Title
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications Andrew Zhu Liam Dugan Alyssa Hwang Chris Callison-Burch VLM 61 9 0 11 Sep 2023
Mutation-based Fault Localization of Deep Neural Networks Ali Ghanbari Deepak-George Thomas Muhammad Arbab Arshad Hridesh Rajan 47 14 0 10 Sep 2023
Continual Robot Learning using Self-Supervised Task Inference Muhammad Burhan Hafez Stefan Wermter CLL SSL 45 6 0 10 Sep 2023
pPython Performance Study Chansup Byun William Arcand David Bestor Bill Bergeron V. Gadepally ... Albert Reuther Antonio Rosa S. Samsi Charles Yee J. Kepner LRM 27 2 0 07 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 65 4 0 05 Sep 2023
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations Nikolaos-Antonios Ypsilantis Kaifeng Chen Bingyi Cao Mário Lipovský Pelin Dogan-Schönberger Grzegorz Makosa Boris Bluntschli Mojtaba Seyedhosseini Ondrej Chum André Araujo SSL 100 14 0 04 Sep 2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning Dejan Grubisic Bram Wasti Chris Cummins John Mellor-Crummey A. Zlateski 67 1 0 04 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 115 7 0 29 Aug 2023
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization Shuzhang Zhong Meng Li Yun Liang Runsheng Wang Ru Huang GNN 36 3 0 26 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 55 2 0 26 Aug 2023
Linear Oscillation: A Novel Activation Function for Vision Transformer Juyoung Yun LLMSV 43 0 0 25 Aug 2023
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems Ahmed Haj Yahmed Rached Bouchoucha Houssem Ben Braiek Foutse Khomh CLL AI4CE 66 0 0 23 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 96 21 0 23 Aug 2023
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models F. Bockting Stefan T. Radev Paul-Christian Bürkner 59 12 0 22 Aug 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Peng Li Zhiyi Chen Xu Chu Kexin Rong 71 13 0 20 Aug 2023
Neural Architectures Learning Fourier Transforms, Signal Processing and Much More.... Prateek Verma 44 0 0 20 Aug 2023
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling Jiaqi Yin Cunxi Yu 48 2 0 19 Aug 2023
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations Monika Nagy-Huber Volker Roth AI4CE PINN 70 4 0 18 Aug 2023
Generalized Sum Pooling for Metric Learning †. YetiZ.Gürbüz Ozan Sener Alatan RSiM FedML 86 7 0 18 Aug 2023
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees Ali Ramezani-Kebrya Kimon Antonakopoulos Igor Krawczuk Justin Deschenaux Volkan Cevher 77 4 0 17 Aug 2023
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse Yi-Kai Zhang Lu Ren Chao Yi Qiwen Wang De-Chuan Zhan Han-Jia Ye 63 2 0 17 Aug 2023
Separable Gaussian Neural Networks: Structure, Analysis, and Function Approximations S. Xing Jianqiao Sun 22 6 0 13 Aug 2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters Jiajun Huang Sheng Di Xiaodong Yu Yujia Zhai Jinyang Liu ... Xiaoyi Lu Zizhong Chen Franck Cappello Yan-Hua Guo R. Thakur 73 9 0 09 Aug 2023
Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects K. Kwarciak Marek Wodzinski MedIm 47 4 0 09 Aug 2023
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 83 3 0 07 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 100 9 0 05 Aug 2023
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment Yasin Shokrollahi Pengfei Dong Xianqi Li Linxia Gu MedIm 29 3 0 03 Aug 2023
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control Daniel Mayfrank Alexander Mitsos Manuel Dahmen 71 3 0 03 Aug 2023
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science Omri Suissa Avshalom Elmalech M. Zhitomirsky-Geffet AI4CE 57 48 0 30 Jul 2023
Pupil Learning Mechanism R. Tsaih Yu-Hang Chien S. Chien 31 0 0 30 Jul 2023
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Wei Ma Mike Papadakis Yves Le Traon NoLa OOD 63 5 0 29 Jul 2023
JFinder: A Novel Architecture for Java Vulnerability Identification Based Quad Self-Attention and Pre-training Mechanism Jin Wang Zishan Huang Hui Xiao Yinhao Xiao 53 2 0 29 Jul 2023
Bug Characterization in Machine Learning-based Systems Mohammad Mehdi Morovati Amin Nikanjam Florian Tambon Foutse Khomh Zhen Ming Z. Jiang 68 22 0 26 Jul 2023
An Empirical Study on Bugs Inside PyTorch: A Replication Study Sharon Chee Yin Ho Vahid Majdinasab Mohayeminul Islam D. Costa Emad Shihab Foutse Khomh Sarah Nadi Muhammad Raza 68 7 0 25 Jul 2023
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes Sebastian Strönisch Maximilian Sander A. Knüpfer M. Meyer AI4CE 88 8 0 25 Jul 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification Haocong Rao Cyril Leung Steven C. H. Hoi 3DH 94 8 0 24 Jul 2023
KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud Experiments Daniel Rosendo K. Keahey Alexandru Costan Matthieu Simonin P. Valduriez Gabriel Antoniu 45 4 0 24 Jul 2023
Monadic Deep Learning Bo Yang Kirisame Marisa Kai Shi 26 0 0 23 Jul 2023
Project Florida: Federated Learning Made Easy Daniel Madrigal Diaz Andre Manoel Jia-Lve Chen Nalin Singal Robert Sim 53 4 0 21 Jul 2023
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search Shengli Jiang Shiyi Qin Reid C. Van Lehn Prasanna Balaprakash Victor M. Zavala AI4CE 84 7 0 19 Jul 2023
Accurate deep learning sub-grid scale models for large eddy simulations Rikhi Bose Anisha Roy 62 10 0 19 Jul 2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing Qifang Zhao Tianyu Li Meng Du Yu-lin Jiang Qinghui Sun Zhongyao Wang Hong Liu Huan Xu 54 1 0 19 Jul 2023
Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysis Szu-Chi Chung 60 1 0 19 Jul 2023
Deep unrolling Shrinkage Network for Dynamic MR imaging Yinghao Zhang Xiaodi Li Weihang Li Yue Hu 60 4 0 19 Jul 2023
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization G. Drakoulas T. Gortsas D. Polyzos 105 5 0 18 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 54 4 0 18 Jul 2023
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo Rui Li Hao-Tong Ye Du Jiang Xuelan Wen Chuwei Wang ... Xiang Li Di He Ji Chen Weiluo Ren Liwei Wang 90 11 0 17 Jul 2023
EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue Xiaoming Shi Zhixuan Chu Yan Wang Hongyan Hao ... Chenyuan Pan James Y. Zhang Qingsong Wen Junqing Zhou Hongyuan Mei AI4TS 113 32 0 16 Jul 2023
Towards Generalizable Detection of Urgency of Discussion Forum Posts Valdemar Švábenský Ryan S. Baker A. F. Zambrano Yishan Zou Stefan Slater 121 4 0 14 Jul 2023
MGit: A Model Versioning and Management System Wei Hao Daniel Mendoza Rafael Ferreira da Silva Deepak Narayanan Amar Phanishayee VLM 51 1 0 14 Jul 2023