Publications | Research

2020

Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition

Jagadeesh Balam, Jocelyn Huang, Vitaly Lavrukhin, Slyne Deng, Somshubra Majumdar, Boris Ginsburg

SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification

Nithin Rao Koluguri, Jason Li, Vitaly Lavrukhin, Boris Ginsburg

CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches

Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel Emer, Mengjia Yan

Locality-Centric Data and Threadblock Management for Massive GPUs

Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G. Rogers

BioMegatron: Larger Biomedical Domain Language Model

Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani

AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems

Guangpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Hari, Zbigniew Kalbarczyk, Ravishankar Iyer

Best Paper award

Learning Object Permanence from Video

Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation

Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu

A Programmable Approach to Neural Network Compression

Vinu Joseph, Ganesh L. Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg

“Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Andrew Hundt, Benjamin Killeen, Nicholas Greene, Hongtao Wu, Heeyeon Kwon, Chris Paxton, Gregory D Hager

Accelerating Chip Design with Machine Learning

Brucek Khailany, Haoxing (Mark) Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William Dally

Scaling Probe-Based Real-Time Dynamic Global Illumination for Production (Technical Report)

Zander Majercik, Adam Marrs, Josef Spjut, Morgan McGuire

HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

UNAS: Differentiable Architecture Search Meets Reinforcement Learning

Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz

A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset

Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta

How to Evaluate Deep Neural Network Processors: TOPS/W (Alone) Considered Harmful

Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer

UFO2: A Unified Framework towards Omni-supervised Object Detection

Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

Yang Zou, Xiaodong Yang, Zhiding Yu, B. V. K. Vijaya Kumar, Jan Kautz

Neural Holography

Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein

Weakly-Supervised 3D Hand Pose Estimation via Biomechanical Constraints

Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz

World-Consistent Video-to-Video Synthesis

Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz

Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications

Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation

Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg

Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera

Jonathan Tremblay, Stephen Tyree, Terry Mosier, Stan Birchfield

IROS

Weakly Supervised One-stage Vision and Language Disease Detection using Large Scale Pneumonia and Pneumothorax Studies

Leo Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu

ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks

Haoxing (Mark) Ren, George Kokai, Walker Turner, Ting-Sheng Ku

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks

Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh

GRANNITE: Graph Neural Network Inference for Transferable Power Estimation

Yanqing Zhang, Haoxing (Mark) Ren, Brucek Khailany

Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting

Benedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley, Aaron Lefohn, Wojciech Jarosz

Practical Product Sampling by Fitting and Composing Warps

David Hart, Matt Pharr, Thomas Müller, Ward Lopes, Morgan McGuire, Peter Shirley

Semi-Supervised StyleGAN for Disentanglement Learning

Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar