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08/16/2023
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration
Researchers constantly strive to explore larger and more complex search ...
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05/27/2023
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
Deployment of Transformer models on the edge is increasingly challenging...
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05/26/2023
Im-Promptu: In-Context Composition from Image Prompts
Large language models are few-shot learners that can solve diverse tasks...
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05/09/2023
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Modern advances in machine learning (ML) and wearable medical sensors (W...
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05/08/2023
SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention
The randomized controlled trial (RCT) is the gold standard for estimatin...
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03/27/2023
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
Automated co-design of machine learning models and evaluation hardware i...
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03/24/2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms
Automated design of efficient transformer models has recently attracted ...
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02/28/2023
AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers
Self-attention-based transformer models have achieved tremendous success...
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01/11/2023
ML-FEED: Machine Learning Framework for Efficient Exploit Detection (Extended version)
Machine learning (ML)-based methods have recently become attractive for ...
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12/07/2022
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework
Recently, automated co-design of machine learning (ML) models and accele...
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08/17/2022
CTRL: Clustering Training Losses for Label Error Detection
In supervised machine learning, use of correct labels is extremely impor...
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07/09/2022
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare
The Synthetic Control method has pioneered a class of powerful data-driv...
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05/23/2022
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
The existence of a plethora of language models makes the problem of sele...
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08/07/2021
Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
The core network architecture of telecommunication systems has undergone...
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05/31/2021
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security
Internet-of-Things (IoT) and cyber-physical systems (CPSs) may consist o...
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04/05/2021
Fast Design Space Exploration of Nonlinear Systems: Part II
Nonlinear system design is often a multi-objective optimization problem ...
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04/05/2021
Fast Design Space Exploration of Nonlinear Systems: Part I
System design tools are often only available as blackboxes with complex ...
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02/20/2021
MHDeep: Mental Health Disorder Detection System based on Body-Area and Deep Neural Networks
Mental health problems impact quality of life of millions of people arou...
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01/07/2021
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine Learning
Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are in...
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10/19/2020
Robot Design With Neural Networks, MILP Solvers and Active Learning
Central to the design of many robot systems and their controllers is sol...
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10/12/2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors
The human brain has the ability to carry out new tasks with limited expe...
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09/21/2020
DISPATCH: Design Space Exploration of Cyber-Physical Systems
Design of cyber-physical systems (CPSs) is a challenging task that invol...
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07/29/2020
Fully Dynamic Inference with Deep Neural Networks
Modern deep neural networks are powerful and widely applicable models th...
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07/20/2020
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
The novel coronavirus (SARS-CoV-2) has led to a pandemic. Due to its hig...
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04/18/2020
Efficient Synthesis of Compact Deep Neural Networks
Deep neural networks (DNNs) have been deployed in myriad machine learnin...
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12/18/2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
We introduce DeepInversion, a new method for synthesizing images from th...
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12/12/2019
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
Neural networks (NNs) have been successfully deployed in many applicatio...
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10/11/2019
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
Diabetes impacts the quality of life of millions of people. However, dia...
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09/02/2019
SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference
CNNs outperform traditional machine learning algorithms across a wide ra...
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05/29/2019
SECRET: Semantically Enhanced Classification of Real-world Tasks
Supervised machine learning (ML) algorithms are aimed at maximizing clas...
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05/27/2019
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
Deep neural networks (DNNs) have become a widely deployed model for nume...
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04/19/2019
SCANN: Synthesis of Compact and Accurate Neural Networks
Artificial neural networks (ANNs) have become the driving force behind r...
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03/18/2019
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture
Deep neural networks (DNNs) have been shown to outperform conventional m...
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01/30/2019
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM
Many long short-term memory (LSTM) applications need fast yet compact mo...
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12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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05/30/2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Long short-term memory (LSTM) has been widely used for sequential data m...
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05/30/2018
Grow and Prune Compact, Fast, and AccurateLSTMs
Long short-term memory (LSTM) has been widely used for sequential data m...
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11/06/2017