binzhe Yuan, Pingqiang Zhou, Xin Lou, Jingyi Yu:
ICARUS: A Lightweight Neural Plenoptic Rendering Architecture. - Peng Zhou, Donguk Choi, Jason Kamran Eshraghian, Sung-Mo Kang:
A Fully Memristive Spiking Neural Network with Unsupervised Learning. - Recep Can Yavas, Victoria Kostina, Michelle Effros:
Third-order Analysis of Channel Coding in the Moderate Deviations Regime. - Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Sung-Mo Kang:
SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks. - (Withdrawn) SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network.
- S. Ashwin Renganathan, Vishwas Rao, Ionel Michael Navon:
CAMERA: A Method for Cost-aware, Adaptive, Multifidelity, Efficient Reliability Analysis. - Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat:
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Qifan Wang, Shujie Cui, Lei Zhou, Ocean Wu, Yonghua Zhu, Giovanni Russello:
EnclaveTree: Privacy-preserving Data Stream Training and Inference Using TEE. - Mo Zhou, Vishal M. Patel:
Enhancing Adversarial Robustness for Deep Metric Learning. - Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski:
Near-Optimal Correlation Clustering with Privacy. - Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir:
3D Common Corruptions and Data Augmentation. - Xiangyu Gao, Sihao Ding, Karl Vanas, Dasari Harshavardhan Reddy, Henrik Söderlund:
Deformable Radar Polygon: A Lightweight and Predictable Occupancy Representation for Short-range Collision Avoidance. - Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon:
Continuous-Time Meta-Learning with Forward Mode Differentiation. - Jan Komenda, Tomás Masopust:
Hierarchical and Modular Supervisory Control under Partial Observation: Normality. - Danial Maleki, Hamid R. Tizhoosh:
LILE: Look In-Depth before Looking Elsewhere - A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives. - Henrique Ferrolho, Vladimir Ivan, Wolfgang Merkt, Ioannis Havoutis, Sethu Vijayakumar:
RoLoMa: Robust Loco-Manipulation for Quadruped Robots with Arms. - Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Learning Stochastic Parametric Differentiable Predictive Control Policies. - Negar Nejatishahidin, Pooya Fayyazsanavi, Jana Kosecka:
Object Pose Estimation using Mid-level Visual Representations. - Jiankai Sun, Xin Yang, Yuanshun Yao, Chong Wang:
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning. - Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen:
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. - Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafese, Elizabeth Anne Watkins:
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation. - Felix Jimenez, Matthias Katzfuss:
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. - Lobna Abuserrieh, Manar H. Alalfi:
A Survey of Analysis Methods for Security and Safety verification in IoT Systems. - Toshitaka Matsuki:
Deep Q-network using reservoir computing with multi-layered readout. - Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, Shihong Xia:
Spatial-Temporal Gating-Adjacency GCN for Human Motion Prediction. - Julius Ceasar Aguma:
A Matching Mechanism for Provision of Housing to the Marginalized. - Zachary Susskind, Aman Arora, Igor Dantas dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvão França, Maurício Breternitz Jr., Lizy K. John:
Weightless Neural Networks for Efficient Edge Inference. - Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge:
Modularity of the ABCD Random Graph Model with Community Structure. - Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye:
MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning. - Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou:
PetsGAN: Rethinking Priors for Single Image Generation. - Grigoris Velegkas, Zhuoran Yang, Amin Karbasi:
The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches. - Braeden C. Benedict, Mohammad Meraj Ghanbari, Rikky Muller:
Phased array beamforming methods for powering biomedical ultrasonic implants. - Feng Shi, Yizhong Sun, Haibiao Zheng:
Ensemble Domain Decomposition Algorithm for the Fully-mixed Random Stokes-Darcy Model with the Beavers-Joseph Interface Conditions. - Yong-Jin Kim, Yong Ho Yon, Son-Gyong Kim:
Disperse rotation operator DRT and use in some stream ciphers. - Shubham Singh, Ryan P. Russell, Patrick M. Wensing:
Closed-Form Second-Order Partial Derivatives of Rigid-Body Inverse Dynamics. - Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh:
The Dynamics of Q-learning in Population Games: a Physics-Inspired Continuity Equation Model. - Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan:
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation. - Yong-Jin Kim, Dok-Jun An, Son-Gyong Kim, Kum-Sok Sin, You-Jin Jong, Ok-Chol Ri:
Security Analysis of Two Recent Pairing-Free Certificateless Two-Party Authenticated Key Agreement Protocols for Smart Grid. - Yao Yao, Qihang Lin, Tianbao Yang:
Large-scale Optimization of Partial AUC in a Range of False Positive Rates. - Tianqi Li, Lucas W. Krakow, Swaminathan Gopalswamy:
SMA-NBO: A Sequential Multi-Agent Planning with Nominal Belief-State Optimization in Target Tracking. - Thang Vu, Kookhoi Kim, Tung Minh Luu, Xuan Thanh Nguyen, Chang D. Yoo:
SoftGroup for 3D Instance Segmentation on Point Clouds. - Danial Amini, Ehsan Haghighat, Ruben Juanes:
Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. - Zheng Yuan, Chuanqi Tan, Songfang Huang:
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. - Changhong Fu, Sihang Li, Xinnan Yuan, Junjie Ye, Ziang Cao, Fangqiang Ding:
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking. - Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. - Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt:
An Open Challenge for Inductive Link Prediction on Knowledge Graphs. - Zhi Hou, Baosheng Yu, Dacheng Tao:
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. - Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy:
Semi-supervised Learning using Robust Loss. - Nan Sun, Chang-Tsun Li, Hin Chan, Md Zahidul Islam, Md. Rafiqul Islam, Warren Armstrong:
How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond. - Babu R. Dawadi, Danda B. Rawat, Shashidhar R. Joshi, Pietro Manzoni:
Towards Smart Networking with SDN Enabled IPv6 Network. - Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. - Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. - Pelin G. Geredeli, Leo G. Rebholz, Duygu Vargun, Ahmed Zytoon:
Improved convergence of the Arrow-Hurwicz iteration for the Navier-Stokes equation via grad-div stabilization and Anderson acceleration. - Khawar Islam:
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work. - Shyam Narayanan:
Private High-Dimensional Hypothesis Testing. - Gautham Narayan Narasimhan, Kai Zhang, Ben Eisner, Xingyu Lin, David Held:
Self-supervised Transparent Liquid Segmentation for Robotic Pouring. - Bo Zhang, Tao Chen, Bin Wang:
Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation. - Chen Zhao, Merey Ramazanova, Mengmeng Xu, Bernard Ghanem:
SegTAD: Precise Temporal Action Detection via Semantic Segmentation. - Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold:
QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori:
Rethinking the role of normalization and residual blocks for spiking neural networks. - Keenan Albee, Monica Ekal, Brian Coltin, Rodrigo M. M. Ventura, Richard Linares, David W. Miller:
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement with On-Orbit Validation. - Ziyi Zhou, Bruce Wingo, Nathan Boyd, Seth Hutchinson, Ye Zhao:
Momentum-Aware Trajectory Optimization and Control for Agile Quadrupedal Locomotion. - Ignacio Ojea Quintana, Marc Cheong, Mark Alfano, Ritsaart Reimann, Colin Klein:
Automated clustering of COVID-19 anti-vaccine discourse on Twitter. - Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, Amir Yehudayoff:
A Characterization of Multiclass Learnability. - Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, Juneyoung Park:
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking. - Sverker Rasmuson, Erik Sintorn, Ulf Assarsson:
Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields. - Ibrahim Khan, Thai Van Nguyen, Xincheng Dai, Ruck Thawonmas:
DareFightingICE Competition: A Fighting Game Sound Design and AI Competition. - Zijie Jiang, Hajime Taira, Naoyuki Miyashita, Masatoshi Okutomi:
Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB and Inferred Depth. - Nilotpal Sinha, Kuan-Wen Chen:
Neural Architecture Search using Progressive Evolution. - Zuheng Ming, Zitong Yu, Musab Qassem Al-Ghadi, Muriel Visani, Muhammad Muzzamil Luqman, Jean-Christophe Burie:
ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection. - You Li, Bei Lin, Binli Luo, Ning Gui:
Graph Representation Learning Beyond Node and Homophily. - Ming Tang, Liuqiang Zhong, Yingying Xie:
A modified weak Galerkin method for H(curl)-elliptic problem. - Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou:
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. - Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar:
Data Augmentation as Feature Manipulation: a story of desert cows and grass cows. - Yingqian Wang, Longguang Wang, Zhengyu Liang, Jun-Gang Yang, Wei An, Yulan Guo:
Occlusion-Aware Cost Constructor for Light Field Depth Estimation. - Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi:
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction. - Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. - Laurent Théry:
A Formalisation of Algorithms for Sorting Network. - Wei-Fan Hu, Yi-Jun Shih, Te-Sheng Lin, Ming-Chih Lai:
A shallow physics-informed neural network for solving partial differential equations on surfaces. - Binjie Zhang, Yixiao Ge, Yantao Shen, Shupeng Su, Fanzi Wu, Chun Yuan, Xuyuan Xu, Yexin Wang, Ying Shan:
Towards Universal Backward-Compatible Representation Learning. - Zhibo Wang, Xiaowei Dong, Henry Xue, Zhifei Zhang, Weifeng Chiu, Tao Wei, Kui Ren:
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models. - Yunke Wang, Bo Du, Chang Xu:
Multi-Tailed Vision Transformer for Efficient Inference. - Bernadett Kiss, Emre Cemal Gonen, An Mo, Alexandra Buchmann, Daniel Renjewski, Alexander Badri-Spröwitz:
Investigation on a bipedal robot: Why do humans need both Soleus andGastrocnemius muscles for ankle push-off during walking? - Tong Zhang, Shuai Wang, Yufan Zhuang, Changsheng You, Miaowen Wen, Yik-Chung Wu:
Reconfigurable Intelligent Surface Assisted OFDM Relaying: Subcarrier Matching with Balanced SNR. - Stan Wong, Bin Han, Hans D. Schotten:
5G Network Slice Isolation. - Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D Human Motion Prediction: A Survey. - Rashid Khan, M. Shujah Islam, Khadija Kanwal, Mansoor Iqbal, Md. Imran Hossain, Zhongfu Ye:
A Deep Neural Framework for Image Caption Generation Using GRU-Based Attention Mechanism. - Marco Bolignari, An Mo, Marco Fontana, Alexander Badri-Spröwitz:
Diaphragm Ankle Actuation for Efficient Series Elastic Legged Robot Hopping. - Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. - Yeshwanth Cherapanamjeri, Jelani Nelson:
Uniform Approximations for Randomized Hadamard Transforms with Applications. - Agata Ciabattoni, Timo Lang, Revantha Ramanayake:
A theory of cut-restriction: first steps. - Ye Yuan, Xiao Liu, Wondimu Dikubab, Hui Liu, Zhilong Ji, Zhongqin Wu, Xiang Bai:
Syntax-Aware Network for Handwritten Mathematical Expression Recognition. - Hannes Fassold:
AdaFamily: A family of Adam-like adaptive gradient methods. - Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. - Jannis Kurtz:
Ensemble Methods for Robust Support Vector Machines using Integer Programming.