580 Results

Poster	Wed 9:00	A Quantitative Geometric Approach to Neural-Network Smoothness Zi Wang · Gautam Prakriya · Somesh Jha
Expo Demonstration	Mon 8:00	Software-Delivered AI: Using Sparse-Quantization for Fastest Inference on Deep Neural Networks Mark J Kurtz
Poster	Tue 9:00	Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister
Poster	Tue 14:00	ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences Ting-An Chen · De-Nian Yang · Ming-syan Chen
Workshop		Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction Nitzan Avidan · Moti Freiman
Workshop	Fri 3:50	Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Workshop		Post-Training Neural Network Compression With Variational Bayesian Quantization Zipei Tan · Robert Bamler
Affinity Workshop		Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models Jean-Rassaire Fouefack
Affinity Workshop	Mon 8:50	Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models. Jean-Rassaire Fouefack
Poster	Tue 9:00	Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference Vo Nguyen Le Duy · Shogo Iwazaki · Ichiro Takeuchi
Affinity Workshop		Under-Counted Tensor Completion with Neural Network-based Side Information Learner Shahana Ibrahim · Xiao Fu · Rebecca Hutchinson · Eugene Seo
Workshop		Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data Han-Bo Li · Ramon Viñas Torné · Pietro Lió