HALO: Hardware-Aware Learning to Optimize

von Li, Chaojian
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 9 (2020)

AUTO-NBA: EFFICIENT AND EFFECTIVE SEARCH OVER THE JOINT SPACE OF NETWORKS, BITWIDTHS, AND ACCELERATORS

von FU, YONGGAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks

von You, Haoran
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 31 of 33 (2023)

DOUBLE-WIN QUANT: AGGRESSIVELY WINNING ROBUSTNESS OF QUANTIZED DEEP NEURAL NETWORKS VIA RANDOM PRECISION TRAINING AND INFERENCE

von FU, YONGGAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

von You, Haoran
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 11 (2022)

AUTOGAN-DISTILLER: SEARCHING TO COMPRESS GENERATIVE ADVERSARIAL NETWORKS

von Fu, Yonggan
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks

von Fu, Yonggan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

Locality Sensitive Teaching

von Xu, Zhaozhuo
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

E2-TRAIN: TRAINING STATE-OF-THE-ART CNNS WITH OVER 8095 ENERGY SAVINGS

von Wang, Yue
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 7 of 20 (2020)

DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks

von Fu, Yonggan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 9 of 33 (2023)

SHIFTADDNET: A HARDWARE-INSPIRED DEEP NETWORK

von You, Haoran
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

FRACTRAIN: FRACTIONALLY SQUEEZING BIT SAVINGS BOTH TEMPORALLY AND SPATIALLY FOR EFFICIENT DNN TRAINING

von Fu, Yonggan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)