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ORCIDCoRR, July 2023
- Ed S. Ma:
Investigating Masking-based Data Generation in Language Models. - Büsra Tabak:
Automated Assignment and Classification of Software Issues. - Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. - Nadav Cohen
, Itzik Klein:
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions. - Qasim Ajao, Lanre Sadeeq:
Overview Analysis of Recent Developments on Self-Driving Electric Vehicles. - Yuhao Cui, Xiongwei Wang, Zhongzhou Zhao, Wei Zhou, Haiqing Chen:
CASEIN: Cascading Explicit and Implicit Control for Fine-grained Emotion Intensity Regulation. - Vishvajitsinh Bakrola, Jitendra Nasariwala:
SAHAAYAK 2023 - the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation. - Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. - Guangtao Zhang, Yiting Duan, Guanyu Pan, Qijing Chen, Huiyu Yang, Zhikun Zhang:
Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients. - Christoph F. Kurz, Adriana N. König:
Machine learning for potion development at Hogwarts. - Peder Bergebakken Sundt, Theoharis Theoharis:
MARF: The Medial Atom Ray Field Object Representation. - Zenglin Shi, Ying Sun, Mengmi Zhang:
Training-free Object Counting with Prompts. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs. - Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
DisCo: Disentangled Control for Referring Human Dance Generation in Real World. - Samuel Goree, David Crandall:
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision. - Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto:
Qualitative Prediction of Multi-Agent Spatial Interactions. - Yan Gao, Yan Wang, Qiang Wang:
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation. - Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi:
Transformers in Healthcare: A Survey. - Kshitij Goel, Wennie Tabib:
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy. - Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. - Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer:
On the Limits of Single Anchor Localization: Near-Field vs Far-Field. - R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. - Stefan Hill, David Fitzek, Patrick Delfmann, Carl Corea:
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? - Juha Tiirola:
A Parts Based Registration Loss for Detecting Knee Joint Areas. - Lianxin Zhang, Yihan Huang, Zhongzhong Cao, Yang Jiao, Huihuan Qian:
Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles. - John Mark Agosta, Robert Horton:
Redeeming Data Science by Decision Modelling. - Ciera McFarland, Margaret M. Coad:
Collapse of Straight Soft Growing Inflated Beam Robots Under Their Own Weight. - Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. - Harnoor Dhingra, Preetiha Jayashanker, Sayali Moghe, Emma Strubell:
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models. - Uma Meleti, Abolfazl Razi:
Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems. - Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz:
Distance Functions and Normalization Under Stream Scenarios. - Zhexiong Liu, Cristopher Benge, Siduo Jiang:
Ticket-BERT: Labeling Incident Management Tickets with Language Models. - Prabin Sharma, Kisan Thapa, Dikshya Thapa, Prastab Dhakal, Mala Deep Upadhaya, Santosh Adhikari, Salik Ram Khanal:
Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education. - Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn:
A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction. - Vladimir Kolmogorov:
A simpler and parallelizable O(√log n)-approximation algorithm for Sparsest Cut. - Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. - Yaxiong Lei, Shijing He, Mohamed Khamis, Juan Ye:
An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. - Ali Ayub, Jainish Mehta, Zachary De Francesco, Patrick Holthaus, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
How Do Human Users Teach a Continual Learning Robot in Repeated Interactions? - Nils Kohl, Stephen F. McCormick, Rasmus Tamstorf:
Multigrid Methods using Block Floating Point Arithmetic. - Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. - Shiyu Yuan, Carlo Lipizzi:
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches. - N. Harsha Vardhan, Manav Chaudhary:
iMETRE: Incorporating Markers of Entity Types for Relation Extraction. - James Akl, Yash Patil, Chinmay Todankar, Berk Çalli:
Vision-based Oxy-fuel Torch Control for Robotic Metal Cutting. - Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli:
Generalization Limits of Graph Neural Networks in Identity Effects Learning. - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. - Jared Stewart, Mayya Tokman, Fabrizio Bisetti, Valentin Dallerit, Oscar Díaz-Ibarra:
Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians. - Peter Benner, Kathryn Lund, Jens Saak:
Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). - Ruoqi Zhang, Jens Sjölund:
Risk-sensitive Actor-free Policy via Convex Optimization. - Patrick Emami, Abhijeet Sahu, Peter Graf:
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. - Hari Venugopalan, Kaustav Goswami, Zain ul Abi Din, Jason Lowe-Power, Samuel T. King, Zubair Shafiq:
Centauri: Practical Rowhammer Fingerprinting. - Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. - Josh Pollock, Catherine Mei, Grace Huang, Daniel Jackson, Arvind Satyanarayan:
Bluefish: A Relational Grammar of Graphics. - Thatchaphol Saranurak, Wuwei Yuan:
Maximal k-Edge-Connected Subgraphs in Almost-Linear Time for Small k. - Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa:
Hierarchical Neural Coding for Controllable CAD Model Generation. - Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. - Rodrigo Raya:
The Complexity of Satisfiability Checking for Symbolic Finite Automata. - Christopher Getschmann, Florian Echtler:
LensLeech: On-Lens Interaction for Arbitrary Camera Devices. - Kevin Wils, Boyang Chen:
A symbolic approach to discrete structural optimization using quantum annealing. - Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. - Zhuonan Hao, Sangmin Lim, Mohammad Khalid Jawed:
Modeling, Characterization, and Control of Bacteria-inspired Bi-flagellated Mechanism with Tumbling. - Adrian Stando, Mustafa Cavus, Przemyslaw Biecek:
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems. - Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang:
FFPDG: Fast, Fair and Private Data Generation. - Ankita Pasad, Chung-Ming Chien, Shane Settle, Karen Livescu:
What do self-supervised speech models know about words? - Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. - Robert Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng:
U-Calibration: Forecasting for an Unknown Agent. - Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. - Benjamin A. Levinstein, Daniel A. Herrmann:
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks. - Jingcheng Li, Loukas Lazos, Ming Li:
SecBeam: Securing mmWave Beam Alignment against Beam-Stealing Attacks. - Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Nianyi Li:
Unsupervised Coordinate-Based Video Denoising. - Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Influence maximization on temporal networks: a review. - Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. - Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu:
Long-Tailed Continual Learning For Visual Food Recognition. - Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric:
Personality Traits in Large Language Models. - Jing Nan, Wei Dai, Guan Yuan, Ping Zhou:
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. - Mingchen Li, Rui Zhang:
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain. - Thomas Navidi, Abbas El Gamal, Ram Rajagopal:
Coordination of DERs for Grid Reliability via Day-ahead Demand-Supply Power Bounds. - Athindran Ramesh Kumar, Kai-Chieh Hsu, Peter J. Ramadge, Jaime F. Fisac:
Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming. - Ankit Agrawal, Bohan Zhang, Yashaswini Shivalingaiah, Michael Vierhauser, Jane Cleland-Huang:
A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles. - Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. - Renwang Li, Xiaodan Shao, Shu Sun, Meixia Tao, Rui Zhang:
Beam Scanning for Integrated Sensing and Communication in IRS-aided mmWave Systems. - Yulong Li, Andy Zeng, Shuran Song:
General Part Assembly Planning. - Huixuan Zhang, Xiaojun Wan:
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. - Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai:
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence. - Dongshen Han, Seungkyu Lee:
Internal-External Boundary Attention Fusion for Glass Surface Segmentation. - Andrew Kean Gao:
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data. - Stephen F. McCormick, Rasmus Tamstorf:
Rounding-Error Analysis of Multigrid V-Cycles. - Shu Liu, Chaoping Xing, Yaqian Zhang:
Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage. - Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Xiujian Liang, Bingshan Liu, Qichao Ying, Zhenxing Qian, Xinpeng Zhang:
StyleStegan: Leak-free Style Transfer Based on Feature Steganography. - Ye Xue, Diego Klabjan, Jean Utke:
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. - Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth:
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. - Kali Krishna Kota, M. S. S. Manasa, Praful D. Mankar, Harpreet S. Dhillon:
Statistically Optimal Beamforming and Ergodic Capacity for RIS-aided MISO Systems. - Sidike Paheding, Abel A. Reyes Angulo:
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. - Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Ziye Jia, Chao Dong, Kun Guo, Qihui Wu:
The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks. - Seda Dogan Tusha, Muhammad Iqbal Rochman, Armed Tusha, Hossein Nasiri, James Helzerman, Monisha Ghosh:
Evaluating The Interference Potential in 6 GHz: An Extensive Measurement Campaign of A Dense Indoor Wi-Fi 6E Network. - Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. - Weihang Su, Xiangsheng Li, Yiqun Liu, Min Zhang, Shaoping Ma:
THUIR2 at NTCIR-16 Session Search (SS) Task. - Gergely Bérczi, Honglu Fan, Mingcong Zeng:
An ML approach to resolution of singularities. - Anubhav Dhar, Soumita Hait, Sudeshna Kolay:
Efficient Algorithms for Euclidean Steiner Minimal Tree on Near-Convex Terminal Sets. - Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. - Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. - Koichi Fujii, Tomomi Matsui:
Solving break minimization problems in mirrored double round-robin tournament with QUBO solver. - Ying Gao, Qingqing Wu, Wen Chen, Yang Liu, Ming Li, Daniel Benevides da Costa:
IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation. - Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian:
Hierarchical Pretraining for Biomedical Term Embeddings. - Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu:
Self-Supervised Query Reformulation for Code Search. - Md Tamjid Hossain, Hung M. La:
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning. - Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Yongshang Li, Ronggui Ma, Han Liu, Gaoli Cheng:
HrSegNet : Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation. - Ruijie Yang, Yuanfang Guo, Junfu Wang, Jiantao Zhou, Yunhong Wang:
Common Knowledge Learning for Generating Transferable Adversarial Examples. - Mike A. Botchev:
On convergence of waveform relaxation for nonlinear systems of ordinary differential equations. - Rayees Ahmad Thokar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Nand Kishor Meena, Jin Yang:
Optimally Coordinated Energy Management Framework for Profit Maximization Considering Dispatchable and Non-Dispatchable Energy Resources. - Peter Gangl, Mario Gobrial, Olaf Steinbach:
A space-time finite element method for the eddy current approximation of rotating electric machines. - Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. - Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. - Daniyar Kazidenov, Sagyn Omirbekov, Meruyet Zhanabayeva, Yerlan Amanbek:
Experimental and numerical study of the effect of polymer flooding on sand production in poorly consolidated porous media. - Lennart Purucker, Joeran Beel:
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. - Lennart Purucker, Joeran Beel:
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. - Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.