
Mixup Without Hesitation
Mixup linearly interpolates pairs of examples to form new samples, which...
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Robust Attacks on Deep Learning Face Recognition in the Physical World
Deep neural networks (DNNs) have been increasingly used in face recognit...
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S3Net: A Fast and Lightweight Video Scene Understanding Network by Singleshot Segmentation
Realtime understanding in video is crucial in various AI applications s...
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HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
The emerging edge computing has promoted immense interests in compacting...
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On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic NonConvex Optimization
For SGD based distributed stochastic optimization, computation complexit...
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On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed NonConvex Optimization
Recent developments on largescale distributed machine learning applicat...
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HideandSeek: A Data Augmentation Technique for WeaklySupervised Localization and Beyond
We propose 'HideandSeek' a general purpose data augmentation technique...
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MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Many knowledge graph embedding methods operate on triples and are theref...
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Solving Nonsmooth Constrained Programs with Lower Complexity than O(1/ε): A PrimalDual Homotopy Smoothing Approach
We propose a new primaldual homotopy smoothing algorithm for a linearly...
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Parallel Restarted SGD for NonConvex Optimization with Faster Convergence and Less Communication
For large scale nonconvex stochastic optimization, parallel minibatch ...
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Using Complex Network Theory for Temporal Locality in Network Traffic Flows
Monitoring the interaction behaviors of network traffic flows and detect...
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Fast KMeans Clustering with Anderson Acceleration
We propose a novel method to accelerate Lloyd's algorithm for KMeans cl...
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DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization
As it requires a huge number of parameters when exposed to high dimensio...
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Loss Rank Mining: A General Hard Example Mining Method for Realtime Detectors
Modern object detectors usually suffer from low accuracy issues, as fore...
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Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Compact neural networks are inclined to exploit "sparselyconnected" con...
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Learning Aided Optimization for Energy Harvesting Devices with Outdated State Information
This paper considers utility optimal power control for energy harvesting...
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Online Convex Optimization with Stochastic Constraints
This paper considers online convex optimization (OCO) with stochastic co...
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SOHEM: Stratified Online Hard Example Mining for Object Detection
One of the major challenges in object detection is to propose detectors ...
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A GPUOutperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
FPGAbased hardware accelerators for convolutional neural networks (CNNs...
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A Binary Convolutional Encoderdecoder Network for Realtime Natural Scene Text Processing
In this paper, we develop a binary convolutional encoderdecoder network...
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A Low Complexity Algorithm with O(√(T)) Regret and Finite Constraint Violations for Online Convex Optimization with Long Term Constraints
This paper considers online convex optimization over a complicated const...
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Hao Yu
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