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CoRR, June 2023
- Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. - Jesper Amilon, Zafer Esen, Dilian Gurov, Christian Lidström, Philipp Rümmer:
Automatic Program Instrumentation for Automatic Verification (Extended Technical Report). - Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. - Hezhe Qiao, Guansong Pang
:
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. - Daniel da Silva Junior, Paulo Roberto dos S. Corval, Aline Paes, Daniel de Oliveira:
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches. - Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean:
Brainformers: Trading Simplicity for Efficiency. - Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. - Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo, Rocío González-Díaz:
Explainability in Simplicial Map Neural Networks. - Alokendu Mazumder, Pagadala Krishna Murthy, Punit Rathore:
A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data. - Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao:
Graph Neural Network for spatiotemporal data: methods and applications. - G. Jeyakodi, Arkadeep Pal, Debapratim Gupta, K. Sarukeswari, V. Amouda:
Machine Learning Approach for Cancer Entities Association and Classification. - Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. - Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. - Shadi Haj-Yahia, Omar Mansour, Tomer Toledo:
Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models. - Walid S. Saba:
Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale. - Neil Christian R. Riego, Danny Bell Villarba:
Utilization of Multinomial Naive Bayes Algorithm and Term Frequency Inverse Document Frequency (TF-IDF Vectorizer) in Checking the Credibility of News Tweet in the Philippines. - Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie:
GPT4GEO: How a Language Model Sees the World's Geography. - Durgesh Nandini, Ute Schmid:
Explaining Hate Speech Classification with Model Agnostic Methods. - Salahaldeen Rababa, Asma Yamin, Shuxia Lu, Ashraf Obaidat:
Predicting Heart Disease and Reducing Survey Time Using Machine Learning Algorithms. - Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon:
Self-Verification Improves Few-Shot Clinical Information Extraction. - Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. - Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi:
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. - Célina Treuillier, Sylvain Castagnos, Armelle Brun:
A Multi-Factorial Analysis of Polarization on Social Media. - Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. - Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. - Alexander Shevtsov
, Despoina Antonakaki, Ioannis Lamprou, Polyvios Pratikakis, Sotiris Ioannidis:
BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension. - Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. - Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
Graph-based methods coupled with specific distributional distances for adversarial attack detection. - Chun-Wei Tsai, Yi-Cheng Yang, Tzu-Chieh Tang, Che-Wei Hsu:
Space Net Optimization. - Hye-jin Shim, Rosa González Hautamäki, Md. Sahidullah, Tomi Kinnunen:
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning. - Robert Tjarko Lange, Henning Sprekeler:
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. - Nina L. Corvelo Benz, Manuel Gomez Rodriguez:
Human-Aligned Calibration for AI-Assisted Decision Making. - Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang:
CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. - Sarah K. Amer:
AI Imagery and the Overton Window. - Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. - Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. - Manuel Klar, Giacomo Capodaglio, Marta D'Elia, Christian Glusa, Max D. Gunzburger, Christian Vollmann:
A scalable domain decomposition method for FEM discretizations of nonlocal equations of integrable and fractional type. - Roy Laurens, Edo Christianto, Bruce Caulkins, Cliff C. Zou:
Side-Channel VoIP Profiling Attack against Customer Service Automated Phone System. - Liat Bezalel, Eyal Orgad:
MetaXLR - Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit. - Xiao Xu
, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. - Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Toufique Ahmed, Premkumar T. Devanbu:
Majority Rule: better patching via Self-Consistency. - Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian:
MuseCoco: Generating Symbolic Music from Text. - Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Additional Positive Enables Better Representation Learning for Medical Images. - Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Etienne Lord:
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture. - Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. - Aaron Mishkin, Mert Pilanci:
Optimal Sets and Solution Paths of ReLU Networks. - Jiayi Xu, Han-Wei Shen:
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration. - Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Multi-Figurative Language Detection. - Chunliu Wang, Huiyuan Lai, Malvina Nissim, Johan Bos:
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation. - Massimo Lauria, Jakob Nordström:
Graph Colouring is Hard for Algorithms Based on Hilbert's Nullstellensatz and Gröbner Bases. - Junyi Zhu, Ruicong Yao, Matthew B. Blaschko:
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. - Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, José García Rodríguez:
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects. - Matthew Jagielski:
A Note On Interpreting Canary Exposure. - Clara Lacroce, Borja Balle, Prakash Panangaden, Guillaume Rabusseau:
Optimal Approximate Minimization of One-Letter Weighted Finite Automata. - Nefeli Bountouni, Sotiris Koussouris, Alexandros Vasileiou, Stylianos A. Kazazis:
A Holistic Framework for Safeguarding of SMEs-A Case Study. - Tong Li, Zhihao Wang, Liangying Shao, Xuling Zheng, Xiaoli Wang, Jinsong Su:
A Sequence-to-Sequence&Set Model for Text-to-Table Generation. - Aekta Aggarwal, Helge Holden, Ganesh Vaidya:
On the accuracy of the finite volume approximations to nonlocal conservation laws. - Ashok Cutkosky
, Aaron Defazio, Harsh Mehta:
Mechanic: A Learning Rate Tuner. - Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. - Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov:
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. - Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. - Jennifer J. Schnur, Nitesh V. Chawla:
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health. - Dan Edidin, Matthew Satriano:
Orbit recovery for band-limited functions. - Haroon Ahmad, Ceren Gürkan:
eXtended Hybridizable Discontinous Galerkin (X-HDG) Method for Linear Convection-Diffusion Equations on Unfitted Domains. - Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun Güvenç, Levent Guvenç:
Virtual and Real Data Populated Intersection Visualization and Testing Tool for V2X Application Development. - Nitay Calderon, Naveh Porat, Eyal Ben-David, Zorik Gekhman, Nadav Oved, Roi Reichart:
Measuring the Robustness of Natural Language Processing Models to Domain Shifts. - Rie Johnson, Tong Zhang:
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training. - Pengfei Li, Jianyi Yang, Shaolei Ren:
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees. - Alex Altair:
A Comparison of Decision Algorithms on Newcomblike Problems. - Nicholas Pangakis, Samuel Wolken, Neil Fasching:
Automated Annotation with Generative AI Requires Validation. - Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization. - Chenghao Wang:
LeggedWalking on Inclined Surfaces. - Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann:
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow. - Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi
, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. - Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. - Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani:
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. - Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh:
Multi-environment lifelong deep reinforcement learning for medical imaging. - Gautam Yadav, Ying-Jui Tseng, Xiaolin Ni:
Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models. - Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Hamiltonian Flow. - Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. - Ziang Xu, Jens Rittscher, Sharib Ali:
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. - Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. - Jiashun Wang, Xueting Li, Sifei Liu, Shalini De Mello, Orazio Gallo, Xiaolong Wang, Jan Kautz:
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. - Keyi Chen, Francesco Orabona:
Generalized Implicit Follow-The-Regularized-Leader. - Adrian Shuai Li, Elisa Bertino, Rih-Teng Wu, Ting-Yan Wu:
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation. - Yan Pan, Yuanzhi Li:
Toward Understanding Why Adam Converges Faster Than SGD for Transformers. - Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan:
Representation Reliability and Its Impact on Downstream Tasks. - Santosh Kesiraju, Marek Sarvas, Tomás Pavlícek, Cécile Macaire, Alejandro Ciuba:
Strategies for improving low resource speech to text translation relying on pre-trained ASR models. - Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. - Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide Ebenezer Ojo, Diana Cuevas Plancarte, Anna Feldman, Jing Peng:
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms. - Peyman Gholami, Robert Xiao:
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images. - Jakob Bossek, Christian Grimme:
On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. - Mustafa Ridvan Cantas, Levent Güvenç:
Customized Co-Simulation Environment for Autonomous Driving Algorithm Development and Evaluation. - Kelly Blincoe, Markus Luczak-Rösch, Tim Miller, Matthias Galster:
Human-centric Literature on Trust for SfTI Veracity Spearhead. - Skyler Wang, Ned Cooper, Margaret Eby, Eun Seo Jo:
From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT's Impact through Disruptive Events. - Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski:
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models. - Zhengyang Liu, Stefan Mada, John Regehr:
Minotaur: A SIMD-Oriented Synthesizing Superoptimizer. - Pi-Yueh Chuang, Lorena A. Barba:
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding. - André Brasil Vieira Wyzykowski, Anil Kumar Jain:
A Universal Latent Fingerprint Enhancer Using Transformers. - Anurag Bhattacharyya, Jin-Young Kim, Lee R. Alacoque, Kai A. James:
Bio-Inspired 4D-Printed Mechanisms with Programmable Morphology. - Shampa Banik, Trapa Banik, S. M. Mostaq Hossain, Sohag Kumar Saha:
Implementing Man-in-the-Middle Attack to Investigate Network Vulnerabilities in Smart Grid Test-bed. - Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. - Nasif Imtiaz, Preya Shabrina, Laurie A. Williams:
Trusting code in the wild: A social network-based centrality rating for developers in the Rust ecosystem. - Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama:
Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space. - Hugo Prod'homme, Philipp del Hougne:
Efficient Computation of Physics-Compliant Channel Realizations for (Rich-Scattering) RIS-Parametrized Radio Environments. - Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu
, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs:
Fine-Grained Property Value Assessment using Probabilistic Disaggregation. - Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai:
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. - Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. - Ricardo Legarda-Saenz, Jorge L. Flores, Manuel Servin, Anabel Martín-González:
Wavefront reconstruction of discontinuous phase objects from optical deflectometry. - Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Amina Mardiyyah Rufai, Sahib Singh:
AfriNames: Most ASR models "butcher" African Names. - Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. - Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. - Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman:
Maximal Domain Independent Representations Improve Transfer Learning. - Vrushabh Zinage, Ali Reza Pedram, Takashi Tanaka:
Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation. - Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao:
Doubly Robust Self-Training.