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ORCIDCoRR, November 2022
- Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati:
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. - Lei Wang
, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. - Bianka Bakullari, Wil M. P. van der Aalst:
High-Level Event Mining: A Framework. - Xincao Xu, Kai Liu, Penglin Dai, Hao Zhang, Ke Xiao:
Maximizing Quality and Minimizing Cost for VCPS in ISAC-Based Vehicular Networks: A Deep Reinforcement Learning Approach. - Everlyn Asiko Chimoto, Bruce A. Bassett:
Very Low Resource Sentence Alignment: Luhya and Swahili. - Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. - Edward Abel, Sajid Siraj:
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach. - Petar Radanliev, David De Roure:
New and emerging forms of data and technologies: literature and bibliometric review. - A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain:
Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues. - John J. Forbus, Daniel Berleant:
Discrete-Event Simulation in Healthcare Settings: a Review. - Afsana Rahman, Ruhul Amin:
Technology and COVID-19: How Reliant is Society on Technology? - Sarunas Barauskas, Roberto Ripamonti, Emanuele Ragnoli:
Rogue Protocol: A Framework For NFT Royalties Tokenisation. - Paul Scharre, Megan Lamberth:
Artificial Intelligence and Arms Control. - Braxton Rolle, Ravi Kiran:
COVID-19 Infection Exposure to Customers Shopping during Black Friday. - Roba Alsaigh, Rashid Mehmood, Iyad A. Katib:
AI Explainability and Governance in Smart Energy Systems: A Review. - José González Cabañas, Patricia Callejo, Rubén Cuevas, Steffen Svartberg, Tommy Torjesen, Ángel Cuevas, Antonio Pastor, Mikko Kotila:
CarbonTag: A browser-based method for approximating energy consumption of online ads. - Oluwatosin Samuel Falebita:
Secure Web-Based Student Information Management System. - Sergio R. Coria, Luz M. Garcia-Garcia:
Digital divide among the States of Mexico: a comparison 2010-2020. - A. T. M. Mustafa Masud Chowdhury, Jeenat Sultana, Md Sakib Ullah Sourav:
IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System in Major Bangladeshi Cities. - Gizem Gezici:
Automated Gender Bias Evaluation in YouTube. - Ankush Chakrabarty:
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach. - Natalie Klein, Amber J. Day, Harris Mason, Michael W. Malone, Sinead A. Williamson:
Denoising neural networks for magnetic resonance spectroscopy. - Soumyanil Banerjee, Ming Dong, Weisong Shi:
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting. - Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Fernando V. Ravelo, Pedro S. Peixoto, Martin Schreiber:
An explicit exponential time integrator based on Faber polynomials and its application to seismic wave modelling. - Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. - Vung Pham, Du Nguyen, Christopher Donan:
Road Damages Detection and Classification with YOLOv7. - Kevin Weinberger, Robert-Jeron Reifert, Aydin Sezgin, Ertugrul Basar:
RIS-enhanced Resilience in Cell-Free MIMO. - Daniel P. Benalcazar, Juan E. Tapia, Sebastian Gonzalez, Christoph Busch:
Synthetic ID Card Image Generation for Improving Presentation Attack Detection. - Shangchen Han, Po-Chen Wu, Yubo Zhang, Beibei Liu, Linguang Zhang, Zheng Wang, Weiguang Si, Peizhao Zhang, Yujun Cai, Tomas Hodan, Randi Cabezas, Luan Tran, Muzaffer Akbay, Tsz-Ho Yu, Cem Keskin, Robert Wang:
UmeTrack: Unified multi-view end-to-end hand tracking for VR. - Stephan Hilb, Andreas Langer:
A General Decomposition Method for a Convex Problem Related to Total Variation Minimization. - Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo:
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI). - Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. - Théo Morales, Gerard Lacey:
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? - Sangdon Park, Xiang Cheng, Taesoo Kim:
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning. - Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. - Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Xinjian Li, Ye Jia, Chung-Cheng Chiu:
Textless Direct Speech-to-Speech Translation with Discrete Speech Representation. - Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of Non-semantic Speech Tasks with Pretrained Models. - Ingo Wald:
GPU-friendly, Parallel, and (Almost-)In-Place Construction of Left-Balanced k-d Trees. - Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? - Christian Møller Jensen, Mathias C. Frederiksen, Carsten Skovmose Kallesøe, Jeppe N. Jensen, Laurits H. Andersen, Roozbeh Izadi-Zamanabadi:
HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating. - Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera:
TaTa: A Multilingual Table-to-Text Dataset for African Languages. - Randy J. Chase, David R. Harrison, Gary M. Lackmann, Amy McGovern:
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. - Titas Chakraborty, Akshay Bhagat, Henggang Cui:
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. - Yousu Chen, Liwei Wang, Xiaoyuan Fan, Dexin Wang, James Ogle:
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid. - Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. - Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina:
Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules. - Martin Lumiste, Andrei Ilie:
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge. - Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford:
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. - Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr:
Decorrelating ReSTIR Samplers via MCMC Mutations. - Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu:
Improving Fairness in Image Classification via Sketching. - François Charton:
What is my math transformer doing? - Three results on interpretability and generalization. - Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. - Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le:
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition. - Rayan Wali:
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems. - Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus:
Learning to Navigate Wikipedia by Taking Random Walks. - Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. - Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. - Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang:
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models. - Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik:
Adaptive Compression for Communication-Efficient Distributed Training. - Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt:
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. - Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal, Taha Ceritli, Ernesto Jiménez-Ruiz, Christopher K. I. Williams:
AI Assistants: A Framework for Semi-Automated Data Wrangling. - Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. - Bernd Pfrommer:
Frequency Cam: Imaging Periodic Signals in Real-Time. - Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. - Zhenghua Xu, Changhong Deng, Qiuling Yang:
A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control. - Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao:
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection. - Yingjie Xue, Di Jin, Maurice Herlihy:
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. - Nouman Khan, Mehrdad Moharrami, Vijay G. Subramanian:
Rarest-First with Probabilistic-Mode-Suppression. - Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas:
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows. - Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. - Feiyang Han, Yimin Wei, Pengpeng Xie:
Tensor Regularized Total Least Squares Methods with Applications to Image and Video Deblurring. - Junqiang Huang, Zichao Guo:
Pixel-Wise Contrastive Distillation. - Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke:
Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms. - Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan:
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation. - Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Hee Jun Yang, Hyea Hyun Kim:
Additive Schwarz algorithms for neural network approximate solutions. - Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler:
Transfer Learning with Kernel Methods. - Lei Kou, Chuang Liu, Guowei Cai, Zhe Zhang, Jia-Ning Zhou, Xue-Mei Wang:
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features. - Zhenyao He, Wei Xu, Hong Shen, Derrick Wing Kwan Ng, Yonina C. Eldar, Xiaohu You:
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization. - Weida Wang:
Survey on Source-coding technique. - Juni Kim, Zhikang Dong, Eric Guan, Judah Rosenthal, Shi Fu, Miriam Rafailovich, Pawel Polak:
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding. - Federico Sabbatini, Roberta Calegari:
Clustering-Based Approaches for Symbolic Knowledge Extraction. - Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma:
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. - Federico Sabbatini, Roberta Calegari:
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper. - Tomokatsu Takahashi, Masanori Yamada, Yuki Yamanaka, Tomoya Yamashita:
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. - Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell:
Adversarial Policies Beat Professional-Level Go AIs. - Jiyun Kim, Byounghan Lee, Kyung-Ah Sohn:
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection. - Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. - Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes:
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Wei Peng, Ziyuan Qin, Yue Hu, Yuqiang Xie, Yunpeng Li:
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation. - James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
End-to-End Optimization and Learning for Multiagent Ensembles. - Jiashuo Wang, Yi Cheng, Wenjie Li:
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation. - Wei Kang, Daniel M. Tartakovsky, Apoorv Srivastava:
Feature-Informed Data Assimilation - Definitions and Illustrative Examples. - Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. - Yeqing Lin, Jing Liu, Rongen Dong, Xun Chen, Yue Wu, Feng Shu, Jiangzhou Wang:
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks. - Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. - Jinyin Chen, Jie Ge, Haibin Zheng:
ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph. - Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma:
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection. - Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad:
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. - Tongkun Guan, Wei Shen:
Self-supervised Character-to-Character Distillation. - Sepideh Mahabadi, Thuy-Duong Vuong:
Composable Coresets for Constrained Determinant Maximization and Beyond. - Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Ziqiang Cao, Sujian Li, Hua Wu:
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. - Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. - Weizhu Bao, Yifei Li:
A structure-preserving parametric finite element method for geometric flows with anisotropic surface energy. - Minjia Shi, Denis S. Krotov, Ferruh Özbudak:
Constructing MRD codes by switching. - Enwei Zhu, Yiyang Liu, Ming Jin, Jinpeng Li:
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges. - Aritra Dhar, Supraja Sridhara, Shweta Shinde, Srdjan Capkun, Renzo Andri:
Empowering Data Centers for Next Generation Trusted Computing. - Masud An Nur Islam Fahim, Jani Boutellier:
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization. - Youfang Han, Chunping Li:
Entity Matching by Pool-based Active Learning. - Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi:
HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Ashkan Javaherian:
Hessian-inversion-free ray-born inversion for high-resolution quantitative ultrasound tomography. - Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. - Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. - Jinghe Wang, Wankai Tang, Jing Cheng Liang, Lei Zhang, Jun Yan Dai, Xiao Li, Shi Jin, Qiang Cheng, Tie Jun Cui:
Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation. - Chuan-gang Kang:
The standard forms of the Kaczmarz-Tanabe type methods and their convergence theory. - Ben Kenwright:
Real-Time Character Inverse Kinematics using the Gauss-Seidel Iterative Approximation Method. - Kamran Ali Khan Niazi, Marta Victoria:
Comparative analysis of PV configurations for agrivoltaic systems in Europe. - Taichi Inoue, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa:
Computational Power of a Single Oblivious Mobile Agent in Two-Edge-Connected Graphs. - Alexandra Vioni, Georgia Maniati, Nikolaos Ellinas, June Sig Sung, Inchul Hwang, Aimilios Chalamandaris, Pirros Tsiakoulis:
Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features. - Seyedali Tabaeiaghdaei, Simon Scherrer, Adrian Perrig:
Carbon Footprints on Inter-Domain Paths: Uncovering CO2 Tracks on Global Networks. - Christian Schlauch, Nadja Klein, Christian Wirth:
Informed Priors for Knowledge Integration in Trajectory Prediction. - Haiming Yao, Xue Wang, Wenyong Yu:
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector. - Akanksha Saran, Kush Desai, Mai Lee Chang, Rudolf Lioutikov, Andrea Thomaz, Scott Niekum:
Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. - Ayse Yilmazer-Metin:
sRSP: GPUlarda Asimetrik Senkronizasyon Icin Yeni Olceklenebilir Bir Cozum. - Zheng Li, Austen Rainer:
Academic Search Engines: Constraints, Bugs, and Recommendation. - Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. - Sushmitha Shree S, Avijit Mandal, Avhishek Chatterjee, Krishna P. Jagannathan:
Towards Maximizing Nonlinear Delay Sensitive Rewards in Queuing Systems. - Daniel Gilo, Shaul Markovitch:
Anytime Generation of Counterfactual Explanations for Text Classification. - Prabhant Singh, Joaquin Vanschoren:
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport. - Zheng Li, Nicolás Saldías-Vallejos, María Andrea Rodríguez, Austen Rainer:
On Kubernetes-aided Federated Database Systems. - Samer Fatayri, Kirill Serykh, Egor Gumin:
What drives a goalkeepers' decisions? - Konstantinos Markopoulos, Georgia Maniati, Georgios Vamvoukakis, Nikolaos Ellinas, Karolos Nikitaras, Konstantinos Klapsas, Georgios Vardaxoglou, Panos Kakoulidis, June Sig Sung, Inchul Hwang, Aimilios Chalamandaris, Pirros Tsiakoulis, Spyros Raptis:
Generating Gender-Ambiguous Text-to-Speech Voices. - Prabhant Singh, Joaquin Vanschoren:
Automated Imbalanced Learning. - Elise Deen, Leo van Iersel, Remie Janssen, Mark Jones, Yuki Murakami, Norbert Zeh:
A Near-Linear Kernel for Two-Parsimony Distance. - Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen:
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings. - Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo:
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. - Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
The future is different: Large pre-trained language models fail in prediction tasks. - Jianwu Fang, Fan Wang, Peining Shen, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. - Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
Reasoning on Property Graphs with Graph Generating Dependencies. - Alexey Mironov, Ilnur Khuziev:
Optimization of Oblivious Decision Tree Ensembles Evaluation for CPU. - Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Hamid Amiriara:
Comprehensive Study on Railway Communications Systems to Support Hyperloop. - Lubomir T. Dechevsky, Kristoffer M. Tangrand:
Wavelet Neural Networks versus Wavelet-based Neural Networks. - Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang:
Oracle-guided Contrastive Clustering. - Hugo Alcaraz-Herrera, John Cartlidge:
Using coevolution and substitution of the fittest for health and well-being recommender systems. - Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo:
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance. - Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Neil Phillips, Andrew Adamatzky:
Learning in colloids: Synapse-like ZnO + DMSO colloid. - Zhicheng Wang, Tianyu Shi, Liyin Xiao, Cong Liu:
Order-sensitive Neural Constituency Parsing. - Xiaoqiong Ran, Rong Luo:
Two classes of subfield codes of linear codes. - Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, Xiaofeng Shi:
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding. - Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha:
Zero Day Threat Detection Using Metric Learning Autoencoders. - Juan Jesus Ojeda-Castelo, Jose A. Piedra-Fernández, Luis Iribarne:
A device-interaction model for users with special needs. - Hasna Nhaila, Elkebir Sarhrouni, Ahmed Hammouch:
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information. - Youngjoon Jang, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon:
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition. - Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. - Michael G. Xevgenis, Dimitrios Kogias, Ioannis Christidis, Charalampos Z. Patrikakis, Helen C. Leligou:
Evaluation of a blockchain-enabled resource management mechanism for NGNs. - Guillaume Bellegarda, Auke Jan Ijspeert:
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion. - Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang:
Amplifying Membership Exposure via Data Poisoning. - Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. - Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Exploring Effects of Computational Parameter Changes to Image Recognition Systems. - Julius von Kügelgen, Abdirisak Mohamed, Sander Beckers:
Backtracking Counterfactuals. - Stephanie Stacy, Alfredo Gabaldon, John Karigiannis, James Kubricht, Peter Tu:
Understanding the Unforeseen via the Intentional Stance. - Taeuk Kim:
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. - Yulan Gao, Yue Xiao, Xianfu Lei, Qiaonan Zhu, Dusit Niyato, Kai-Kit Wong, Pingzhi Fan, Rose Qingyang Hu:
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles. - Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. - Hongrui Jin:
From Information to Affirmation: An Investigation on the Echo Chamber Effect from YouTube Comments under Technology Product Reviews. - Robert R. Tucci:
Causal DAG extraction from a library of books or videos/movies. - Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. - Marco Comunità, Christian J. Steinmetz, Huy Phan, Joshua D. Reiss:
Modelling black-box audio effects with time-varying feature modulation. - Raysa M. Benatti, Camila M. L. Villarroel, Sandra Avila, Esther Luna Colombini, Fabiana C. Severi:
Should I disclose my dataset? Caveats between reproducibility and individual data rights. - Fabio Nobile, Tommaso Vanzan:
A combination technique for optimal control problems constrained by random PDEs. - Alireza Sheikh, Jac Romme, Jochem Govers, Amirashkan Farsaei, Christian Bachmann:
Phase-based Ranging in Narrowband Systems with Missing/Interfered Tones. - Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren:
Self-Supervised Intensity-Event Stereo Matching. - Keisuke Toyama, Katsuhito Sudoh, Satoshi Nakamura:
E2E Refined Dataset. - Hongguang Sun, Yajun Ma, Tony Q. S. Quek, Xijun Wang, Kun Guo, Hongming Zhang:
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis. - Hamza El-Kebir, Junren Ran, Martin Ostoja-Starzewski, Richard Berlin, Joseph Bentsman, Leonardo P. Chamorro:
Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing. - Yanran Guan, Andrei Chubarau, Ruby Rao, Derek Nowrouzezahrai:
Learning Neural Implicit Representations with Surface Signal Parameterizations. - Xingchen Song, Di Wu, Zhiyong Wu, Binbin Zhang, Yuekai Zhang, Zhendong Peng, Wenpeng Li, Fuping Pan, Changbao Zhu:
TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty. - Karolos Nikitaras, Konstantinos Klapsas, Nikolaos Ellinas, Georgia Maniati, June Sig Sung, Inchul Hwang, Spyros Raptis, Aimilios Chalamandaris, Pirros Tsiakoulis:
Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis. - Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. - Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li:
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. - Xinmeng Huang, Kun Yuan:
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks. - Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis:
Deep Learning for Global Wildfire Forecasting. - Erixhen Sula, Lizhong Zheng:
On the Semi-supervised Expectation Maximization. - Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. - João Marques-Silva:
Logic-Based Explainability in Machine Learning. - Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna M. Kruspe, Karam Abdulahhad:
Geo-Information Harvesting from Social Media Data. - José Vargas Quiros, Laura Cabrera Quiros, Hayley Hung:
No-audio speaking status detection in crowded settings via visual pose-based filtering and wearable acceleration. - Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin:
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs. - John Paul P. Miranda, Julieta M. Umali, Aileen P. de Leon:
Datasets of Fire and Crime Incidents in Pampanga, Philippines. - (Withdrawn) True Concurrency Can Be Easy.
- Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. - Francesco Giuliari, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang:
Leveraging commonsense for object localisation in partial scenes. - Ashish Tiwari, Sresth Tosniwal, Shanmuganathan Raman:
Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces. - Edward W. He, Daniel Tolessa, Ashley Suh, Remco Chang:
Analysis Without Data: Teaching Students to Tackle the VAST Challenge. - Chanakya Ekbote, Moksh Jain, Payel Das, Yoshua Bengio:
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions. - Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. - Subhyal Bin Iqbal, Salman Nadaf, Ahmad Awada, Umur Karabulut, Philipp Schulz, Gerhard P. Fettweis:
On the Analysis and Optimization of Fast Conditional Handover with Hand Blockage for Mobility. - David Nukrai, Ron Mokady, Amir Globerson:
Text-Only Training for Image Captioning using Noise-Injected CLIP. - Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone:
Event Tables for Efficient Experience Replay. - Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus:
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US. - Chan-Jan Hsu, Ho-Lam Chung, Hung-yi Lee, Yu Tsao:
T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5. - Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand:
Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. - Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt:
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small. - Ernesto Gomez, Keith E. Schubert, Khalil Dajani:
Algebra of N-event synchronization. - Byunghyun Ban:
Mixed Reality Interface for Digital Twin of Plant Factory. - Armin Salimi-Badr:
UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification. - Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. - Ayal Schwartz, Sharon Gannot, Shlomo E. Chazan:
Magnitude or Phase? A Two Stage Algorithm for Dereverberation. - Taha Entesari, Sina Sharifi, Mahyar Fazlyab:
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds. - Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski:
A Simple, Yet Effective Approach to Finding Biases in Code Generation. - Prasanna Sriganesh, Namya Bagree, Bhaskar Vundurthy, Matthew Travers:
Fast Staircase Detection and Estimation using 3D Point Clouds with Multi-detection Merging for Heterogeneous Robots. - Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu:
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model. - Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. - Fengjiao Liu, George Rapakoulias, Panagiotis Tsiotras:
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems. - Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. - Lars Hummelgren, John Wikman, Oscar Eriksson, Philipp Haller, David Broman:
Expression Acceleration: Seamless Parallelization of Typed High-Level Languages. - Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar:
Composite Feature Selection using Deep Ensembles. - Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar:
Preserving In-Context Learning ability in Large Language Model Fine-tuning. - Alexander C. Nwala, Alessandro Flammini, Filippo Menczer:
A General Language for Modeling Social Media Account Behavior. - Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou:
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. - Nandar Hlaing, Pablo G. Morato, Francisco de Nolasco Santos, Wout Weijtjens, Christof Devriendt, Philippe Rigo:
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks. - Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. - Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On the detection of synthetic images generated by diffusion models. - Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt:
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation. - Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li:
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. - Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva:
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Zhixin Feng, Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. - Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. - Matteo Croci, Judit Muñoz-Matute:
Exploiting Kronecker structure in exponential integrators: fast approximation of the action of φ-functions of matrices via quadrature. - Sandra May, Ferdinand Thein:
Explicit-Implicit Domain Splitting for Two Phase Flows with Phase Transition. - Alexander Braun, Thomas Kesselheim:
Simplified Prophet Inequalities for Combinatorial Auctions. - Mark J. Panaggio, Mike Fang, Hyunseung Bang, Paige A. Armstrong, Alison M. Binder, Julian E. Grass, Jake Magid, Marc Papazian, Carrie K. Shapiro-Mendoza, Sharyn E. Parks:
Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. - Anran Hao, Siu Cheung Hui, Jian Su:
Semantic Pivoting Model for Effective Event Detection. - Sylvain Guillemot:
Alternative polynomial-time algorithm for Bipartite Matching. - Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations. - Yuhao Jiang, Fuchen Chen, Daniel M. Aukes:
Tunable Dynamic Walking via Soft Twisted Beam Vibration. - Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao:
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. - Bartlomiej Przybylski, Maciej Pawlik, Pawel Zuk, Bartlomiej Lagosz, Maciej Malawski, Krzysztof Rzadca:
Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk. - Jomin Jose, Andrew J., Kumudha Raimond, Shweta Vincent:
SleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention. - Connor Kenyon, Collin D. Capano:
Apple Silicon Performance in Scientific Computing. - Brandon Yushan Feng, Susmija Jabbireddy, Amitabh Varshney:
VIINTER: View Interpolation with Implicit Neural Representations of Images. - Qiaoqiao Ren, Tony Belpaeme:
Tactile interaction with a robot leads to increased risk-taking. - Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers:
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models. - Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. - Syed Ali John Naqvi, Syed Bazil Ali:
State-of-the-art Models for Object Detection in Various Fields of Application. - Jimmy Lin:
On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning. - Vivek Khimani, Shahin Jabbari:
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments. - Teo Susnjak, Paula Maddigan:
Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning. - Alexander Slesarev, Mikhail Mikhailov, George A. Chernishev:
Benchmarking Hashing Algorithms for Load Balancing in a Distributed Database Environment. - Jyoti Kini, Ajmal Mian, Mubarak Shah:
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds. - Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. - Artem Lykov, Aleksey Fedoseev, Dzmitry Tsetserukou:
DeltaFinger: a 3-DoF Wearable Haptic Display Enabling High-Fidelity Force Vector Presentation at a User Finger. - Holger Boche, Yannik N. Böck, Christian Deppe, Frank H. P. Fitzek:
Neuromorphic Twins for Networked Control and Decision-Making. - Georgiana Caltais, Can Olmezoglu:
Counterfactual Causality in Networks. - Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh:
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. - Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. - Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald:
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. - Yaoguang Zhai, Sicun Gao:
Monte Carlo Tree Descent for Black-Box Optimization. - Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman:
Reinforcement Learning in Education: A Multi-Armed Bandit Approach. - Andrew Rowley, Oktay Karakus:
Measuring Air Quality via Multimodal AI and Satellite Imagery. - Carlos Pinzón, Santiago Quintero, Sergio Ramírez, Camilo Rueda, Frank Valencia:
Counting and Computing Join-Endomorphisms in Lattices (Revisited). - Haris Mansoor, Sarwan Ali, Shafiq Alam, Muhammad Asad Khan, Umair ul Hassan, Imdadullah Khan:
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. - Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. - Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. - José Vargas Quiros, Laura Cabrera Quiros, Catharine Oertel, Hayley Hung:
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild. - Adway Patra, Alexander Barg:
Node repair on connected graphs, Part II. - Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun:
Practical Phase Retrieval Using Double Deep Image Priors. - Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson:
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. - Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon:
Concrete Score Matching: Generalized Score Matching for Discrete Data. - Nasser M. Abbasi:
Analysis and object oriented implementation of the Kovacic algorithm. - Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy:
Geodesic Sinkhorn: optimal transport for high-dimensional datasets. - Hamid Hosseinianfar, Hami Rabbani, Maïté Brandt-Pearce:
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network. - Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. - Zhengyang Chen, Bing Han, Xu Xiang, Houjun Huang, Bei Liu, Yanmin Qian:
Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022. - Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction. - Yihong Dong, Ge Li, Zhi Jin:
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. - Sergio González, Wan-Ting Hsieh, Davide Burba, Trista Pei-Chun Chen, Chun-Li Wang, Victor Chien-Chia Wu, Shang-Hung Chang:
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram. - Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Xiang Li, Miao He, Haibo Luo, Huiyuan Yang, Jiajie Xiao:
TSAA: A Two-Stage Anchor Assignment Method towards Anchor Drift in Crowded Object Detection. - Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid:
Synthesizing Programs with Continuous Optimization. - Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng:
Exploiting Spatial-temporal Correlations for Video Anomaly Detection. - Yunling Shi, Jie Guan, Junfeng Xiao, Huai Zhang, Qiang Guo, Yu Yuan:
Internet Of Rights(IOR) In Role Based Block Chain. - Mohammed Y. Abdelsadek, Gunes Karabulut-Kurt, Halim Yanikomeroglu:
Distributed Massive MIMO for LEO Satellite Networks. - Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian:
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning. - Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity. - Joseph John, Josh Milthorpe, Peter Strazdins:
Distributed Work Stealing in a Task-Based Dataflow Runtime. - Haoze He, Parijat Dube:
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning. - Jianwu Fang, Chen Zhu, Pu Zhang, Hongkai Yu, Jianru Xue:
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning. - Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang:
P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Dianming Hou, Lili Ju, Zhonghua Qiao:
A linear second-order maximum bound principle-preserving BDF scheme for the Allen-Cahn equation with general mobility. - Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? - Jie Bai, Xin Fang, Jianwu Fang, Jianru Xue, Changwei Yuan:
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction. - Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa, Jin Sakuma, Yusuke Kida, Tetsunori Kobayashi:
Conversation-oriented ASR with multi-look-ahead CBS architecture. - Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark. - Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche:
Behavior Prior Representation learning for Offline Reinforcement Learning. - Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. - Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang:
tSF: Transformer-based Semantic Filter for Few-Shot Learning. - Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou:
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset. - Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar:
ADPTriage: Approximate Dynamic Programming for Bug Triage. - Zhifeng Tang, Zhuo Sun, Nan Yang, Xiangyun Zhou:
Age of Information of Multi-user Mobile Edge Computing Systems. - Haris Aziz, Jeremy Lindsay, Angus Ritossa, Mashbat Suzuki:
Fair Allocation of Two Types of Chores. - Chee-Wei Tan, Pei-Duo Yu, Siya Chen, H. Vincent Poor:
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks. - Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. - Thakare Kamalakar Vijay, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim:
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. - Rohun Agrawal, Oscar Leong:
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. - Haoze He, Parijat Dube:
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches. - Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang:
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. - Reza Dastbasteh, Petr Lisonek:
New quantum codes from self-dual codes over F_4. - Wangtao Lu, Liwei Xu, Tao Yin, Lu Zhang:
A highly accurate perfectly-matched-layer boundary integral equation solver for acoustic layered-medium problems. - Huan Qing:
Community detection in overlapping weighted networks. - Jongho Choi, Kyogu Lee:
Pop2Piano : Pop Audio-based Piano Cover Generation. - Reza Dastbasteh, Petr Lisonek:
On the equivalence of linear cyclic and constacyclic codes. - Hiroki Kanagawa, Yusuke Ijima:
SIMD-size aware weight regularization for fast neural vocoding on CPU. - Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou:
A survey on the development status and application prospects of knowledge graph in smart grids. - Siqi Bao, Huang He, Jun Xu, Hua Lu, Fan Wang, Hua Wu, Han Zhou, Wenquan Wu, Zheng-Yu Niu, Haifeng Wang:
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation. - Huan Qing:
Bipartite Mixed Membership Distribution-Free Model. A novel model for community detection in overlapping bipartite weighted networks. - Shanqing Yu, Yijun Wu, Ran Gan, Jiajun Zhou, Ziwan Zheng, Qi Xuan:
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. - Shujian Zhang, Chengyue Gong, Xingchao Liu:
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. - Tianqi Zhang, Tong Shen, Kai Yuan, Kaiwen Xue, Huihuan Qian:
A Novel Autonomous Robotics System for Aquaculture Environment Monitoring. - Justin Presley, Xi Wang, Tym Brandel, Xusheng Ai, Proyash Podder, Tianyuan Yu, Varun Patil, Lixia Zhang, Alex Afanasyev, F. Alex Feltus, Susmit Shannigrahi:
Hydra - A Federated Data Repository over NDN. - Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. - Yassine El Kheir, Shammur Absar Chowdhury, Hamdy Mubarak, Shazia Afzal, Ahmed Ali:
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation. - Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro:
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory. - Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb:
Neural Active Learning on Heteroskedastic Distributions. - Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
Nonverbal Social Behavior Generation for Social Robots Using End-to-End Learning. - Suncheng Xiang, Hao Chen, Jingsheng Gao, Sijia Du, Jiawang Mou, Ting Liu, Dahong Qian, Yuzhuo Fu:
Deep Multimodal Fusion for Generalizable Person Re-identification. - Ke Yang, Sixian Wang, Jincheng Dai, Kailin Tan, Kai Niu, Ping Zhang:
WITT: A Wireless Image Transmission Transformer for Semantic Communications. - Chengdong Liang, Xiao-Lei Zhang, Binbin Zhang, Di Wu, Shengqiang Li, Xingchen Song, Zhendong Peng, Fuping Pan:
Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames. - Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu:
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network. - Xinkuang Wang, Wenjing Li, Zhongcheng Wu:
CarDD: A New Dataset for Vision-based Car Damage Detection. - Erin C. Carson, Jörg Liesen, Zdenek Strakos:
70 years of Krylov subspace methods: The journey continues. - Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, Ayoung Kim:
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation. - Wei Song, Yanghao Yue, Ya-Jie Zhang, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement. - Rao Ma, Xiaobo Wu, Jin Qiu, Yanan Qin, Haihua Xu, Peihao Wu, Zejun Ma:
Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation. - Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. - Thomas Vigouroux, Cristian Ene, David Monniaux, Laurent Mounier, Marie-Laure Potet:
BAXMC: a CEGAR approach to Max\#SAT. - Dimitris Mamakas, Petros Tsotsi, Ion Androutsopoulos, Ilias Chalkidis:
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer. - Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization (Technical Report). - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (Corrected Version). - Aarón López-García:
SpectroMap: Peak detection algorithm for audio fingerprinting. - Leonardo Boledi, Fabian Key, Benjamin Terschanski, Stefanie Elgeti, Julia Kowalski:
A scale-coupled numerical method for transient close-contact melting. - Jiaqiang Zhang, Farhad Keramat, Xianjia Yu, Daniel Montero Hernández, Jorge Peña Queralta, Tomi Westerlund:
Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness. - Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz:
Autoregressive GAN for Semantic Unconditional Head Motion Generation. - Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-visual speech enhancement with a deep Kalman filter generative model. - Suhas Shrinivasan, Simon Razniewski:
How Stable is Knowledge Base Knowledge? - Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
Weighted variance variational autoencoder for speech enhancement. - Hannaneh Barahouei Pasandi, Asma Haghighat, Azin Moradbeikie, Ahmad Keshavarz, Habib Rostami, Sara Paiva, Sérgio Ivan Lopes:
Low-Cost Traffic Sensing System Based on LoRaWAN for Urban Areas. - Muhammad Fahad, Jérôme Darmont, Cécile Favre:
The Collaborative Business Intelligence Ontology (CBIOnt). - Yingjie Song, Wei Song, Wei Zhang, Zhengchen Zhang, Dan Zeng, Zhi Liu, Yang Yu:
Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation. - Jingfan Yu, Mengqian Zhang, Xi Chen, Zhixuan Fang:
SoK: Play-to-Earn Projects. - Martin Waltz, Ostap Okhrin:
Spatial-temporal recurrent reinforcement learning for autonomous ships. - Stephan Antholzer, Martin Berger, Tobias Hell:
Cluster-Based Autoencoders for Volumetric Point Clouds. - Caterina Senette, Maria Claudia Buzzi, Maria Teresa Paratore:
Self-assess Momentary Mood in Mobile Devices: a Case Study with Mature Female Participants. - Xiuyu Zhang, Minrui Xu, Rui Tan, Dusit Niyato:
Holographic-Type Communication for Digital Twin: A Learning-based Auction Approach. - Marco Sälzer, Eric Alsmann, Florian Bruse, Martin Lange:
Verifying And Interpreting Neural Networks using Finite Automata. - Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie:
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. - Lukasz Debowski:
There Are Fewer Facts Than Words: Communication With A Growing Complexity. - Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby, Zhaohui Yang, Chunmei Xu, Zhaoyang Zhang:
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions. - Alessandro Palmas, Pietro Andronico:
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing. - Dániel Horváth, Kristóf Bocsi, Gábor Erdös, Zoltán Istenes:
Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications. - Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine:
Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints. - Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin:
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. - Dieter van Melkebeek, Andrew Morgan:
Polynomial Identity Testing via Evaluation of Rational Functions. - Ran Tamir:
Joint Correlation Detection and Alignment of Gaussian Databases. - Oleg Sautenkov, Miguel Altamirano Cabrera, Viktor Rakhmatulin, Dzmitry Tsetserukou:
CobotTouch: AR-based Interface with Fingertip-worn Tactile Display for Immersive Operation/Control of Collaborative Robots. - Lean Wang, Lei Li, Xu Sun:
Gradient Knowledge Distillation for Pre-trained Language Models. - Luca Chiaraviglio, Chiara Lodovisi, Stefania Bartoletti, Ahmed Elzanaty, Mohamed-Slim Alouini:
Dominance of Smartphone Exposure in 5G Mobile Networks. - Lester Phillip Violeta, Ding Ma, Wen-Chin Huang, Tomoki Toda:
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition. - Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Spatial Reasoning for Few-Shot Object Detection. - Gaoyuan Cheng, Jie Xu:
Coordinated Transmit Beamforming for Multi-antenna Network Integrated Sensing and Communication. - Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Generative Poisoning Using Random Discriminators. - Kun Song, Yongmao Zhang, Yi Lei, Jian Cong, Hanzhao Li, Lei Xie, Gang He, Jinfeng Bai:
DSPGAN: a GAN-based universal vocoder for high-fidelity TTS by time-frequency domain supervision from DSP. - Jan Svec, Lubos Smídl, Jan Lehecka:
Transformer-based encoder-encoder architecture for Spoken Term Detection. - Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan:
Improving transferability of 3D adversarial attacks with scale and shear transformations. - Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. - Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C.-C. Jay Kuo:
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem. - Nicole Megow, Jens Schlöter:
Set Selection under Explorable Stochastic Uncertainty via Covering Techniques. - Gabriel S. Gama, Nícolas dos Santos Rosa, Valdir Grassi Jr.:
Semantic SuperPoint: A Deep Semantic Descriptor. - Carol Mak, Fabian Zaiser, Luke Ong:
Nonparametric Involutive Markov Chain Monte Carlo. - Kohei Kishida:
Proceedings of the Fourth International Conference on Applied Category Theory, ACT 2021, Cambridge, United Kingdom, 12-16th July 2021. EPTCS 372, 2022 [contents] - Ricardo Jesus Guerrero Barboza, Christoph Lattemann, Simon Michalke, Dominik Siemon:
A digital business ecosystem maturity model for personal service firms. - Novel Certad, Walter Morales-Alvarez, Cristina Olaverri-Monreal:
Road Markings Segmentation from LIDAR Point Clouds using Reflectivity Information. - Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. - Robert Dumitru, Daniel Genkin, Andrew Wabnitz, Yuval Yarom:
The Impostor Among US(B): Off-Path Injection Attacks on USB Communications. - Peng Zhang, Ruoyin Xie, Jinsheng Sun, Weiqing Li, Zhiyong Su:
AU-PD: An Arbitrary-size and Uniform Downsampling Framework for Point Clouds. - Amira Guesmi, Ihsen Alouani:
Adversarial Attack on Radar-based Environment Perception Systems. - Enrico Del Re, Cristina Olaverri-Monreal:
Implementation of Road Safety Perception in Autonomous Vehicles in a Lane Change Scenario. - Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. - Feihu Huang:
Fast Adaptive Federated Bilevel Optimization. - Meifan Zhang, Sixin Lin, Lihua Yin:
Local Differentially Private Frequency Estimation based on Learned Sketches. - Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. - Yongzhi Su, Yan Di, Fabian Manhardt, Guangyao Zhai, Jason R. Rambach, Benjamin Busam, Didier Stricker, Federico Tombari:
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection. - Shengling Wang, Lina Shi, Hongwei Shi, Yifang Zhang, Qin Hu, Xiuzhen Cheng:
Proof of User Similarity: the Spatial Measurer of Blockchain. - Yeming Gu, Hui Shu, Fan Hu:
UniASM: Binary Code Similarity Detection without Fine-tuning. - Zheng Li, Mauricio Pradena Miquel, Pedro Pinacho Davidson:
Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges. - Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi:
DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition. - Yakini Tchouka, Jean-François Couchot, David Laiymani:
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents. - Michal Dory, Sebastian Forster, Yasamin Nazari, Tijn de Vos:
New Tradeoffs for Decremental Approximate All-Pairs Shortest Paths. - Nathan Ma:
A Two Step Approach to Weighted Bipartite Link Recommendations. - Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. - Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong:
Recommendation with User Active Disclosing Willingness. - Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev:
Entropic Neural Optimal Transport via Diffusion Processes. - Lianghai Xiao, Yixing Zhao, Jiwei Chen:
Advertising strategy for profit-maximization: a novel practice on Tmall's online ads manager platforms. - Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
On-Device Model Fine-Tuning with Label Correction in Recommender Systems. - Jan Tóth, Ondrej Kuzelka:
Lifted Inference with Linear Order Axiom. - Weiyao Wang, Byung-Hak Kim, Varun Ganapathi:
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. - Mohammad Javad Salehi, Mohammad NaseriTehrani, Antti Tölli:
Multicast Beamformer Design for MIMO Coded Caching Systems. - Simon-Christian Klein, Philipp Öffner:
Entropy conservative high-order fluxes in the presence of boundaries. - Max Sokolich, David P. Rivas, Markos Duey, Daniel Borsykowsky, Sambeeta Das:
ModMag: A Modular Magnetic Micro-Robotic Manipulation Device. - Zhuheng Lu, Peng Zhang, Yuewei Dai, Weiqing Li, Zhiyong Su:
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations. - Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Block-Slot Representations. - Michal Edelstein, Hila Peleg, Shachar Itzhaky, Mirela Ben-Chen:
AmiGo: Computational Design of Amigurumi Crochet Patterns. - Romain Beylerian, Bérangère Colbois, Louis Faucon, Lê Nguyên Hoang, Aidan Jungo, Alain Le Noac'h, Adrien Matissart:
Tournesol: Permissionless Collaborative Algorithmic Governance with Security Guarantees. - Layne Berry, Yi-Jen Shih, Hsuan-Fu Wang, Heng-Jui Chang, Hung-yi Lee, David Harwath:
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval. - Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael B. Abu-Ghazaleh:
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. - Zhuheng Lu, Yuewei Dai, Weiqing Li, Zhiyong Su:
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds. - Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo:
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. - Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. - Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller:
Web-based Elicitation of Human Perception on mixup Data. - Johannes Voigt, Holger Jäkel, Laurent Schmalen:
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes. - Zhiyong Su, Chao Chu, Long Chen, Yong Li, Weiqing Li:
No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning. - Alperen Kantarci, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Bias-Aware Face Mask Detection Dataset. - Hayoung Seong, Junseon Kim, Won-Yong Shin, Howon Lee:
FiFo: Fishbone Forwarding in Massive IoT Networks. - Jong-whi Lee, Jinhong Jung:
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning. - Pavel Kuriscák, Pedro Rossa, Horácio Fernandes, João Nuno Silva:
Design and implementation of a Framework for remote experiments in education. - Yizhou Zhao, Hua Sun:
MDS Variable Generation and Secure Summation with User Selection. - Ruming Zhang:
Higher order convergence of perfectly matched layers in 3D bi-periodic surface scattering problems. - Felix Kreuk, Yaniv Taigman, Adam Polyak, Jade Copet, Gabriel Synnaeve, Alexandre Défossez, Yossi Adi:
Audio Language Modeling using Perceptually-Guided Discrete Representations. - Douglas A. Creager, Hendrik van Antwerpen:
Stack graphs: Name resolution at scale. - Artem Reshetnikov, Maria-Cristina V. Marinescu, Joaquim Moré López:
DEArt: Dataset of European Art. - Ruming Zhang:
Fast convergence for of perfectly matched layers for scattering with periodic surfaces: the exceptional case. - Giannis Delimpaltadakis, Morteza Lahijanian, Manuel Mazo Jr., Luca Laurenti:
Interval Markov Decision Processes with Continuous Action-Spaces. - Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal:
Attention-based Neural Cellular Automata. - Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti:
A comparison of uncertainty estimation approaches for DNN-based camera localization. - Kosio Beshkov, Jonas Verhellen, Mikkel Elle Lepperød:
Isometric Representations in Neural Networks Improve Robustness. - Alexandre Devillers, Mathieu Lefort:
EquiMod: An Equivariance Module to Improve Self-Supervised Learning. - Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones:
Exact Completeness of LP Hierarchies for Linear Codes. - Yi Zhang, Jitao Sang, Junyang Wang:
Fair Visual Recognition via Intervention with Proxy Features. - Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
CircleSnake: Instance Segmentation with Circle Representation. - Dingzhu Wen, Xiang Jiao, Peixi Liu, Guangxu Zhu, Yuanming Shi, Kaibin Huang:
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI. - Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot:
An Aggregation of Aggregation Methods in Computational Pathology. - Felix Härer:
Executable Models and Instance Tracking for Decentralized Applications - Towards an Architecture Based on Blockchains and Cloud Platforms. - Tobias Schnabel:
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation. - Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long:
Knowing the Past to Predict the Future: Reinforcement Virtual Learning. - Yujie Qian, Jinhyuk Lee, Sai Meher Karthik Duddu, Zhuyun Dai, Siddhartha Brahma, Iftekhar Naim, Tao Lei, Vincent Y. Zhao:
Multi-Vector Retrieval as Sparse Alignment. - Shafika Showkat Moni, Deepti Gupta:
Secure and Efficient Privacy-preserving Authentication Scheme using Cuckoo Filter in Remote Patient Monitoring Network. - Valeria Banica, Georg Maierhofer, Katharina Schratz:
Numerical integration of Schrödinger maps via the Hasimoto transform. - Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning:
Characterizing Intrinsic Compositionality in Transformers with Tree Projections. - Maciej Eder:
Boosting word frequencies in authorship attribution. - Xiaoyan Li, John Baez, Sophie Libkind, Eric Redekopp, Long Pham, Nathaniel D. Osgood:
An Algebraic Framework for Stock & Flow Diagrams and Dynamical Systems Using Category Theory. - Dimitris Karakostas, Aggelos Kiayias, Christina Ovezik:
SoK: A Stratified Approach to Blockchain Decentralization. - Danni Liu, Jan Niehues:
Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation. - Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior. - Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He:
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. - Miel Sharf, Bart Besselink, Karl Henrik Johansson:
Contract Composition for Dynamical Control Systems: Definition and Verification using Linear Programming. - Simon Martin Breum, Bojan Kostic, Michael Szell:
Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen. - Shashwat Sourav:
A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem. - Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen:
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation. - Sovan Biswas, Anthony Rhodes, Ramesh Manuvinakurike, Giuseppe Raffa, Richard Beckwith:
Distill and Collect for Semi-Supervised Temporal Action Segmentation. - Shawqi Al-Maliki, Faissal El Bouanani, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts. - Miel Sharf, Daniel Zelazo:
Cluster Assignment in Multi-Agent Systems : Sparsity Bounds and Fault Tolerance. - Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. - Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. - Konstantinos Klapsas, Karolos Nikitaras, Nikolaos Ellinas, June Sig Sung, Inchul Hwang, Spyros Raptis, Aimilios Chalamandaris, Pirros Tsiakoulis:
Predicting phoneme-level prosody latents using AR and flow-based Prior Networks for expressive speech synthesis. - Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang:
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. - Barak Or, Itzik Klein:
A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion. - Baadr Suleman M. Alwheepy, Leandros Maglaras, Nick Ayres:
A Health Focused Text Classification Tool (HFTCT). - Jinhyeok Park, Dain Kim, Dongwoo Kim:
Item-based Variational Auto-encoder for Fair Music Recommendation. - Pengtao Zhang, Junlin Zhang:
MemoNet: Memorizing Representations of All Cross Features Efficiently via Multi-Hash Codebook Network for CTR Prediction. - An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. - Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu:
A Transformer-based Framework for POI-level Social Post Geolocation. - Randall Balestriero, Yann LeCun:
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks. - Georgios V. Pitsiladis, Petros S. Stefaneas:
A logical framework to model software development by multiple agents following a common specification. - Zikang Leng, Yash Jain, HyeokHyen Kwon, Thomas Plötz:
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data. - Syeda Tanjila Atik, Marco Brocanelli, Daniel Grosu:
Are Turn-by-Turn Navigation Systems of Regular Vehicles Ready for Edge-Assisted Autonomous Vehicles? - Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi:
Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model. - Md. Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Shashi Bhushan TN:
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop. - Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. - Mikkel Abrahamsen, Nichlas Langhoff Rasmussen:
Partitioning a Polygon Into Small Pieces. - Umur A. Ciftci, Gokturk Yuksek, Ilke Demir:
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization. - Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. - Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak:
Two-Stream Network for Sign Language Recognition and Translation. - Benyamin Ghojogh, Smriti Sharma:
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity. - Dongcui Diao, Hengshuai Yao, Bei Jiang:
Class Interference of Deep Neural Networks. - Ilia Sucholutsky, Raja Marjieh, Nori Jacoby, Thomas L. Griffiths:
On the Informativeness of Supervision Signals. - Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. - Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra:
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. - Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. - Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie:
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. - Xingzhi Guo, Steven Skiena:
Hierarchies over Vector Space: Orienting Word and Graph Embeddings. - Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. - Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
Spectral Graph Complexity. - Siyu Liu, Marija Ilic:
Towards Statistical Methods for Minimizing Effects of Failure Cascades. - Pasin Manurangsi:
Improved Inapproximability of VC Dimension and Littlestone's Dimension via (Unbalanced) Biclique. - João Machado de Freitas, Bernhard C. Geiger:
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. - Swapnil Saha, Hafiz Imtiaz:
Privacy-preserving Non-negative Matrix Factorization with Outliers. - Dacheng Li, Rulin Shao, Hongyi Wang, Han Guo, Eric P. Xing, Hao Zhang:
MPCFormer: fast, performant and private Transformer inference with MPC. - Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. - Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr:
PI is back! Switching Acquisition Functions in Bayesian Optimization. - Brian Yan, Matthew Wiesner, Ondrej Klejch, Preethi Jyothi, Shinji Watanabe:
Towards Zero-Shot Code-Switched Speech Recognition. - Yanyan Shi:
Drift approximation by the modified Boris algorithm of charged-particle dynamics in toroidal geometry. - Ben Kenwright:
Inverse Kinematics with Dual-Quaternions, Exponential-Maps, and Joint Limits. - Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. - Lawrence Li, Sushant Sachdeva:
A New Approach to Estimating Effective Resistances and Counting Spanning Trees in Expander Graphs. - Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar:
Dual Generator Offline Reinforcement Learning. - Ori Roth, Yossi Gil:
Fluent APIs in Functional Languages (full version). - Nicola Peserico, Bhavin J. Shastri, Volker J. Sorger:
Integrated Photonic Tensor Processing Unit for a Matrix Multiply: a Review. - Andrés Aldana, Andrea Falcón-Cortés, Hernán Larralde:
A machine learning model to identify corruption in México's public procurement contracts. - Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski:
Over-communicate no more: Situated RL agents learn concise communication protocols. - Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut:
Physics-inspired machine learning for power grid frequency modelling. - Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi:
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. - Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
The Lottery Ticket Hypothesis for Vision Transformers. - Zachary Zhou, Alisha Zachariah, Devin Conathan, Jeffery Kline:
Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis. - Xu Shen, Francesco Borrelli:
Multi-vehicle Conflict Resolution in Highly Constrained Spaces by Merging Optimal Control and Reinforcement Learning. - Alvaro Andres Alvarez Peralta, Priya Desai, Somalee Datta:
A study linking patient EHR data to external death data at Stanford Medicine. - Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking. - Yu Zhang, Mitchell Bucklew:
Max Markov Chain. - Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh:
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. - Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr:
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers. - Wenxuan Zhou, David Held:
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. - Narges Khakpour, David Parker:
Partially-Observable Security Games for Automating Attack-Defense Analysis. - Andre Wibisono, Kaylee Yingxi Yang:
Convergence in KL Divergence of the Inexact Langevin Algorithm with Application to Score-based Generative Models. - Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. - Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Sijia Xiao, Shagun Jhaver, Niloufar Salehi:
Addressing harm in online gaming communities - the opportunities and challenges for a restorative justice approach. - J. Brian Burns, Aravind Sundaresan, Pedro Sequeira, Vidyasagar Sadhu:
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments. - Ruicheng Xian, Lang Yin, Han Zhao:
Fair and Optimal Classification via Transports to Wasserstein-Barycenter. - Juntao Huang, Wei Guo, Yingda Cheng:
Adaptive sparse grid discontinuous Galerkin method: review and software implementation. - Lionel Nganyewou Tidjon, Foutse Khomh:
Reliable Malware Analysis and Detection using Topology Data Analysis. - Hao Xu, Peize Liu, Xinyi Chen, Shaojie Shen:
D2SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm. - Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas:
Conformal Prediction for STL Runtime Verification. - Shuhao Gu, Bojie Hu, Yang Feng:
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions. - Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha:
INGREX: An Interactive Explanation Framework for Graph Neural Networks. - Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu:
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. - Faisal Tareque Shohan, Abu Ubaida Akash, Muhammad Ibrahim, Mohammad Shafiul Alam:
Crime Prediction using Machine Learning with a Novel Crime Dataset. - Ruyuan Wan, Naome A. Etori, Karla A. Badillo-Urquiola, Dongyeop Kang:
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP. - Ruoxi Jiang, Rebecca Willett:
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. - Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding:
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. - Yifan Gao, Danni Zhang, Haoyue Li:
The ProfessionAl Go annotation datasEt (PAGE). - Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. - Roshan Thomas Eapen, Ramchander Rao Bhaskara, Manoranjan Majji:
NaRPA: Navigation and Rendering Pipeline for Astronautics. - Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving:
Fine-Tuning Language Models via Epistemic Neural Networks. - Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. - Felix Ma Yun, Jordan Nabi, Mitra Hassani:
Resource Allocation in MIMO setup. - Zhutian Yang, Caelan Reed Garrett, Dieter Fox:
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. - Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction for Event Extraction. - Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty:
Data-free Defense of Black Box Models Against Adversarial Attacks. - Chenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri, Ryan Marcus, Boon Thau Loo:
AdaChain: A Learned Adaptive Blockchain. - Ao Zhang, Fan Yu, Kaixun Huang, Lei Xie, Longbiao Wang, Eng Siong Chng, Hui Bu, Binbin Zhang, Wei Chen, Xin Xu:
The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results. - Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang:
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. - Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. - Yuan Hu, Zhibin Wang, Zhou Huang, Yu Liu:
PolyBuilding: Polygon Transformer for End-to-End Building Extraction. - Chong Chen, Ying Gao, Leyu Shi, Siquan Huang:
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems. - Siddharth Chandak, Vivek S. Borkar, Parth Dodhia:
Reinforcement Learning in Non-Markovian Environments. - Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty:
Robust Few-shot Learning Without Using any Adversarial Samples. - Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. - Mesut Yang, Micah Carroll, Anca D. Dragan:
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. - Tian Qin, Alex Beatson, Deniz Oktay, Nick McGreivy, Ryan P. Adams:
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh. - Fatemeh Rajabi-Alni, Alireza Bagheri:
Computing a many-to-many matching with demands and capacities between two sets using the Hungarian algorithm. - Xiuyu Wu, Yunfang Wu:
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction. - Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. - Omkar Ranadive, Jisu Kim, Serin Lee, Youngseo Cha, Heechan Park, Minkook Cho, Young K. Hwang:
Image-based Early Detection System for Wildfires. - Xinzhe Luo, Xiahai Zhuang:
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. - Björn Koopmann, Stefan Puch, Günter Ehmen, Martin Fränzle:
Cooperative Maneuvers of Highly Automated Vehicles at Urban Intersections: A Game-theoretic Approach. - Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. - Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. - Zhicheng Wang, Tianyu Shi, Cong Liu:
Joint Chinese Word Segmentation and Span-based Constituency Parsing. - Meiqin Liu, Shuo Jin, Chao Yao, Chunyu Lin, Yao Zhao:
Temporal Consistency Learning of inter-frames for Video Super-Resolution. - Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin:
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. - Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. - Stefano Piani, Luca Heltai, Wenyu Lei:
A Scharfetter-Gummerl stabilization scheme for HDG approximations of convection-diffusion problems. - Emily R. Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith:
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). - James Smith:
Secret Sharing for Generic Theoretic Cryptography. - Alexandros I. Papadopoulos, Antonios Lalas, Konstantinos Votis, Dimitrios Tyrovolas, George K. Karagiannidis, Sotiris Ioannidis, Christos Liaskos:
An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces. - Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse:
Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement. - Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. - Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu:
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. - G. M. Shahariar, Swapnil Biswas, Faiza Omar, Faisal Muhammad Shah, Samiha Binte Hassan:
Spam Review Detection Using Deep Learning. - Wenran Yang, Yong Deng:
Repeatable Random Permutation Set. - Ben Greenman, Sam Saarinen, Tim Nelson, Shriram Krishnamurthi:
Little Tricky Logic: Misconceptions in the Understanding of LTL. - Benjamin Chetioui, Jaakko Järvi, Magne Haveraaen:
Revisiting Language Support for Generic Programming: When Genericity Is a Core Design Goal. - Carlos Rojas Castillo, Matteo Marra, Jim Bauwens, Elisa Gonzalez Boix:
Out-of-Things Debugging: A Live Debugging Approach for Internet of Things. - Rahul Jain, Georgios Piliouras, Ryann Sim:
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. - Wonseok Hwang, Saehee Eom, Hanuhl Lee, Hai Jin Park, Minjoon Seo:
Data-efficient End-to-end Information Extraction for Statistical Legal Analysis. - Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Vehicle Trajectory Models. - Danish Kashaev, Guido Schäfer:
A Round and Bipartize Approximation Algorithm for Vertex Cover. - Ajinkya Khoche, Maciej K. Wozniak, Daniel Duberg, Patric Jensfelt:
Semantic 3D Grid Maps for Autonomous Driving. - Niels Grüttemeier, Philipp Heinrich Keßler, Christian Komusiewicz, Frank Sommer:
Efficient Branch-and-Bound Algorithms for Finding Triangle-Constrained 2-Clubs. - Ke Sun, Samir M. Perlaza, Alain Jean-Marie:
Zero-Sum Games with Noisy Observations. - Jihyun Mun, Sunhee Kim, Myeong-Ju Kim, Jiwon Ryu, Sejoong Kim, Minhwa Chung:
A speech corpus for chronic kidney disease. - Timothy L. Molloy, Iman Shames:
Minimum-Time Escape from a Circular Region for a Dubins Car. - Alyzia Maria Konsta, Alberto Lluch-Lafuente, Nicola Dragoni:
Trust Management for Internet of Things: A Systematic Literature Review. - Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu:
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. - Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. - Kevin Zagalo, Olena Verbytska, Liliana Cucu-Grosjean, Avner Bar-Hen:
Response Times Parametric Estimation of Real-Time Systems. - Zitha Sasindran, Harsha Yelchuri, Supreeth Rao, T. V. Prabhakar:
Hybrid-SD (HSD) : A new hybrid evaluation metric for automatic speech recognition tasks. - Petr A. Golovach, Giannos Stamoulis, Dimitrios M. Thilikos:
Model-Checking for First-Order Logic with Disjoint Paths Predicates in Proper Minor-Closed Graph Classes. - Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar:
Learning Control by Iterative Inversion. - Siddharth Gupta, Manish Kumar, Shreyas Pai:
Distributed Reconfiguration of Spanning Trees. - Ran Ben-Basat, Gil Einziger, Wenchen Han, Bilal Tayh:
SQUID: Faster Analytics via Sampled Quantiles Data-structure. - Emre Ozfatura, Yulin Shao, Amin Ghazanfari, Alberto Perotti, Branislav M. Popovic, Deniz Gündüz:
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes. - Emre Can Acikgoz, Tilek Chubakov, Müge Kural, Gözde Gül Sahin, Deniz Yuret:
Transformers on Multilingual Clause-Level Morphology. - Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. - Sandeep Bondalapati:
Task Tree Retrieval for Robotic Cooking. - Filip De Turck:
Methodology for Simulation-based Comparison of Algorithms for Distributed Mutual Exclusion. - Yang Chen, Leyuan Sun, Mehdi Benallegue, Rafael Cisneros, Rohan P. Singh, Kenji Kaneko, Arnaud Tanguy, Guillaume Caron, Kenji Suzuki, Abderrahmane Kheddar, Fumio Kanehiro:
Enhanced Visual Feedback with Decoupled Viewpoint Control in Immersive Humanoid Robot Teleoperation using SLAM. - Pavel Andreev, Nicholas Babaev, Azat Saginbaev, Ivan Shchekotov:
Iterative autoregression: a novel trick to improve your low-latency speech enhancement model. - Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Chunyang Chen, John Grundy:
A Comparative Study of Smartphone and Smart TV Apps. - Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi:
Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. - Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. - Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane:
Optimal Algorithms for Stochastic Complementary Composite Minimization. - Gregor Cerar, Blaz Bertalanic, Carolina Fortuna:
Resource-aware Deep Learning for Wireless Fingerprinting Localization. - Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. - Somayeh Komeylian, Christopher Paolini:
Implementation of the Digital QS-SVM-based Beamformer on an FPGA Platform. - Guangtong Li, L. Siddharth, Jianxi Luo:
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity. - Harsh M. Patel, Shivam Sahni:
Exploring Explainability Methods for Graph Neural Networks. - Yuntao Wang, Zhou Su, Abderrahim Benslimane, Qichao Xu, Minghui Dai, Ruidong Li:
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach. - Hans Zantema:
Complexity of Simon's problem in classical sense. - Andreas Stöckl:
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion. - Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya:
Progressive Transformation Learning For Leveraging Virtual Images in Training. - Xi-Ci Yang, Z. Y. Xie, Xiao-Tao Yang:
Exploring explicit coarse-grained structure in artificial neural networks. - Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Shih-Fu Chang, Heng Ji:
Video Event Extraction via Tracking Visual States of Arguments. - Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao: