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Explainable Abstract Trains Dataset
[article]
2020
arXiv
pre-print
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In
Yoshua Bengio and Yann LeCun, editors, 2nd International Conference on Learn-
ing Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop
Track Proceedings, 2014.
8. ...
Fleet, Tomás Pajdla, Bernt Schiele, and Tinne Tuytelaars, editors, Computer Vision -ECCV 2014 -13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I, volume 8689 of Lecture ...
arXiv:2012.12115v1
fatcat:deixf5bzajf2rnktjk36q2rwhm
Score-Based Generative Classifiers
[article]
2021
arXiv
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In Yoshua Bengio and
Yann LeCun, editors, 2nd International Conference on Learning Representations, ICLR 2014,
Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014.
[45] Sasha ...
In 6th International Conference
on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018,
Conference Track Proceedings. OpenReview.net, 2018.
[29] Kevin P. ...
arXiv:2110.00473v2
fatcat:6yer6cgkxnbf7kg2m2xmxjtre4
PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function
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2021
arXiv
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In 2nd International
Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014,
Conference Track Proceedings, 2014. ...
In 6th International Conference
on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018,
Conference Track Proceedings. OpenReview.net, 2018. ...
arXiv:2112.04948v1
fatcat:i7ab4hvgprcgvdpnowrlwmaiwa
Hyperbolic Graph Neural Networks
[article]
2019
arXiv
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In 2nd International Conference on Learning Representations,
ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014.
[10] Ines Chami, Rex Ying, Christopher Ré, and Jure ...
In 6th International Conference on Learning Representations,
ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings,
2018.
[46] Duncan J Watts and Steven H Strogatz ...
arXiv:1910.12892v1
fatcat:zpc5bwjlyrbbxlwvnflxr4jv4y
Variational Neural Machine Translation with Normalizing Flows
[article]
2020
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In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. ...
Kingma and Max Welling. 2014. Auto-encoding variational bayes. ...
arXiv:2005.13978v1
fatcat:7ysqtt4kgzgm3l4kddct7byihy
Variational Tracking and Prediction with Generative Disentangled State-Space Models
[article]
2019
arXiv
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In: 2nd International
Conference on Learning Representations, ICLR 2014,
Banff, AB, Canada, April 14-16, 2014, Conference
Track Proceedings. u r l: http://arxiv.org/abs/
1312.6114. ...
In: CoRR abs/1805.07206. arXiv: 1805 .
07206. u r l: http://arxiv.org/abs/1805.07206.
Mnih, Andriy and Karol Gregor (2014). "Neural Varia-
tional Inference and Learning in Belief Networks". en. ...
arXiv:1910.06205v1
fatcat:7radjf2djnfh7copebflvopid4
Invertible generative models for inverse problems: mitigating representation error and dataset bias
[article]
2020
arXiv
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(eds.), 2nd Interna-
tional Conference on Learning Representations, ICLR
2014, Banff, AB, Canada, April 14-16, 2014, Conference
Track Proceedings, 2014.
Liu, Z., Luo, P., Wang, X., and Tang, X. ...
In 6th International Conference on Learning
Representations, ICLR 2018, Vancouver, BC, Canada,
April 30 -May 3, 2018, Conference Track Proceedings.
OpenReview.net, 2018. ...
arXiv:1905.11672v4
fatcat:hgpfoh6frfa4thyxvhmqjzqomi
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
[article]
2021
arXiv
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Kolter, “Scaling provable
in International Conference on Learning Representations, ICLR, Banff, adversarial defenses,” in Advances in Neural Information Processing
AB, Canada, April ...
14-16, 2014, Conference Track Proceedings, 2014. ...
arXiv:2112.02209v1
fatcat:7lh3gixnd5e7zh3b44qnwiyxdy
Neural Network Module Decomposition and Recomposition
[article]
2021
arXiv
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., 2nd International Con-
ference on Learning Representations, ICLR 2014, Banff, AB,
Amer, M.; and Maul, T. 2019. ...
A review of modularization Canada, April 14-16, 2014, Conference Track Proceedings.
techniques in artificial neural networks. ...
arXiv:2112.13208v1
fatcat:zcccxh6nmrberacsaj3b5ct4vi
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
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2021
arXiv
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In Yoshua Bengio and Yann LeCun,
editors, 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada,
April 14-16, 2014, Conference Track Proceedings, 2014. ...
CoRR, abs/2010.08603, 2020. URL https://arxiv.org/abs/2010.08603. Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard. ...
arXiv:2105.12237v1
fatcat:pn3uxwt74zdzzkhuvtweua4f6e
PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
[article]
2021
arXiv
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In 2nd International Conference
on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference
Track Proceedings, 2014.
[62] Sergey Ioffe and Christian Szegedy. ...
In 6th International Conference on
Learning Representations, ICLR, Vancouver, BC, Canada, Workshop Track Proceedings, 2018.
[48] Ayyappa Kumar Pambala, Titir Dutta, and Soma Biswas. ...
arXiv:2109.10083v1
fatcat:4zzppv7iuzelxiqu2i6h5fdiey
Failing Conceptually: Concept-Based Explanations of Dataset Shift
[article]
2021
arXiv
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In Yoshua Bengio and
Yann LeCun (eds.), 2nd International Conference on Learning Representations, ICLR 2014,
Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings, 2014. ...
URL http:
//arxiv.org/abs/1312.6199.
Eric W Weisstein. Bonferroni correction. https://mathworld. wolfram. com/, 2004. ...
arXiv:2104.08952v2
fatcat:6datjyy5jzadnmy24vzakttxnm
A Survey of Deep Active Learning
[article]
2021
arXiv
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In 2nd International Conference on
Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings.
[115] Andreas Kirsch, Joost van Amersfoort, and Yarin Gal ...
In Advances in Neural Information Processing Systems 27:
Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada.
2672–2680. ...
arXiv:2009.00236v2
fatcat:zuk2doushzhlfaufcyhoktxj7e
When are Non-Parametric Methods Robust?
[article]
2020
arXiv
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2020 pre-print arXiv:2003.06121v1 fatcat:rnzm5pb2vbgnxpekp2s3ycdytq
In 2nd International Confer-
ence on Learning Representations, ICLR 2014, Banff, AB,
Canada, April 14-16, 2014, Conference Track Proceed-
ings, 2014.
Wang, Y., Jha, S., and Chaudhuri, K. ...
In
Advances in Neural Information Processing Systems 27:
Annual Conference on Neural Information Processing
Systems 2014, December 8-13 2014, Montreal, Quebec,
Canada, pp. 370-378, 2014. ...
arXiv:2003.06121v2
fatcat:jz2a2oadoffxtg4ph7hsqq6vc4
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
[article]
2020
arXiv
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The word embeddings are initialized as a 50-dim GloVe (Pennington, Socher, and Manning 2014) embeddings. ...
MLP We implement a MLP-based parser following Chen and Manning (2014) on a transition-based dependency parsing dataset provided by the English Penn TreeBank (PTB) (Marcus, Santorini, and Marcinkiewicz ...
In 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings. Torralba, A.; Fergus, R.; and Freeman, W. ...
arXiv:2006.05620v2
fatcat:w4vvnovt3nht7j6hmg36dwoh5i
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