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ORCIDCoRR, March 2023
- Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh:
Reward Design with Language Models.
- Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Yifei Wang, Qinghai Zheng:
Multi-view Semantic Consistency based Information Bottleneck for Clustering. - Georg Kruse, Dominik Happel, Stefan Ditze, Stefan Ehrlich, Andreas Rosskopf:
Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning. - Kalvik Jakkala, Srinivas Akella:
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces. - Konstantinos Iordanou, Timothy Atkinson, Emre Ozer, Jedrzej Kufel, John Biggs, Gavin Brown, Mikel Luján:
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data. - Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain:
Decentralized Model Dissemination Empowered Federated Learning in mmWave Aerial-Terrestrial Integrated Networks. - Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor:
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. - Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. - Dezhao Luo, Jiabo Huang, Shaogang Gong, Hailin Jin, Yang Liu:
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training. - Justin L. Sitler, Long Wang:
A Redundancy Resolution Method for Free-Floating Underwater Manipulation. - Max Hahn-Klimroth, Dominik Kaaser, Malin Rau:
Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes. - Frank Filbir, Ralf Hielscher, Thomas Jahn, Tino Ullrich:
Marcinkiewicz-Zygmund inequalities for scattered and random data on the q-sphere. - Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge:
Robustness of edited neural networks. - Ratijit Mitra, Indranil Saha:
Online On-Demand Multi-Robot Coverage Path Planning. - Decai Chen, Haofei Lu, Ingo Feldmann, Oliver Schreer, Peter Eisert:
Dynamic Multi-View Scene Reconstruction Using Neural Implicit Surface. - Rong Zou, Boyue Lin, Marc Uetz, Matthias Walter:
Algorithmic Solutions for Maximizing Shareable Costs. - Raphaël Berthier, Andrea Montanari, Kangjie Zhou:
Learning time-scales in two-layers neural networks. - Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell:
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling. - Richard van Dijk, Daniela Gawehns, Matthijs van Leeuwen:
WEARDA: recording wearable sensor data for human activity monitoring. - Tim-Lukas Habich, Melvin Hueter, Moritz Schappler, Svenja Spindeldreier:
Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics. - Jeff Orchard, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. - Masoud Tabatabaei, Wojciech Jamroga:
Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory. - Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, Hanan Aldarmaki:
ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus. - Alexander Bilz, Lynsay A. Shepherd, Graham I. Johnson
:
Tainted Love: A Systematic Review of Online Romance Fraud. - Cornelia Schneider, Jan Vybíral:
A multivariate Riesz basis of ReLU neural networks. - Conor J. Houghton, Nina Kazanina, Priyanka Sukumaran:
Beyond the limitations of any imaginable mechanism: large language models and psycholinguistics. - Shrey Pareek, Harris J. Nisar, Thenkurussi Kesavadas:
AR3n: A Reinforcement Learning-based Assist-As-Needed Controller for Robotic Rehabilitation. - Lanxiao Li, Michael Heizmann:
Applying Plain Transformers to Real-World Point Clouds. - Sven-Jannik Wöhnert, Kai Hendrik Wöhnert, Eldar Almamedov, Carsten Frank, Volker Skwarek:
A study on the use of perceptual hashing to detect manipulation of embedded messages in images. - Jeroen Ooge, Leen Dereu, Katrien Verbert:
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. - Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic:
Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation. - Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. - Jeanne N. Clelland:
Ranked Choice Voting And the Center Squeeze in the Alaska 2022 Special Election: How Might Other Voting Methods Compare? - Stefan Felsner, Hendrik Schrezenmaier, Felix Schröder, Raphael Steiner:
Linear Size Universal Point Sets for Classes of Planar Graphs. - Artiom Alhazov, Vincent Ferrari-Dominguez, Rudolf Freund, Nicolas Glade, Sergiu Ivanov:
A P Systems Variant for Reasoning about Sequential Controllability of Boolean Networks. - Alex Stein, Avi Schwarzschild, Michael J. Curry, Tom Goldstein, John P. Dickerson:
Neural Auctions Compromise Bidder Information. - David A. Kaplan:
Optimization and Amplification of Cache Side Channel Signals. - Juan Castorena:
Representation Disentaglement via Regularization by Identification. - Zhefan Xu, Xiaoyang Zhan, Yumeng Xiu, Christopher Suzuki, Kenji Shimada:
Onboard dynamic-object detection and tracking for autonomous robot navigation with RGB-D camera. - Janhavi Lande, Arti Pillay, Rohitash Chandra:
Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron. - Yichen Sheng, Jianming Zhang, Julien Philip, Yannick Hold-Geoffroy, Xin Sun, He Zhang, Lu Ling, Bedrich Benes:
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing. - Yalong Jiang, Wenrui Ding, Hongguang Li, Zheru Chi:
Video Pose Track with Graph-Guided Sparse Motion Estimation. - Xingran Chen, Hesam Nikpey, Jungyeol Kim, Saswati Sarkar, Shirin Saeedi Bidokhti:
Containing a spread through sequential learning: to exploit or to explore? - Yuanchao Li, Koji Inoue, Leimin Tian, Changzeng Fu, Carlos Toshinori Ishi, Hiroshi Ishiguro, Tatsuya Kawahara, Catherine Lai:
I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue. - David Eppstein:
Non-crossing Hamiltonian Paths and Cycles in Output-Polynomial Time. - Franck Cassez, Joanne Fuller, Milad K. Ghale, David J. Pearce, Horacio Mijail Anton Quiles:
Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny. - Elena Trunz, Jonathan Klein, Jan U. Müller, Lukas Bode, Ralf Sarlette, Michael Weinmann, Reinhard Klein:
Neural inverse procedural modeling of knitting yarns from images. - Qichao Ma, Jiahu Qin, Brian D. O. Anderson, Long Wang:
Exponential Consensus of Multiple Agents over Dynamic Network Topology: Controllability, Connectivity, and Compactness. - Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-supervised Parametric Real-world Image Harmonization. - Yi-Chien Lin, Viktor K. Prasanna:
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture. - Amanda Baughan, Allison Mercurio, Ariel Liu, Xuezhi Wang, Jilin Chen, Xiao Ma:
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures. - Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. - Yi He, Haoran Xie, Kazunori Miyata:
Sketch2Cloth: Sketch-based 3D Garment Generation with Unsigned Distance Fields. - Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. - Taryn Takebayashi, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman:
An Exploratory Study on the Usage and Readability of Messages Within Assertion Methods of Test Cases. - Kai-Lang Yao, Wu-Jun Li:
Asymmetric Learning for Graph Neural Network based Link Prediction. - Raviteja Anantha, Kriti Bhasin, Daniela de la Parra Aguilar, Prabal Vashisht, Becci Williamson, Srinivas Chappidi:
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction. - Hawra Rabaan, Lynn Dombrowski:
Survivor-Centered Transformative Justice: An Approach to Designing Alongside Domestic Violence Stakeholders in US Muslim Communities. - Jingyao Zhang, Mohsen Imani, Elaheh Sadredini:
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. - Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation. - Haizhou Du, Chengdong Ni:
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data. - Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, Paraskeui Antonia Theofilou:
FaceRNET: a Facial Expression Intensity Estimation Network. - Zheng Li, Caili Guo, Xin Wang, Zerun Feng, Zhongtian Du:
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching. - Sotiris Pelekis, Angelos Pipergias, Evangelos Karakolis, Spiros Mouzakitis, Francesca Santori, Mohammad Ghoreishi, Dimitris Askounis:
Towards a real-time demand response framework for smart communities using clustering techniques. - Sufang Yang, Longguang Li, Jintao Wang:
On the Capacity Region of Optical Intensity Broadcast Channels. - Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. - Frederic Gmeiner, Humphrey Yang, Lining Yao, Kenneth Holstein, Nikolas Martelaro:
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. - Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao:
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression Recognition. - Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao:
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. - Yun-Yun Tsai, Chengzhi Mao, Yow-Kuan Lin, Junfeng Yang:
Self-Supervised Convolutional Visual Prompts. - Kun Yang, Jun Lu:
DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity. - Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen:
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors. - Xin Zhou, Bowen Xu, Kisub Kim, DongGyun Han, Thanh Le-Cong, Junda He, Bach Le, David Lo:
PatchZero: Zero-Shot Automatic Patch Correctness Assessment. - Zhenduo Zhao, Zhuo Li, Wenchao Wang, Pengyuan Zhang:
PCF: ECAPA-TDNN with Progressive Channel Fusion for Speaker Verification. - Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. - Anna Karanika, Rui Yang, Xiaojuan Ma, Jiangran Wang, Shalni Sundram, Indranil Gupta:
CoMesh: Fully-Decentralized Control for Sense-Trigger-Actuate Routines in Edge Meshes. - Jason Milionis, Ciamac C. Moallemi, Tim Roughgarden:
A Myersonian Framework for Optimal Liquidity Provision in Automated Market Makers. - Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. - Naoki Akai:
Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with Fusion of Measurement Model Optimization via Importance Sampling. - Yanrong Zhang, Xiaoli Li:
Efficient and accurate exponential SAV algorithms with relaxation for dissipative system. - Hassan M. Ahmed, Souhail Maraoui, Muhammed Abd Elnaby Sadek, Bessam Abdulrazak, Camille Vandenberghe, Stephen C. Cunnane, F. Guillaume Blanchet:
Meal-time Detection by Means of Long Periods Blood Glucose Level Monitoring via IoT Technology. - Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng:
Two Views of Constrained Differential Privacy: Belief Revision and Update. - Hiroshi Hirai, Ryosuke Sato:
Polyhedral Clinching Auctions for Indivisible Goods. - Yun Fan, Yue Leng:
Consta-dihedral Codes over Finite Fields. - Jing Li, Jinpeng Yu, Ruoyu Wang, Zhengxin Li, Zhengyu Zhang, Lina Cao, Shenghua Gao:
P2SDF for Neural Indoor Scene Reconstruction. - Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J. Q. Zhang, Eunsol Choi, Bhuwan Dhingra:
DIFFQG: Generating Questions to Summarize Factual Changes. - Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma:
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. - Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen:
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution. - Alexander Kushkuley:
Some Remarks on Random Vectors and O(n)-Invariants. - Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han:
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. - Yitao Yan, Jie Bao, Biao Huang:
Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis. - Pravesh K. Kothari, Santosh S. Vempala, Alexander S. Wein, Jeff Xu:
Is Planted Coloring Easier than Planted Clique? - Shaolei Zhang, Yang Feng:
Hidden Markov Transformer for Simultaneous Machine Translation. - Pingping Zhang, Shiqi Gong, Shaodan Ma:
Double-RIS Aided Multi-user MIMO Communications: Common Reflection Pattern and Joint Beamforming Design. - Xiangyu Gao, Jianzhong Li, Dongjing Miao:
Computing All Restricted Skyline Probabilities for Uncertain Data. - Sachin Kumar Verma, Abhishek Verma, Avinash Chandra Pandey:
Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks. - Md. Mehedi Hasana, Muhammad Ibrahim, Md. Sawkat Ali:
Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning. - Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. - Li Zhang, Qing Wang, Hongji Wang, Yue Li, Wei Rao, Yannan Wang, Lei Xie:
Distance-based Weight Transfer from Near-field to Far-field Speaker Verification. - Abhishek Verma, Virender Ranga:
Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review. - Haolin Zhang, Chaitanya Krishna Prasad Vallabh, Xiayun Zhao:
Influence of Spattering on In-process Layer Surface Roughness during Laser Powder Bed Fusion. - Abhishek Verma, Virender Ranga:
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. - Shanshan Lyu, Qiwei Chen, Tao Zhuang, Junfeng Ge:
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System. - (Withdrawn) UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments.
- Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev:
Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. - Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu:
FedScore: A privacy-preserving framework for federated scoring system development. - Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue:
To Make Yourself Invisible with Adversarial Semantic Contours. - Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo:
Enhancing Knowledge Graph Embedding Models with Semantic-driven Loss Functions. - Yuechen Yu, Yulin Li, Chengquan Zhang, Xiaoqiang Zhang, Zengyuan Guo, Xiameng Qin, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang:
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training. - Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. - Matteo Scucchia, Davide Maltoni:
Region Prediction for Efficient Robot Localization on Large Maps. - Sen Yang, Wen Heng, Gang Liu, Guozhong Luo, Wankou Yang, Gang Yu:
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens. - Jinghe Wang, Wankai Tang, Shi Jin, Xiao Li, Michail Matthaiou:
Static Power Consumption Modeling and Measurement of Reconfigurable Intelligent Surfaces. - Mingming Zhang, Ye Du, Zhenghui Hu, Qingjie Liu, Yunhong Wang:
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction. - Yihang Lin, Pengyuan Zhou, Zhiqian Wu, Yong Liao:
Mitigating Backdoors in Federated Learning with FLD. - Jinhan Kim, Jongchan Park, Shin Yoo:
The Inversive Relationship Between Bugs and Patches: An Empirical Study. - Obin Kwon, Jeongho Park, Songhwai Oh:
Renderable Neural Radiance Map for Visual Navigation. - Saud Khan, Chandra Thapa, Salman Durrani, Seyit Camtepe:
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices. - Won Jeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim:
Event Fusion Photometric Stereo Network. - Yuka Okuda, Katsuhito Sudoh, Seitaro Shinagawa, Satoshi Nakamura:
Modeling Multiple User Interests using Hierarchical Knowledge for Conversational Recommender System.