Hamid Palangi

According to our database1, Hamid Palangi authored at least 20 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


HUBERT Untangles BERT to Improve Transfer across NLP Tasks.
CoRR, 2019

Natural- to formal-language generation using Tensor Product Representations.
CoRR, 2019

Unified Vision-Language Pre-Training for Image Captioning and VQA.
CoRR, 2019

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators.
CoRR, 2019

RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval.
Sig. Proc.: Image Comm., 2018

Robust Detection of Epileptic Seizures Using Deep Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Question-Answering with Grammatically-Interpretable Representations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Convolutional Deep Stacking Networks for distributed compressive sensing.
Signal Processing, 2017

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering.
CoRR, 2017

Distributed Compressive Sensing: A Deep Learning Approach.
IEEE Trans. Signal Processing, 2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2016

Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.
CoRR, 2015

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.
CoRR, 2014

Recurrent Deep-Stacking Networks for sequence classification.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

Learning Input and Recurrent Weight Matrices in Echo State Networks.
CoRR, 2013

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors.
Proceedings of the IEEE International Conference on Acoustics, 2013

Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms.
Signal Processing, 2010

Image Coding and Compression with Sparse 3D Discrete Cosine Transform.
Proceedings of the Independent Component Analysis and Signal Separation, 2009