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Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels
Online gaming is a multi-billion-dollar industry, which is growing faste...
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Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
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Evolving Search Space for Neural Architecture Search
The automation of neural architecture design has been a coveted alternat...
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PV-NAS: Practical Neural Architecture Search for Video Recognition
Recently, deep learning has been utilized to solve video recognition pro...
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Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
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Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
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Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
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Attacking Recommender Systems with Augmented User Profiles
Recommendation Systems (RS) have become an essential part of many online...
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Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
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FLEN: Leveraging Field for Scalable CTR Prediction
Click-Through Rate (CTR) prediction has been an indispensable component ...
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Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
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AM-LFS: AutoML for Loss Function Search
Designing an effective loss function plays an important role in visual a...
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Online Hyper-parameter Learning for Auto-Augmentation Strategy
Data augmentation is critical to the success of modern deep learning tec...
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Synaptic Strength For Convolutional Neural Network
Convolutional Neural Networks(CNNs) are both computation and memory inte...
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