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09/15/2023
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study
Code review is an essential activity for ensuring the quality and mainta...
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07/16/2023
Polarization Multi-Image Synthesis with Birefringent Metasurfaces
Optical metasurfaces composed of precisely engineered nanostructures hav...
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06/05/2023
Path-Specific Counterfactual Fairness for Recommender Systems
Recommender systems (RSs) have become an indispensable part of online pl...
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02/05/2023
Quantized Distributed Training of Large Models with Convergence Guarantees
Communication-reduction techniques are a popular way to improve scalabil...
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11/16/2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Federated semi-supervised learning (FSSL), facilitates labeled clients a...
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11/11/2022
StereoISP: Rethinking Image Signal Processing for Dual Camera Systems
Conventional image signal processing (ISP) frameworks are designed to re...
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11/11/2022
Differentially Private Methods for Compositional Data
Protecting individuals' private information while still allowing modeler...
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08/23/2022
FedMCSA: Personalized Federated Learning via Model Components Self-Attention
Federated learning (FL) facilitates multiple clients to jointly train a ...
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08/19/2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
DNN-based video object detection (VOD) powers autonomous driving and vid...
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10/27/2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Adversarial patch attacks that craft the pixels in a confined region of ...
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10/30/2020
Improving Dialogue Breakdown Detection with Semi-Supervised Learning
Building user trust in dialogue agents requires smooth and consistent di...
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08/06/2020
DeText: A Deep Text Ranking Framework with BERT
Ranking is the most important component in a search system. Mostsearch s...
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05/19/2020
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method
Most modern Multi-Object Tracking (MOT) systems typically apply REID-bas...
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03/27/2020
A Hybrid Lagrangian/Eulerian Collocated Advection and Projection Method for Fluid Simulation
We present a hybrid particle/grid approach for simulating incompressible...
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02/03/2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
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11/01/2019
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
Recent emerged quantization technique (i.e., using low bit-width fixed-p...
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09/18/2018
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
LinkedIn Talent Solutions business contributes to around 65 annual reven...
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09/17/2018
Towards Deep and Representation Learning for Talent Search at LinkedIn
Talent search and recommendation systems at LinkedIn strive to match the...
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07/26/2018
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Scene motion, multiple reflections, and sensor noise introduce artifacts...
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10/23/2017
BENCHIP: Benchmarking Intelligence Processors
The increasing attention on deep learning has tremendously spurred the d...
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03/29/2017
Towards thinner convolutional neural networks through Gradually Global Pruning
Deep network pruning is an effective method to reduce the storage and co...
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02/09/2017
Attribute-controlled face photo synthesis from simple line drawing
Face photo synthesis from simple line drawing is a one-to-many task as s...
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08/15/2016
Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Many works have concentrated on visualizing and understanding the inner ...
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11/28/2015
Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking
Multi-object tracking remains challenging due to frequent occurrence of ...
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04/29/2015
Intelligent Health Recommendation System for Computer Users
The time people spend in front of computers has been increasing steadily...
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07/11/2011