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Found 6 papers, 0 papers with code
Emotion Recognition Using Transformers with Masked Learning
In recent years, deep learning has achieved innovative advancements in various fields, including the analysis of human emotions and behaviors.
Failure Tolerant Training with Persistent Memory Disaggregation over CXL
This paper proposes TRAININGCXL that can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low overhead.
Hardware/Software Co-Programmable Framework for Computational SSDs to Accelerate Deep Learning Service on Large-Scale Graphs
In contrast to traditional deep learning, unique behaviors of the emerging GNNs are engaged with a large set of graphs and embedding data on storage, which exhibits complex and irregular preprocessing.
Controllable Image Restoration for Under-Display Camera in Smartphones
However, this causes inevitable image degradation in the form of spatially variant blur and noise because of the opaque display in front of the camera.
Inference of stochastic time series with missing data
At the initial iteration of the EM algorithm, the model inference shows better model-data consistency with observed data points than with missing data points.
An Effective Pipeline for a Real-world Clothes Retrieval System
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data.
