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A Federated Learning Framework in Smart Grid: Securing Power Traces in Collaborative Learning
With the deployment of smart sensors and advancements in communication t...
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Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
We study text representation methods using deep models. Current methods,...
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RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
Many emerging cyber-physical systems, such as autonomous vehicles and ro...
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Disentangled Recurrent Wasserstein Autoencoder
Learning disentangled representations leads to interpretable models and ...
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On the Convergence of Tsetlin Machines for the XOR Operator
The Tsetlin Machine (TM) is a novel machine learning algorithm with seve...
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Affinely representable lattices, stable matchings, and choice functions
Birkhoff's representation theorem (Birkhoff, 1937) defines a bijection b...
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Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
There is considerable evidence that deep neural networks are vulnerable ...
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On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
The Tsetlin Machine (TM) is a recent machine learning algorithm with sev...
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Impact of Bias on School Admissions and Targeted Interventions
There is an inherent problem in the way students are evaluated - be it s...
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Machine Translation System Selection from Bandit Feedback
Adapting machine translation systems in the real world is a difficult pr...
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OralCam: Enabling Self-Examination and Awareness of Oral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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OralCam: Enabling Self-Examination and Awareness ofOral Health Using a Smartphone Camera
Due to a lack of medical resources or oral health awareness, oral diseas...
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RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
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Quaternion Product Units for Deep Learning on 3D Rotation Groups
We propose a novel quaternion product unit (QPU) to represent data on 3D...
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Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
Recent works propose neural network- (NN-) inspired analog-to-digital co...
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Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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Evaluating Ordering Strategies of Star Glyph Axes
Star glyphs are a well-researched visualization technique to represent m...
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The Architectural Implications of Facebook's DNN-based Personalized Recommendation
The widespread application of deep learning has changed the landscape of...
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Curriculum Learning for Domain Adaptation in Neural Machine Translation
We introduce a curriculum learning approach to adapt generic neural mach...
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A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
In this paper, we apply a new promising tool for pattern classification,...
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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Machine translation systems based on deep neural networks are expensive ...
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SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification
Holistic person re-identification (ReID) has received extensive study in...
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Legal Assignments and fast EADAM with consent via classical theory of stable matchings
Gale and Shapley's college admission problem and concept of stability (G...
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Robust Distributed Compression of Symmetrically Correlated Gaussian Sources
Consider a lossy compression system with ℓ distributed encoders and a ce...
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AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference
The intrinsic error tolerance of neural network (NN) makes approximate c...
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Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project
Although many methods perform well in single camera tracking, multi-came...
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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
In this paper, we propose a novel method called AlignedReID that extract...
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