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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
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271 results found
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2025
2021
2021
Transferable Task Execution from Pixels through Deep Planning Domain Learning
Kei Kase, Chris Paxton, Hammad Mazhar, Tetsuya Ogata, Dieter Fox
Ground-Referenced Single-Ended Signaling: Applications for High-Density Short-Haul Communication Systems
John Wilson, Walker Turner, John Poulton
SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao,
Steve Keckler
, Zhengya Zhang
Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization
Mingjie Liu,
Walker Turner
, George Kokai, David Z. Pan,
Brucek Khailany
, Mark Haoxing Ren
MAVIREC: ML-Aided Vectored IR-Drop Estimation and Classification
Vidya A. Chhabria,
Yanqing Zhang
, Mark Haoxing Ren,
Ben Keller
,
Brucek Khailany
, Sachin S. Sapatnekar
Optimizing Image Quality for Holographic Near-eye Displays with Michelson Holography
Suyeon Choi,
Jonghyun Kim
, Yifan Peng, Gordon Wetzstein
Planning and Learning with Adaptive Lookahead
Aviv Rosenberg,
Assaf Hallak
,
Shie Mannor
,
Gal Chechik
,
Gal Dalal
Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model
Angshuman Parashar
, Prasanth Chatarasi,
Po-An Tsai
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks
Or Litany,
Haggai Maron
, David Acuna,
Jan Kautz
,
Gal Chechik
, Sanja Fidler
Standard Cell Routing with Reinforcement Learning and Genetic Algorithm in Advanced Technology Nodes
Mark Haoxing Ren,
Matt Fojtik
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve,
Haggai Maron
,
Gal Chechik
From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors
Dvir Samuel,
Yuval Atzmon
,
Gal Chechik
Data-Free Knowledge Distillation for Object Detection
Akshay Chawla,
Hongxu Danny Yin
,
Pavlo Molchanov
, Jose M. Alvarez
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman,
Gal Dalal
,
Shie Mannor
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators
Hyoukjun Kwon,
Michael Pellauer
,
Angshuman Parashar
, Tushar Krishna
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