Katydid

36 ms·

1. 391.▲
   On-Chip Network Topology for High Energy Efficiency and Scalability [pdf](users.ece.cmu.edu)

   2 points by Katydid 9y ago|1 comments
2. 392.▲
   Challenging Images for Minds and Machines(openreview.net)

   3 points by Katydid 9y ago|0 comments
3. 393.▲
   Programmable Networks Train Neural Nets Faster(nextplatform.com)

   4 points by Katydid 9y ago|0 comments
4. 394.▲
   Scalability in the Presence of Variability [pdf](d-scholarship.pitt.edu)

   4 points by Katydid 9y ago|0 comments
5. 395.▲
   AI Risk Mitigation Through Democratic Governance [pdf](aies-conference.com)

   2 points by Katydid 9y ago|0 comments
6. 396.▲
   Leveraging Adiabatic Quantum Computation for Election Forecasting(arxiv.org)

   3 points by Katydid 9y ago|0 comments
7. 397.▲
   Deep Learning with Data Dependent Implicit Activation Function(arxiv.org)

   4 points by Katydid 9y ago|0 comments
8. 398.▲
   Deep Learning in Neuroradiology(ajnr.org)

   2 points by Katydid 9y ago|0 comments
9. 399.▲
   Establishing Early Neural Network Standards(nextplatform.com)

   3 points by Katydid 9y ago|0 comments
10. 400.▲
    Even at the Edge, Scale Is the Real Challenge(nextplatform.com)

    5 points by Katydid 9y ago|0 comments
11. 401.▲
    Adversarial Spheres (Google Research)(research.google.com)

    2 points by Katydid 9y ago|0 comments
12. 402.▲
    Face Detection Using Improved Faster RCNN [pdf](arxiv.org)

    3 points by Katydid 9y ago|0 comments
13. 403.▲
    Low Cost Compressed Representation for RDF Query Processing in GPUs(dl.acm.org)

    2 points by Katydid 9y ago|0 comments
14. 404.▲
    Supercomputing Storage Gets Unexpected GPU Boost from Gaming Pioneer(nextplatform.com)

    6 points by Katydid 9y ago|0 comments
15. 405.▲
    A Survey on Acceleration of Deep Convolutional Neural Networks(arxiv.org)

    3 points by Katydid 9y ago|0 comments
16. 406.▲
    Deploying Scalable and Simple RDMA as a Service in Datacenters(arxiv.org)

    3 points by Katydid 9y ago|0 comments
17. 407.▲
    Regulating Artificial Intelligence Proposal for a Global Solution [pdf](aies-conference.com)

    2 points by Katydid 9y ago|0 comments
18. 408.▲
    AI Will Not Be Taking Away Code Jobs Anytime Soon(nextplatform.com)

    44 points by Katydid 9y ago|24 comments
19. 409.▲
    Explanation of Deep Neural Networks via Autoencoded Activations(arxiv.org)

    2 points by Katydid 9y ago|0 comments
20. 410.▲
    Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices [pdf](aies-conference.com)

    2 points by Katydid 9y ago|0 comments
21. 411.▲
    Analysis and Synthesis of Floating-Point Programs (Dagstuhl Seminar) [pdf](drops.dagstuhl.de)

    1 points by Katydid 9y ago|0 comments
22. 412.▲
    To understand deep learning we need to understand kernel learning(arxiv.org)

    4 points by Katydid 9y ago|0 comments
23. 413.▲
    Fully Unsupervised Learning of Time-Domain Features(arxiv.org)

    2 points by Katydid 9y ago|0 comments
24. 414.▲
    Transparency in Deep Reinforcement Learning Neural Networks [pdf](aies-conference.com)

    2 points by Katydid 9y ago|0 comments
25. 415.▲
    Adversarial Vulnerability of Neural Networks Increases with Input Dimension(arxiv.org)

    2 points by Katydid 9y ago|0 comments
26. 416.▲
    Mixed Precision Training of CNNs Using Integer Operations (Intel Labs)(arxiv.org)

    1 points by Katydid 9y ago|0 comments
27. 417.▲
    Framework for Monitoring Heterogeneous Multi-Accelerator HPC Cluster [pdf](researchgate.net)

    2 points by Katydid 9y ago|0 comments
28. 418.▲
    Analytical Cost Metrics: Days of Future Past (LANL)(arxiv.org)

    1 points by Katydid 9y ago|0 comments
29. 419.▲
    Just How Large Can Nvidia’s Datacenter Business Grow?(nextplatform.com)

    2 points by Katydid 9y ago|0 comments
30. 420.▲
    Different Server Workhorses for Different Workload Courses(nextplatform.com)

    2 points by Katydid 9y ago|0 comments