Tune: A Research Platform for Distributed Model Selection and Training

13 July 2018

Papers citing "Tune: A Research Platform for Distributed Model Selection and Training"

50 / 123 papers shown

Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Ren Wang Pengcheng Zhou 39 0 0 07 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 47 0 0 03 May 2025
Neural Encoding and Decoding at Scale Yizi Zhang Yanchen Wang Mehdi Azabou Alexandre Andre Zixuan Wang Hanrui Lyu International Brain Laboratory Eva L. Dyer Liam Paninski Cole Hurwitz AI4CE 34 1 0 11 Apr 2025
Optimal Invariant Bases for Atomistic Machine Learning Alice Allen Emily Shinkle Roxana Bujack Nicholas Lubbers 37 0 0 30 Mar 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 92 0 0 24 Feb 2025
Resolving Oversmoothing with Opinion Dissensus Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 60 1 0 31 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 69 0 0 23 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 41 0 0 31 Dec 2024
MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets Joanne Boisson Arif Mehmood Jose Camacho-Collados 69 0 0 27 Nov 2024
Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction Rotem Atari Eran Bamani A. Sintov 30 0 0 12 Nov 2024
Multi-view biomedical foundation models for molecule-target and property prediction Parthasarathy Suryanarayanan Yunguang Qiu Shreyans Sethi Diwakar Mahajan Hongyang Li ... Bum Chul Kwon Pablo Meyer Feixiong Cheng Jianying Hu Joseph A. Morrone AI4CE 36 0 0 25 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 48 1 0 09 Oct 2024
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 31 0 0 26 Sep 2024
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis Alberto Archetti Eugenio Lomurno Diego Piccinotti Matteo Matteucci 42 2 0 20 Sep 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 29 0 0 18 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 39 3 0 09 Sep 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes Jonathan D. McCart Andrew R. Sedler Christopher Versteeg Domenick M. Mifsud Mattia Rigotti-Thompson C. Pandarinath DiffM SyDa 28 1 0 30 Jul 2024
Towards Scalable and Versatile Weight Space Learning Konstantin Schurholt Michael W. Mahoney Damian Borth 50 15 0 14 Jun 2024
LT4SG@SMM4H24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models Dasun Athukoralage Thushari Atapattu M. Thilakaratne Katrina Falkner LM&MA 23 0 0 11 Jun 2024
Guided Multi-objective Generative AI to Enhance Structure-based Drug Design Amit Kadan Kevin Ryczko Erika Lloyd A. Roitberg Takeshi Yamazaki 93 1 0 20 May 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 12 0 22 Feb 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 56 14 0 22 Feb 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes Juhwan Choi Kyohoon Jin Junho Lee Sangmin Song Youngbin Kim 24 1 0 08 Feb 2024
Producing Plankton Classifiers that are Robust to Dataset Shift Cheng Chen S. Kyathanahally Marta Reyes Stefanie Merkli E. Merz Emanuele Francazi Marvin Hoege F. Pomati Marco Baity-Jesi 23 2 0 25 Jan 2024
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 61 2 0 24 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 32 9 0 15 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 29 10 0 09 Nov 2023
Robust Adversarial Defense by Tensor Factorization Manish Bhattarai M. C. Kaymak Ryan Barron Ben Nebgen Kim Ø. Rasmussen Boian Alexandrov AAML 27 2 0 03 Sep 2023
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators H. Esmaeilzadeh Soroush Ghodrati A. Kahng Joo-Young Kim Sean Kinzer ... R. Mahapatra Susmita Dey Manasi S. Sapatnekar Zhiang Wang Ziqing Zeng 19 4 0 23 Aug 2023
Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data Gregory Sech Paolo Soleni Wouter B. Verschoof-van der Vaart vZiga Kokalj Arianna Traviglia M. Fiorucci 22 1 0 07 Jul 2023
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation Dimosthenis Antypas Jose Camacho-Collados 51 21 0 04 Jul 2023
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection Aidan O. T. Hogg Mads Jenkins Helena E. Liu Isaac Squires Samuel J. Cooper L. Picinali 28 13 0 09 Jun 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 42 5 0 25 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 27 50 0 14 May 2023
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values Gregor Guncar M. Kukar Tim Smole Saso Moskon T. Vovko ... M. Brvar Mateja Notar Manca Köster Marjeta Tuvsek Jelenc Marko Notar 20 3 0 13 May 2023
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning Muhammad Burhan Hafez Tilman Immisch Tom Weber S. Wermter CLL 23 4 0 03 May 2023
ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention Alec Diaz-Arias Dmitriy Shin ViT 18 10 0 04 Apr 2023
Contrastive Learning Is Spectral Clustering On Similarity Graph Zhi-Hao Tan Yifan Zhang Jingqin Yang Yang Yuan SSL 54 18 0 27 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 27 13 0 11 Mar 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping R. Cipollone G. D. Giacomo Marco Favorito Luca Iocchi F. Patrizi OffRL 37 2 0 28 Feb 2023
Paramater Optimization for Manipulator Motion Planning using a Novel Benchmark Set Carl Gäbert Sascha Kaden B. Fischer Ulrike Thomas 13 1 0 28 Feb 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 29 2 0 28 Feb 2023
Aligned Diffusion Schrödinger Bridges Vignesh Ram Somnath Matteo Pariset Ya-Ping Hsieh María Rodríguez Martínez Andreas Krause Charlotte Bunne DiffM 117 30 0 22 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 31 30 0 10 Feb 2023
AutoNMT: A Framework to Streamline the Research of Seq2Seq Models Salvador Carrión F. Casacuberta 27 2 0 09 Feb 2023
Deep learning enhanced noise spectroscopy of a spin qubit environment Stefano Martina S. Hernández-Gómez S. Gherardini Filippo Caruso N. Fabbri 16 8 0 12 Jan 2023
Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals Juan Vazquez-Rodriguez G. Lefebvre Julien Cumin James L. Crowley 23 12 0 22 Dec 2022
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach Pavol Mulinka Subham S. Sahoo Charalampos Kalalas P. H. Nardelli 22 3 0 07 Dec 2022
A Topological Deep Learning Framework for Neural Spike Decoding Edward C. Mitchell Brittany Story D. Boothe P. Franaszczuk Vasileios Maroulas 34 8 0 01 Dec 2022