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PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function
[article]
2021
arXiv
pre-print
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In 3rd International Conference on Learning Representations, ICLR 2015, San Diego,
CA, USA, May 7-9, 2015, Workshop Track Proceedings, 2015. ...
In 3rd International Conference on Learning Representations, ICLR
2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015. ...
arXiv:2112.04948v1
fatcat:i7ab4hvgprcgvdpnowrlwmaiwa
Explainable Abstract Trains Dataset
[article]
2020
arXiv
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In Yoshua Bengio and Yann LeCun, editors, 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015. ...
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. ...
arXiv:2012.12115v1
fatcat:deixf5bzajf2rnktjk36q2rwhm
Interpretable Word Embeddings via Informative Priors
[article]
2019
arXiv
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In 3rd Inter-
national Conference on Learning Representations,
ICLR 2015, San Diego, CA, USA, May 7-9, 2015,
Conference Track Proceedings. ...
In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings. :570-606.
Philipp Dufter and Hinrich Schütze. 2019. ...
arXiv:1909.01459v1
fatcat:53ancapz4bdbrjf3d7qxf5ewzu
Adversarial Domain Adaptation for Duplicate Question Detection
[article]
2018
arXiv
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In Proceedings of the 10th International Workshop on Semantic Evaluation, Se-mEval '16, pages 1116-1123, San Diego, CA, USA. Simone Filice, Giovanni Da San Martino, and Alessandro Moschitti. 2017. ...
In Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval '16, pages 896-903, San Diego, CA, USA. Daniele Bonadiman, Antonio Uva, and Alessandro Moschitti. 2017. ...
arXiv:1809.02255v1
fatcat:b2vxfuhdonfvzhfqiteloglo6a
Adversarial Domain Adaptation for Duplicate Question Detection
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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In Proceedings of the 10th International Workshop on Semantic Evaluation, Se-mEval '16, pages 1116-1123, San Diego, CA, USA. Simone Filice, Giovanni Da San Martino, and Alessandro Moschitti. 2017. ...
In Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval '16, pages 896-903, San Diego, CA, USA. Daniele Bonadiman, Antonio Uva, and Alessandro Moschitti. 2017. ...
doi:10.18653/v1/d18-1131
dblp:conf/emnlp/ShahLMRN18
fatcat:ffmmyfqg2ffk5fu47ohdsfifzi
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
[article]
2019
arXiv
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In 3rd International Confer-
ence on Learning Representations, ICLR 2015, San
Diego, CA, USA, May 7-9, 2015, Workshop Track
Proceedings.
Diederik P. Kingma and Jimmy Ba. 2015. ...
In 3rd Inter-
national Conference on Learning Representations,
ICLR 2015, San Diego, CA, USA, May 7-9, 2015,
Conference Track Proceedings. ...
arXiv:1904.09491v2
fatcat:yepg4w45rzdhtdkrf2evlt343y
Learning the CSI Denoising and Feedback Without Supervision
[article]
2021
arXiv
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Wireless Commun., vol. 18, no. 1, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track
pp. 121–135, 2019. ...
Commun., vol. 68, no. 1, pp. 232–257, Conference on Learning Representations, ICLR 2015, San Diego, CA,
2020. ...
arXiv:2104.05002v3
fatcat:unztls6x2fb6pdiwy3ilhyixu4
Robot Learning From Randomized Simulations: A Review
2022
Frontiers in Robotics and AI
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J., Shlens, J., and Szegedy, C. (2015). “Explaining and Harnessing Adversarial Examples,” in International Conference on Learning Representations (ICLR), May 7-9 (San Diego, CA, USA. ...
,” in International Conference on Development and Learning (ICDL) (Monterey, CA, USA: IEEE), 215–219. Erez, T., Tassa, Y., and Todorov, E. (2015). ...
doi:10.3389/frobt.2022.799893
pmid:35494543
pmcid:PMC9038844
fatcat:f7bytfvmgjfnllmnuy74ywnxau
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector
2021
Zenodo
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, San Diego, CA, USA, May 7-9, 2015, 2017, volume 2143 of CEUR Workshop Proceedings. ...
In 2019 IEEE Natural Language Processing, EMNLP-IJCNLP
International Conference on Big Data (Big Data), 2019, Hong Kong, China, November 3-7, 2019,
Los Angeles, CA, USA ...
doi:10.5281/zenodo.5772042
fatcat:sgkfcnqtmjainnvs3fyoqi4z2m
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
[article]
2020
arXiv
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In 3rd International Confer-
ence on Learning Representations, ICLR 2015, San
Diego, CA, USA, May 7-9, 2015, Conference Track
Proceedings.
Angelo Basile, Albert Gatt, and Malvina Nissim. ...
In Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 31-41, San Diego, California. Association for Computational Linguistics. ...
arXiv:2009.14445v1
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Combining Textual Features for the Detection of Hateful and Offensive Language
[article]
2021
arXiv
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LeCun
(Eds.), 3rd International Conference on Learning Representations, ICLR 2015, San Diego,
CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015. ...
CEUR
Workshop
Proceedings CEUR Workshop Proceedings (CEUR-WS.org) ...
arXiv:2112.04803v1
fatcat:nwvs4vongnhubk2thtk2xlwysu
Variational Neural Machine Translation with Normalizing Flows
[article]
2020
arXiv
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In International Conference
on Representation Learning (ICLR), San Diego,
USA.
Hareesh Bahuleyan, Lili Mou, Olga Vech-
tomova,
and
Pascal
Poupart.
2018. ...
In International Conference on Learning Representations (ICLR), New Orleans, USA. Variational neural machine translation. ...
arXiv:2005.13978v1
fatcat:7ysqtt4kgzgm3l4kddct7byihy
Graph Convolutional Network for Swahili News Classification
[article]
2021
arXiv
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In 3rd Inter-
national Conference on Learning Representations,
ICLR 2015, San Diego, CA, USA, May 7-9, 2015,
Conference Track Proceedings.
Thomas N. Kipf and Max Welling. 2017. ...
Kingma and Jimmy Ba. 2015. Adam: A
method for stochastic optimization. ...
arXiv:2103.09325v1
fatcat:6zxdss63trfinncc2tqwxa2rwq
Universal Approximation of Residual Flows in Maximum Mean Discrepancy
[article]
2021
arXiv
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Department of Computer Science and Engineering, University of California San Diego, CA, USA. Correspondence to: Zhifeng Kong <z4kong@eng.ucsd.edu>, Kamalika Chaudhuri <kamalika@cs.ucsd.edu>. ...
In ICLR 2020 Workshop on Integration of Deep Neural Models and Differential Equations. Papamakarios, G., Pavlakou, T., and Murray, I. (2017). Masked autoregressive flow for density estimation. ...
arXiv:2103.05793v2
fatcat:fxaim5gnjvckfhsxskxolyce6m
Semantic Representation for Dialogue Modeling
[article]
2021
arXiv
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2021 pre-print arXiv:2105.10188v1 fatcat:jz3dlwpgq5hdhkjw55it77rnom
Dialogue relation ex-
ICLR 2015, San Diego, CA, USA, May 7-9, 2015, traction with document-level heterogeneous graph
Conference Track Proceedings. ...
Diego, California. ...
arXiv:2105.10188v2
fatcat:unzjukziljbc7lqs4w722gczh4
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