Kazi Nazmul Haque

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All published works

Action	Title	Year	Authors
+	Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning	2024	Rajib Rana Niall Higgins Kazi Nazmul Haque Kylie Burke Kathryn Turner Terry Stedman
+ PDF Chat	Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN)	2024	Kazi Nazmul Haque Rajib Rana T. Jarin Björn Schüller
+ PDF Chat	AI-assisted summary of suicide risk Formulation	2024	Rajib Rana Niall Higgins Kazi Nazmul Haque John J. Reilly Kylie Burke Kathryn Turner Anthony R. Pisani Terry Stedman
+ PDF Chat	Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning	2024	Rajib Rana Niall Higgins Kazi Nazmul Haque John J. Reilly Kylie Burke Kathryn Turner Terry Stedman
+	High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder	2020	Kazi Nazmul Haque Rajib Rana Björn Schüller
+	Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data	2020	Kazi Nazmul Haque Rajib Rana John H. L. Hansen Björn Schüller
+ PDF Chat	High-Fidelity Audio Generation and Representation Learning With Guided Adversarial Autoencoder	2020	Kazi Nazmul Haque Rajib Rana Björn Schüller
+	High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder	2020	Kazi Nazmul Haque Rajib Rana Björn Schüller
+	Disentangled Representation Learning with Information Maximizing Autoencoder	2019	Kazi Nazmul Haque Siddique Latif Rajib Rana
+	Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention	2018	Kazi Nazmul Haque Mohammad Abu Yousuf Rajib Rana
+	Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention	2018	Kazi Nazmul Haque Mohammad Abu Yousuf Rajib Rana

Common Coauthors

Coauthor	Papers Together
Rajib Rana	11
Björn Schüller	5
Kathryn Turner	3
Terry Stedman	3
Kylie Burke	3
Niall Higgins	3
Mohammad Abu Yousuf	2
John J. Reilly	2
John H. L. Hansen	1
Siddique Latif	1
T. Jarin	1
Anthony R. Pisani	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	3
+	Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks	2015	Jost Tobias Springenberg	3
+	GANSynth: Adversarial Neural Audio Synthesis	2019	Jesse Engel Kumar Krishna Agrawal Shuo Chen Ishaan Gulrajani Chris Donahue Adam P. Roberts	3
+	A Note on the Inception Score	2018	Shane Barratt Rishi Sharma	3
+	Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention	2018	Kazi Nazmul Haque Mohammad Abu Yousuf Rajib Rana	3
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	3
+	Adversarially Learned Inference	2016	Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville	3
+ PDF Chat	Unsupervised Speech Representation Learning Using WaveNet Autoencoders	2019	Jan Chorowski Ron J. Weiss Samy Bengio Aäron van den Oord	2
+	Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends	2020	Siddique Latif Rajib Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn Schüller	2
+ PDF Chat	Unsupervised Pretraining Transfers Well Across Languages	2020	Morgane Rivière Armand Joulin Pierre-Emmanuel Mazaré Emmanuel Dupoux	2
+ PDF Chat	Disentangled Speech Embeddings Using Cross-Modal Self-Supervision	2020	Arsha Nagrani Joon Son Chung Samuel Albanie Andrew Zisserman	2
+	Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging	2017	Yong Xu Qiang Huang Wenwu Wang Peter Foster Siddharth Sigtia Philip J. B. Jackson Mark D. Plumbley	2
+ PDF Chat	Rényi Divergence and Kullback-Leibler Divergence	2014	Tim van Erven Peter Harremoës	2
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+ PDF Chat	Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation	2017	Wei-Ning Hsu Yu Zhang James Glass	2
+ PDF Chat	Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder	2016	Yu-An Chung Chao-Chung Wu Chia-Hao Shen Hung-yi Lee Lin-Shan Lee	2
+ PDF Chat	wav2vec: Unsupervised Pre-Training for Speech Recognition	2019	Steffen Schneider Alexei Baevski Ronan Collobert Michael Auli	2
+ PDF Chat	Learning representations of emotional speech with deep convolutional generative adversarial networks	2017	Jonathan Chang Stefan Scherer	2
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	2
+	Large Scale Adversarial Representation Learning	2019	Jeff Donahue Karen Simonyan	2
+	Learning audio representations via phase prediction	2019	Félix de Chaumont Quitry Marco Tagliasacchi Dominik Roblek	2
+	Effectiveness of self-supervised pre-training for speech recognition	2019	Alexei Baevski Michael Auli Abdelrahman Mohamed	2
+	What makes ImageNet good for transfer learning	2016	Minyoung Huh Pulkit Agrawal Alexei A. Efros	2
+	Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data	2020	Kazi Nazmul Haque Rajib Rana John H. L. Hansen Björn Schüller	2
+	Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition	2018	Pete Warden	2
+	The Large Time-Frequency Analysis Toolbox 2.0	2014	Zdeněk Průša Peter Søndergaard Nicki Holighaus Christoph Wiesmeyr Péter Balázs	2
+ PDF Chat	How Good Is My GAN?	2018	Konstantin Shmelkov Cordelia Schmid Karteek Alahari	2
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	2
+	InfoVAE: Information Maximizing Variational Autoencoders	2017	Shengjia Zhao Jiaming Song Stefano Ermon	2
+ PDF Chat	Gait Velocity Estimation Using Time-Interleaved Between Consecutive Passive IR Sensor Activations	2016	Rajib Rana Daniel Austin Peter G. Jacobs Mohan Karunanithi Jeffrey Kaye	2
+	Self-Supervised Generalisation with Meta Auxiliary Learning	2019	Shikun Liu Andrew J. Davison Edward Johns	2
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	2
+	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	2
+	High-Fidelity Image Generation With Fewer Labels	2019	Mario Lučić Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly	2
+	Direct Modelling of Speech Emotion from Raw Speech	2019	Siddique Latif Rajib Rana Sara Khalifa Raja Jurdak Julien Epps	2
+ PDF Chat	SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition	2019	Daniel Park William Chan Yu Zhang Chung‐Cheng Chiu Barret Zoph Ekin D. Cubuk Quoc V. Le	2
+	Semi-supervised Conditional GANs	2017	Kumar Sricharan Raja Bala Matthew Shreve Hui Ding Kumar Saketh Jin Sun	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	2
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	2
+ PDF Chat	Learning Representations for Automatic Colorization	2016	Gustav Larsson Michael Maire Gregory Shakhnarovich	2
+ PDF Chat	Adversarial Auto-Encoders for Speech Based Emotion Recognition	2017	Saurabh Sahu Rahul Gupta Ganesh Sivaraman Wael AbdAlmageed Carol Espy-Wilson	2
+ PDF Chat	Self-Supervised Learning via Conditional Motion Propagation	2019	Xiaohang Zhan Xingang Pan Ziwei Liu Dahua Lin Chen Change Loy	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Adversarial Feature Learning	2016	Jeff Donahue Philipp Krähenbühl Trevor Darrell	2
+	Learning Representations of Affect from Speech	2015	Sayan Ghosh Eugene Laksana Louis‐Philippe Morency Stefan Scherer	2
+	vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations	2019	Alexei Baevski Steffen Schneider Michael Auli	2
+ PDF Chat	Stacked Generative Adversarial Networks	2017	Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge Belongie	1