Summary of Robustly Overfitting Latents For Flexible Neural Image Compression, by Yura Perugachi-diaz et al.
Robustly overfitting latents for flexible neural image compressionby Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai BhulaiFirst submitted…
Summary of Manipulating Predictions Over Discrete Inputs in Machine Teaching, by Xiaodong Wu et al.
Manipulating Predictions over Discrete Inputs in Machine Teachingby Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing…
Summary of Solving Boltzmann Optimization Problems with Deep Learning, by Fiona Knoll et al.
Solving Boltzmann Optimization Problems with Deep Learningby Fiona Knoll, John T. Daly, Jess J. MeyerFirst…
Summary of Game-theoretic Unlearnable Example Generator, by Shuang Liu and Yihan Wang and Xiao-shan Gao
Game-Theoretic Unlearnable Example Generatorby Shuang Liu, Yihan Wang, Xiao-Shan GaoFirst submitted to arxiv on: 31…
Summary of Robust Prompt Optimization For Defending Language Models Against Jailbreaking Attacks, by Andy Zhou and Bo Li and Haohan Wang
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacksby Andy Zhou, Bo Li, Haohan…
Summary of H2o-danube-1.8b Technical Report, by Philipp Singer et al.
H2O-Danube-1.8B Technical Reportby Philipp Singer, Pascal Pfeiffer, Yauhen Babakhin, Maximilian Jeblick, Nischay Dhankhar, Gabor Fodor,…
Summary of Robust Kernel Sparse Subspace Clustering, by Ivica Kopriva
Robust Kernel Sparse Subspace Clusteringby Ivica KoprivaFirst submitted to arxiv on: 30 Jan 2024CategoriesMain: Machine…
Summary of Enhancing Gaussian Process Surrogates For Optimization and Posterior Approximation Via Random Exploration, by Hwanwoo Kim and Daniel Sanz-alonso
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Explorationby Hwanwoo Kim, Daniel…
Summary of Molpla: a Molecular Pretraining Framework For Learning Cores, R-groups and Their Linker Joints, by Mogan Gim et al.
MolPLA: A Molecular Pretraining Framework for Learning Cores, R-Groups and their Linker Jointsby Mogan Gim,…
Summary of In-flow: Instance Normalization Flow For Non-stationary Time Series Forecasting, by Wei Fan et al.
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecastingby Wei Fan, Shun Zheng, Pengyang Wang,…