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20082022
most citedA Survey of FPGA-Based Neural Network Accelerator

140 citations · 719 across the 50 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.LG2021★ 14 cited

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

Jiayu Chen, Yuanxin Zhang, Yuanfan Xu +5

We introduce a curriculum learning algorithm, Variational Automatic Curriculum Learning (VACL), for solving challenging goal-conditioned cooperative multi-agent reinforcement learn…

cs.RO2021★ 3 cited

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

Weilin Liu, Ye Mu, Chao Yu +6

Discovering hazardous scenarios is crucial in testing and further improving driving policies. However, conducting efficient driving policy testing faces two key challenges. On the…

cs.CV2021★ 2 cited

Learning Efficient Multi-Agent Cooperative Visual Exploration

Chao Yu, Xinyi Yang, Jiaxuan Gao +3

We tackle the problem of cooperative visual exploration where multiple agents need to jointly explore unseen regions as fast as possible based on visual signals. Classical planning…

cs.LG2021★ 2 cited

Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness

Yi Cai, Xuefei Ning, Huazhong Yang +1

Adversarial attacks have rendered high security risks on modern deep learning systems. Adversarial training can significantly enhance the robustness of neural network models by sup…

eess.SP2021★ 18 cited

Machine Learning for Electronic Design Automation: A Survey

Guyue Huang, Jingbo Hu, Yifan He +13

With the down-scaling of CMOS technology, the design complexity of very large-scale integrated (VLSI) is increasing. Although the application of machine learning (ML) techniques in…

cs.ET2021

Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs

Guodong Yin, Yi Cai, Juejian Wu +6

Compute-in-memory (CiM) is a promising approach to alleviating the memory wall problem for domain-specific applications. Compared to current-domain CiM solutions, charge-domain CiM…

cs.ET2021

Dynamic Ternary Content-Addressable Memory Is Indeed Promising: Design and Benchmarking Using Nanoelectromechanical Relays

Hongtao Zhong, Shengjie Cao, Huazhong Yang +1

Ternary content addressable memory (TCAM) has been a critical component in caches, routers, etc., in which density, speed, power efficiency, and reliability are the major design ta…