Full Proceedings

Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020. C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.) (April 2020). Technical reports, Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.
 

Individual Proceedings

E. Sari, V. Partovi Nia (April 2020). Batch normalization in quantized networks, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 6–9. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montreal, Canada.

G. Boukli Hacene, V. Gripon, M. Arzel, N. Farrugia, Y. Bengio (April 2020). Pruning for efficient hardware implementations of deep neural networks, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 10–14. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

K.-A. Alahassa Nonvikan, A. Murua (April 2020). Shallow Structured Potts Neural Network Regression (S-SPNNR), In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 15–20. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

Q. Tian, T. Arbel, J.J. Clark (April 2020). Deep LDA-pruned nets and their robustness, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 21–26. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

S. Vicente, A. Murua (April 2020). Statistical learning with the determinantal point process, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 27–36. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

G. Zhang, Y. Yu (April 2020). Convergence of gradient methods on bilinear zero-sum games, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 37–43. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

X. Li, V. Partovi Nia (April 2020). Random bias initialization improves quantized training, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 44–50. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

M. Zolnouri, X. Li, V. Partovi Nia (April 2020). Importance of data loading pipeline in training deep neural networks, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 51–58. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

D. Robatian, M. Asgharian (April 2020). Semi+-supervised learning under sample selection bias, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 59–63. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

I. Amara, J.J. Clark (April 2020). Uncertainty transfer with knowledge distillation, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 64–70. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

M. Shafiee, A. Hryniowski, F. Li, Z. Q. Lin, A. Wong (April 2020). State of compact architecture search for deep neural networks, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 71–76. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

A. Abusitta, O. Abdel Wahab, T. Halabi (April 2020). Deep learning for proactive cooperative malware detection system, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 77–82. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

A. Labach, S. Valaee (April 2020). Neural network sparsification using Gibbs measures, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 83–87. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.

D. Mitra, A. Khisti (April 2020). Distributed stochastic gradient descent with quantized compressive sensing, In C. Audet, S. Le Digabel, A. Lodi, D. Orban and V. Partovi Nia, (Eds.). Proceedings of the Edge Intelligence Workshop 2020, Montréal, Canada, March 2–3, 2020, pages 88–95. Les Cahiers du GERAD G–2020–23, GERAD, HEC Montréal, Canada.