-
Computational cytometer based on magnetically modulated coherent imaging and ...
Computational cytometer based on magnetically modulated coherent imaging and deep learning -
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algori...
Six-bit quantization can effectively reduce the size of large language models and preserve the model quality consistently across varied applications. -
DeNeRD Dataset
A dataset of brain sections used for training and testing the DeNeRD method. -
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Netw...
The proposed scale-steerable CNN framework is validated on the MNIST-Scale and FMNIST-Scale datasets, which contain global scale variations. Additionally, a synthesized dataset,... -
Multi-Labelled Value Networks for Computer Go
A new approach to a value network architecture for the game Go, called a multi-labelled (ML) value network. The ML value network has the three advantages, offering different... -
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
CeBed is a benchmark for deep data-driven OFDM channel estimation. -
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning
Claims data from two US health systems with a general patient population and diverse payer mixes. -
LEARNABLE DISCRETE WAVELET POOLING (LDW-POOLING) FOR CONVOLUTIONAL NETWORKS
Pooling is a simple but widely used layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation... -
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Typical large-scale recommender systems use deep learning models that are stored on a large amount of DRAM. These models often rely on embeddings, which consume most of the... -
Tata Memorial Centre (TMC) Lung Cancer Dataset
The dataset used for testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images (WSIs) of lung... -
TCGA Lung Cancer Dataset
The dataset used for training and testing the proposed deep learning pipeline for tumor detection, histological subtyping, and EGFR mutation prediction from whole slide images... -
Quality control stress test for deep learning-based diagnostic model in digit...
Quality control stress test for deep learning-based diagnostic model in digital pathology. -
GiveDirectly Cash Transfer Evaluation Dataset
The dataset used in this paper is a combination of high-resolution daytime satellite images and deep learning models to evaluate the impact of anti-poverty programs. -
MERCURY: Accelerating DNN Training By Exploiting Input Similarity
MERCURY accelerates DNN training by exploiting input similarity. -
Arcade Learning Environment (ALE) and Gym MuJoCo benchmark
The dataset used in the paper is the Arcade Learning Environment (ALE) and the Gym MuJoCo benchmark. -
The Effect of the Loss on Generalization
A synthetic dataset with controlled modes of variation for lung nodule classification, designed to explore the features learned by a CNN and their effect on out-of-distribution... -
Offset Calculation
The dataset used in the paper is not explicitly described, but it is mentioned that the authors explored various strategies to optimize the memory footprint of the inference... -
Shared Objects
The dataset used in the paper is not explicitly described, but it is mentioned that the authors explored various strategies to smartly share memory buffers among intermediate... -
ECG-CODE dataset
A dataset for ECG delineation and a self-trained method for improving the quality of fiducial points prediction within an ECG record. -
Channel Attention Networks for Robust MR Fingerprinting Matching
Magnetic Resonance Fingerprinting (MRF) dataset for tissue parameter estimation
