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2022

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Tim Dockhorn, Arash Vahdat, Karsten Kreis

ICLR

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

ICLR

Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators

Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar

DAGguise: Mitigating Memory Timing Side Channels

Peter W. Deutsch, Yuheng Yang, Thomas Bourgeat, Jules Drean, Joel Emer, Mengjia Yan

Reinforcement Learning for Datacenter Congestion Control

Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor

DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder

Haoyu Yang, Shuhe Li, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu

Best Paper Award

Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

ICRA

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation

Yunzhi Lin, Jonathan Tremblay, Stephen Tyree, Patricio A. Vela, Stan Birchfield

ICRA

Displacement-Invariant Cost Computation for Efficient Stereo Matching

Yiran Zhong, Charles Loop, Wonmin Byeon, Stan Birchfield, et al.

Machine Learning and Algorithms: Let Us Team Up for EDA

Mark Haoxing Ren, Brucek Khailany, Matt Fojtik, Yanqing Zhang

Steve Keckler, Dejan Milojicic

GPU Subwarp Interleaving

Sana Damani, Mark Stephenson, Ram Rangan, Daniel Johnson, Rishkul Kulkarni, Steve Keckler

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

Jonathan Tremblay, Moustafa Meshry, Stan Birchfield, Alex Evans, Jan Kautz, Alex Keller, Sameh Khamis, Charles Loop, Nate Morrical, Thomas Müller, Koki Nagano, Towaki Takikawa, Stan Birchfield