- Lucas Valença, Ian Maquignaz, Hadi Moazen, Rishikesh Madan, Yannick Hold-Geoffroy, Jean-François Lalonde:
LM-GAN: A Photorealistic All-Weather Parametric Sky Model. CoRR abs/2302.00087 (2023) - Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. CoRR abs/2302.00089 (2023) - Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR abs/2302.00093 (2023) - Son Quoc Tran, Phong Nguyen-Thuan Do, Uyen Le, Matt Kretchmar:
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models. CoRR abs/2302.00094 (2023) - Sarabjeet Singh, Xiong Fan, Ananth Krishna Prasad, Lin Jia, Anirban Nag, Rajeev Balasubramonian, Mahdi Nazm Bojnordi, Elaine Shi:
XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays. CoRR abs/2302.00095 (2023) - Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. CoRR abs/2302.00096 (2023) - Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof:
Deep Active Learning for Scientific Computing in the Wild. CoRR abs/2302.00098 (2023) - Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR abs/2302.00099 (2023) - Martin Veresko, Ming-Cheng Cheng:
Physics-informed Reduced-Order Learning from the First Principles for Simulation of Quantum Nanostructures. CoRR abs/2302.00100 (2023) - Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. CoRR abs/2302.00102 (2023) - Changlong Wu, Ananth Grama, Wojciech Szpankowski:
Online Learning in Dynamically Changing Environments. CoRR abs/2302.00103 (2023) - Parfait Atchade-Adelomou, Kent Larson:
Fourier series weight in quantum machine learning. CoRR abs/2302.00105 (2023) - Yuxi Zhao, Xiaowen Gong, Shiwen Mao:
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling. CoRR abs/2302.00106 (2023) - Zhanfeng Wang, Xinyu Zhang, Yuan-chin Ivan Chang:
Distributed sequential federated learning. CoRR abs/2302.00107 (2023) - Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel:
Learning Universal Policies via Text-Guided Video Generation. CoRR abs/2302.00111 (2023) - Anna Mpanti, Stavros D. Nikolopoulos, Leonidas Palios:
Adding an Edge in a P4-sparse Graph. CoRR abs/2302.00112 (2023) - Prince E. Kuevor, Maani Ghaffari, Ella M. Atkins, James W. Cutler:
Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. CoRR abs/2302.00113 (2023) - Dawson Fox, Jose Monsalve Diaz, Xiaoming Li:
On Memory Codelets: Prefetching, Recoding, Moving and Streaming Data. CoRR abs/2302.00115 (2023) - Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. CoRR abs/2302.00116 (2023) - Mahdieh Yazdani, Maziar Raissi:
Real Estate Property Valuation using Self-Supervised Vision Transformers. CoRR abs/2302.00117 (2023) - Bryan Zhang, Amita Misra:
Machine Translation Impact in E-commerce Multilingual Search. CoRR abs/2302.00119 (2023) - Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton:
Holistic Cube Analysis: A Query Framework for Data Insights. CoRR abs/2302.00120 (2023) - Peipei Lu, Wei Wang, Guido Kanschat, Andreas Rupp:
Homogeneous multigrid method for HDG applied to the Stokes equation. CoRR abs/2302.00121 (2023) - Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR abs/2302.00122 (2023) - Lei Li, Tianfang Zhang, Zhongfeng Kang, Wenhan Zhang:
Design and Implementation of A Soccer Ball Detection System with Multiple Cameras. CoRR abs/2302.00123 (2023) - Giacomo Albi, Marco Caliari, Elisa Calzola, Fabio Cassini:
Exponential integrators for mean-field selective optimal control problems. CoRR abs/2302.00127 (2023) - Usman Anjum, Vladimir Zadorozhny, Prashant Krishnamurthy:
TBAM: Towards An Agent-Based Model to Enrich Twitter Data. CoRR abs/2302.00128 (2023) - Fermín Moscoso del Prado Martín:
Universal Topological Regularities of Syntactic Structures: Decoupling Efficiency from Optimization. CoRR abs/2302.00129 (2023) - Bin Fu, Yumei Huo, Hairong Zhao:
Sublinear Approximation Schemes for Scheduling Precedence Graphs of Bounded Depth. CoRR abs/2302.00133 (2023)