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09/04/2023
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
Despite significant progress in semi-supervised learning for image objec...
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08/21/2023
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
Quantization scale and bit-width are the most important parameters when ...
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12/05/2022
MobileTL: On-device Transfer Learning with Inverted Residual Blocks
Transfer learning on edge is challenging due to on-device limited resour...
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11/17/2022
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers
When considering post-training quantization, prior work has typically fo...
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10/11/2022
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization
An audio-visual event (AVE) is denoted by the correspondence of the visu...
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10/09/2022
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
Open-vocabulary semantic segmentation aims to segment an image into sema...
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06/30/2022
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration
As the machine learning and systems communities strive to achieve higher...
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06/27/2022
Efficient Deep Learning Using Non-Volatile Memory Technology
Embedded machine learning (ML) systems have now become the dominant plat...
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06/22/2022
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Machine learning (ML) has entered the mobile era where an enormous numbe...
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05/28/2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Self-supervised Masked Autoencoders (MAE) are emerging as a new pre-trai...
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05/20/2022
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality
As the machine learning and systems communities strive to achieve higher...
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05/17/2022
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators
As the machine learning and systems community strives to achieve higher ...
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04/24/2021
Width Transfer: On the (In)variance of Width Optimization
Optimizing the channel counts for different layers of a CNN has shown gr...
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12/08/2020
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
Non-volatile memory (NVM) technologies such as spin-transfer torque magn...
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12/08/2020
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
With deep reinforcement learning (RL) methods achieving results that exc...
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08/22/2020
One Weight Bitwidth to Rule Them All
Weight quantization for deep ConvNets has shown promising results for ap...
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07/23/2020
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Slimmable neural networks provide a flexible trade-off front between pre...
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05/04/2020
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond
Integrated circuits and electronic systems, as well as design technologi...
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02/07/2020
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation
Fine-tuning through knowledge transfer from a pre-trained model on a lar...
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07/01/2019
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization
Can we reduce the search cost of Neural Architecture Search (NAS) from d...
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06/19/2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection
In recent years, Convolutional Neural Networks (CNNs) have shown superio...
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05/10/2019
Single-Path NAS: Device-Aware Efficient ConvNet Design
Can we automatically design a Convolutional Network (ConvNet) with the h...
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04/28/2019
LeGR: Filter Pruning via Learned Global Ranking
Filter pruning has shown to be effective for learning resource-constrain...
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04/05/2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Can we automatically design a Convolutional Network (ConvNet) with the h...
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04/05/2019
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference
To improve the throughput and energy efficiency of Deep Neural Networks ...
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04/04/2019
Regularizing Activation Distribution for Training Binarized Deep Networks
Binarized Neural Networks (BNNs) can significantly reduce the inference ...
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02/08/2019
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling
In vision-enabled autonomous systems such as robots and autonomous cars,...
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01/21/2019
Understanding the Impact of Label Granularity on CNN-based Image Classification
In recent years, supervised learning using Convolutional Neural Networks...
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10/20/2018
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
The rising use of deep learning and other big-data algorithms has led to...
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10/01/2018
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks
Resource-efficient convolution neural networks enable not only the intel...
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09/14/2018
Hardware-Aware Machine Learning: Modeling and Optimization
Recent breakthroughs in Deep Learning (DL) applications have made DL mod...
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08/05/2018
Designing Adaptive Neural Networks for Energy-Constrained Image Classification
As convolutional neural networks (CNNs) enable state-of-the-art computer...
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01/23/2018
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks
Probabilistic Boolean Networks (PBNs) have been previously proposed so a...
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12/08/2017
Priority-Aware Near-Optimal Scheduling for Heterogeneous Multi-Core Systems with Specialized Accelerators
To deliver high performance in power limited systems, architects have tu...
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12/08/2017
Task Scheduling for Heterogeneous Multicore Systems
In recent years, as the demand for low energy and high performance compu...
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12/05/2017
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems
Convolutional Neural Networks (CNNs) have shown a great deal of success ...
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12/02/2017
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks
Application-specific integrated circuit (ASIC) implementations for Deep ...
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11/30/2017
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis
Tight collaboration between experts of machine learning and manycore sys...
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10/15/2017