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06/04/2023
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
This paper proposes a distributed version of Determinant Point Processin...
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04/19/2023
Knowledge Distillation Under Ideal Joint Classifier Assumption
Knowledge distillation is a powerful technique to compress large neural ...
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04/09/2023
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
In some practical learning tasks, such as traffic video analysis, the nu...
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01/16/2023
TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting
Time series probabilistic forecasting with multi-dimensional and sporadi...
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10/10/2022
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
Answering factual questions with temporal intent over knowledge graphs (...
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07/31/2022
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
Objective: Electrocardiogram (ECG) signals commonly suffer noise interfe...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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04/12/2021
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
Deep learning recommendation models (DLRMs) are used across many busines...
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12/23/2020
Towards Boosting the Channel Attention in Real Image Denoising : Sub-band Pyramid Attention
Convolutional layers in Artificial Neural Networks (ANN) treat the chann...
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04/25/2020
Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning
Digital in-line holography is commonly used to reconstruct 3D images fro...
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01/06/2019
Channel Locality Block: A Variant of Squeeze-and-Excitation
Attention mechanism is a hot spot in deep learning field. Using channel ...
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08/27/2018
Cognitive Consistency Routing Algorithm of Capsule-network
Artificial Neural Networks (ANNs) are computational models inspired by t...
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12/22/2016
