research
∙
08/02/2023
DPA Load Balancer: Load balancing for Data Parallel Actor-based systems
In this project we explore ways to dynamically load balance actors in a ...
share
research
∙
06/28/2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
In recent years, Transformer-based language models have become the stand...
research
∙
06/02/2023
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems
The complexity of Machine Learning (ML) systems increases each year, wit...
research
∙
05/20/2023
Movie101: A New Movie Understanding Benchmark
To help the visually impaired enjoy movies, automatic movie narrating sy...
research
∙
05/15/2023
Edit As You Wish: Video Description Editing with Multi-grained Commands
Automatically narrating a video with natural language can assist people ...
research
∙
05/11/2023
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
The ability to automatically detect and track surgical instruments in en...
research
∙
04/28/2023
Uncertainty-aware Self-supervised Learning for Cross-domain Technical Skill Assessment in Robot-assisted Surgery
Objective technical skill assessment is crucial for effective training o...
research
∙
04/03/2023
Bringing Telepresence to Every Desk
In this paper, we work to bring telepresence to every desktop. Unlike co...
research
∙
03/31/2023
Automatic Detection of Out-of-body Frames in Surgical Videos for Privacy Protection Using Self-supervised Learning and Minimal Labels
Endoscopic video recordings are widely used in minimally invasive robot-...
research
∙
02/13/2023
CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, act...
research
∙
02/02/2023
Effective Random Test Generation for Deep Learning Compilers
Deep learning compilers help address difficulties of deploying deep lear...
research
∙
12/08/2022
Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge
Timely and effective feedback within surgical training plays a critical ...
research
∙
07/10/2022
A Forward Propagation Algorithm for Online Optimization of Nonlinear Stochastic Differential Equations
Optimizing over the stationary distribution of stochastic differential e...
research
∙
02/14/2022
Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations
We develop a new continuous-time stochastic gradient descent method for ...
research
∙
08/19/2021
Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning
Actor-critic algorithms are widely used in reinforcement learning, but a...
research
∙
05/26/2021
Compiling Halide Programs to Push-Memory Accelerators
Image processing and machine learning applications benefit tremendously ...
research
∙
02/26/2021
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
Surgical data science is revolutionizing minimally invasive surgery by e...
research
∙
01/20/2021
SparseDNN: Fast Sparse Deep Learning Inference on CPUs
The last few years have seen gigantic leaps in algorithms and systems to...
research
∙
08/26/2020
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
In recent years, there has been a flurry of research in deep neural netw...
research
∙
10/10/2019
Structured Pruning of Large Language Models
Large language models have recently achieved state of the art performanc...
research
∙
08/15/2019
Accelerated CNN Training Through Gradient Approximation
Training deep convolutional neural networks such as VGG and ResNet by gr...
research
∙
06/12/2019
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach
Providing an accurate and efficient assessment of operative difficulty i...
research
∙
06/15/2018
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks
Purpose: This paper focuses on an automated analysis of surgical motion ...
research
∙
06/15/2018
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery
With the advent of robot-assisted surgery, the role of data-driven appro...
research
∙
10/21/2017
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling
Many computer vision applications involve modeling complex spatio-tempor...
research
∙
09/18/2017
