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06/01/2023
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Large language models (LLMs) have shown excellent performance on various...
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04/12/2023
A Multi-Arm Two-Stage (MATS) Design for Proof-of-Concept and Dose Optimization in Early-Phase Oncology Trials
The Project Optimus initiative by the FDA's Oncology Center of Excellenc...
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02/09/2023
Offsite-Tuning: Transfer Learning without Full Model
Transfer learning is important for foundation models to adapt to downstr...
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02/09/2023
Integration of Efficacy Biomarkers Together with Toxicity Endpoints in Immune-Oncology Dose Finding Studies
The primary objective of phase I oncology studies is to establish the sa...
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11/18/2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Large language models (LLMs) show excellent performance but are compute-...
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11/03/2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
During image editing, existing deep generative models tend to re-synthes...
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06/30/2022
On-Device Training Under 256KB Memory
On-device training enables the model to adapt to new data collected from...
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04/25/2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Deep neural networks (DNNs) have achieved unprecedented success in the f...
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10/28/2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Tiny deep learning on microcontroller units (MCUs) is challenging due to...
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10/17/2021
Network Augmentation for Tiny Deep Learning
We introduce Network Augmentation (NetAug), a new training method for im...
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09/27/2021
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
The explosive growth in video streaming requires video understanding at ...
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03/10/2021
PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades
We consider a Bayesian framework based on "probability of decision" for ...
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03/04/2021
Anycost GANs for Interactive Image Synthesis and Editing
Generative adversarial networks (GANs) have enabled photorealistic image...
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08/11/2020
Hardware-Centric AutoML for Mixed-Precision Quantization
Model quantization is a widely used technique to compress and accelerate...
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07/31/2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Self-driving cars need to understand 3D scenes efficiently and accuratel...
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07/20/2020
MCUNet: Tiny Deep Learning on IoT Devices
Machine learning on tiny IoT devices based on microcontroller units (MCU...
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06/18/2020
Differentiable Augmentation for Data-Efficient GAN Training
The performance of generative adversarial networks (GANs) heavily deteri...
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06/15/2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
We present APQ for efficient deep learning inference on resource-constra...
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04/24/2020
Lite Transformer with Long-Short Range Attention
Transformer has become ubiquitous in natural language processing (e.g., ...
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03/19/2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Conditional Generative Adversarial Networks (cGANs) have enabled control...
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10/01/2019
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos
Deep video recognition is more computationally expensive than image reco...
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09/20/2019
Alternative Analysis Methods for Time to Event Endpoints under Non-proportional Hazards: A Comparative Analysis
The log-rank test is most powerful under proportional hazards (PH). In p...
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04/24/2019
Design Automation for Efficient Deep Learning Computing
Efficient deep learning computing requires algorithm and hardware co-des...
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04/17/2019
Defensive Quantization: When Efficiency Meets Robustness
Neural network quantization is becoming an industry standard to efficien...
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11/26/2018
Joint Monocular 3D Vehicle Detection and Tracking
3D vehicle detection and tracking from a monocular camera requires detec...
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11/21/2018
HAQ: Hardware-Aware Automated Quantization
Model quantization is a widely used technique to compress and accelerate...
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11/20/2018
Temporal Shift Module for Efficient Video Understanding
The explosive growth in online video streaming gives rise to challenges ...
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02/14/2018