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ORCIDAli Ghodsi 0001
Ali Ghodsi Boushehri
Person information
- affiliation: University of Waterloo, School of Computer Science, ON, Canada
Other persons with the same name
- Ali Ghodsi 0002 — University of California, Berkeley, CA, USA (and 2 more)
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Books and Theses
- 2023
[b2]Benyamin Ghojogh
, Mark Crowley, Fakhri Karray, Ali Ghodsi:
Elements of Dimensionality Reduction and Manifold Learning. Springer 2023, ISBN 978-3-031-10601-9, pp. 1-596- 2006
- [b1]Ali Ghodsi Boushehri:
Nonlinear Dimensionality Reduction with Side Information. University of Waterloo, Ontario, Canada, 2006
Journal Articles
- 2021
- [j20]Hossein Rajabzadeh, Mansoor Zolghadri Jahromi, Ali Ghodsi:
Supervised discriminative dimensionality reduction by learning multiple transformation operators. Expert Syst. Appl. 164: 113958 (2021) - [j19]K. Parand, Alireza Afzal Aghaei, Mostafa Jani, Ali Ghodsi:
A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. Math. Comput. Simul. 180: 114-128 (2021) - [j18]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [j17]Rui Qiao, Ngoc Hieu Tran, Lei Xin, Xin Chen, Ming Li, Baozhen Shan, Ali Ghodsi:
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. Nat. Mach. Intell. 3(5): 420-425 (2021) - [j16]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9: 100105 (2021) - 2020
- [j15]Lida Abdi, Ali Ghodsi:
Discriminant component analysis via distance correlation maximization. Pattern Recognit. 98 (2020) - 2019
- [j14]Seyed Mahdi Rezaeinia, Rouhollah Rahmani, Ali Ghodsi, Hadi Veisi:
Sentiment analysis based on improved pre-trained word embeddings. Expert Syst. Appl. 117: 139-147 (2019) - 2017
- [j13]Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen, Bjarne K. Ersbøll:
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. 65: 168-177 (2017) - [j12]Mehrdad J. Gangeh, Hadi Zarkoob, Ali Ghodsi:
Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 167-181 (2017) - 2015
- [j11]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Greedy column subset selection for large-scale data sets. Knowl. Inf. Syst. 45(1): 1-34 (2015) - 2014
- [j10]Fatemeh Dorri, Ali Ghodsi:
Minimizing the Discrepancy Between Source and Target Domains by Learning Adapting Components. J. Comput. Sci. Technol. 29(1): 105-115 (2014) - [j9]Mehrdad J. Gangeh, Pouria Fewzee, Ali Ghodsi, Mohamed S. Kamel, Fakhri Karray:
Multiview Supervised Dictionary Learning in Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1056-1068 (2014) - 2013
- [j8]Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li:
Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming. J. Comput. Biol. 20(4): 296-310 (2013) - [j7]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
Efficient greedy feature selection for unsupervised learning. Knowl. Inf. Syst. 35(2): 285-310 (2013) - [j6]Ali-Akbar Samadani, Ali Ghodsi, Dana Kulic:
Discriminative functional analysis of human movements. Pattern Recognit. Lett. 34(15): 1829-1839 (2013) - [j5]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel:
Kernelized Supervised Dictionary Learning. IEEE Trans. Signal Process. 61(19): 4753-4767 (2013) - 2011
- [j4]Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi:
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds. Pattern Recognit. 44(7): 1357-1371 (2011) - [j3]Babak Alipanahi, Ali Ghodsi:
Guided Locally Linear Embedding. Pattern Recognit. Lett. 32(7): 1029-1035 (2011) - 2006
- [j2]Mu Zhu, Ali Ghodsi:
Automatic dimensionality selection from the scree plot via the use of profile likelihood. Comput. Stat. Data Anal. 51(2): 918-930 (2006) - 2003
- [j1]Ali Ghodsi, Dale Schuurmans:
Automatic basis selection techniques for RBF networks. Neural Networks 16(5-6): 809-816 (2003)
Conference and Workshop Papers
- 2024
- [c54]Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference. EACL (Findings) 2024: 2129-2145 - 2023
- [c53]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi:
Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL 2023: 166-177 - [c52]Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi:
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. EACL 2023: 3266-3279 - 2022
- [c51]Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi:
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. ACL (Findings) 2022: 1048-1062 - [c50]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Canadian AI 2022 - [c49]Mehdi Rezagholizadeh, Aref Jafari, Puneeth S. M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi:
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. COLING 2022: 4714-4727 - [c48]Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. EMNLP (Findings) 2022: 4948-4954 - [c47]Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. EMNLP (Findings) 2022: 5260-5269 - [c46]Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh:
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT 2022: 2116-2127 - 2021
- [c45]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. ACL/IJCNLP (Findings) 2021: 3522-3533 - [c44]Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh:
Knowledge Distillation with Noisy Labels for Natural Language Understanding. W-NUT 2021: 297-303 - [c43]Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi:
Annealing Knowledge Distillation. EACL 2021: 2493-2504 - [c42]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. EMNLP (Findings) 2021: 750-762 - [c41]Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais:
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation. EMNLP (Findings) 2021: 3145-3152 - [c40]Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi:
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. EMNLP (1) 2021: 7649-7661 - [c39]Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh:
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL 2021: 301-311 - 2018
- [c38]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. AISTATS 2018: 1751-1759 - [c37]Alaa El Khatib, Shimeng Huang, Ali Ghodsi, Fakhri Karray:
Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent. IJCNN 2018: 1-8 - [c36]Rick Wang, Amir-Hossein Karimi, Ali Ghodsi:
Distance Correlation Autoencoder. IJCNN 2018: 1-8 - [c35]Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi:
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Medical Imaging: Digital Pathology 2018: 105810O - 2017
- [c34]Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong:
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR 2017: 45-53 - [c33]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. ICIAR 2017: 380-388 - [c32]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative mixture of networks. IJCNN 2017: 3753-3760 - 2016
- [c31]Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray:
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. ICIAR 2016: 12-19 - 2015
- [c30]Ge Yang, Ali Ghodsi:
Kolmogorov complexity vector: A novel data representation. IJCNN 2015: 1-8 - [c29]Hassan Ashtiani, Ali Ghodsi:
A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis. FE@NIPS 2015: 19-29 - [c28]Tameem Adel, David Balduzzi, Ali Ghodsi:
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. UAI 2015: 32-41 - 2013
- [c27]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Distributed Column Subset Selection on MapReduce. ICDM 2013: 171-180 - 2012
- [c26]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel:
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure. ICCVG 2012: 379-386 - [c25]Fatemeh Dorri, Ali Ghodsi:
Adapting Component Analysis. ICDM 2012: 846-851 - [c24]Pooyan Khajehpour Tadavani, Ali Ghodsi:
Low Dimensional Localized Clustering (LDLC). ICDM 2012: 936-941 - [c23]Babak Alipanahi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li:
Protein Structure by Semidefinite Facial Reduction. RECOMB 2012: 1-11 - [c22]Mathieu Sinn, Ali Ghodsi, Karsten Keller:
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. UAI 2012: 786-794 - 2011
- [c21]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
An Efficient Greedy Method for Unsupervised Feature Selection. ICDM 2011: 161-170 - [c20]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel:
Dictionary Learning in Texture Classification. ICIAR (1) 2011: 335-343 - [c19]Manda Winlaw, Leila Samimi-Dehkordi, Ali Ghodsi:
Robust locally linear embedding using penalty functions. IJCNN 2011: 2305-2312 - [c18]Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN 2011: 2733-2740 - [c17]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
A novel greedy algorithm for Nyström approximation. AISTATS 2011: 269-277 - 2010
- [c16]Stefan Pintilie, Ali Ghodsi:
Conformal Mapping by Computationally Efficient Methods. AAAI 2010: 557-562 - [c15]He He, Ali Ghodsi:
Rare Class Classification by Support Vector Machine. ICPR 2010: 548-551 - [c14]Pooyan Khajehpour Tadavani, Ali Ghodsi:
Learning an Affine Transformation for Non-linear Dimensionality Reduction. ECML/PKDD (2) 2010: 19-34 - 2009
- [c13]Alberto Montresor, Ali Ghodsi:
Towards Robust Peer Counting. Peer-to-Peer Computing 2009: 143-146 - 2008
- [c12]Babak Alipanahi, Michael Biggs, Ali Ghodsi:
Distance Metric Learning Versus Fisher Discriminant Analysis. AAAI 2008: 598-603 - [c11]Michael Biggs, Ali Ghodsi, Stephen A. Vavasis:
Nonnegative matrix factorization via rank-one downdate. ICML 2008: 64-71 - [c10]Michael Biggs, Ali Ghodsi, Dana F. Wilkinson, Michael H. Bowling:
Scalable Action Respecting Embedding. ISAIM 2008 - 2007
- [c9]Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey:
Improving Embeddings by Flexible Exploitation of Side Information. IJCAI 2007: 810-816 - 2006
- [c8]Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi:
Subjective Mapping. AAAI 2006: 1569-1572 - [c7]Hans-Emil Skogh, Jonas Haeggstrom, Ali Ghodsi, Rassul Ayani:
Fast Freenet: Improving Freenet Performance by Preferential Partition Routing and File Mesh Propagation. CCGRID 2006: 9 - 2005
- [c6]Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans:
Tangent-Corrected Embedding. CVPR (1) 2005: 518-525 - [c5]Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson:
Action respecting embedding. ICML 2005: 65-72 - [c4]Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi:
Learning Subjective Representations for Planning. IJCAI 2005: 889-894 - [c3]Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein:
Subjective Localization with Action Respecting Embedding. ISRR 2005: 190-202 - 2004
- [c2]Ali Ghodsi, Jiayuan Huang, Dale Schuurmans:
Transformation-Invariant Embedding for Image Analysis. ECCV (4) 2004: 519-530 - 2002
- [c1]Finnegan Southey, Dale Schuurmans, Ali Ghodsi:
Regularized Greedy Importance Sampling. NIPS 2002: 753-760
Informal and Other Publications
- 2024
- [i62]Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Ali Ghodsi:
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization. CoRR abs/2402.09586 (2024) - [i61]Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi:
Scalable Graph Self-Supervised Learning. CoRR abs/2402.09603 (2024) - [i60]Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning. CoRR abs/2402.10462 (2024) - [i59]Mahdi Karami, Ali Ghodsi:
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling. CoRR abs/2402.18508 (2024) - [i58]Lena Podina, Ali Ghodsi, Mohammad Kohandel:
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks. CoRR abs/2404.08019 (2024) - [i57]Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR abs/2407.01955 (2024) - 2023
- [i56]Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi:
Improved knowledge distillation by utilizing backward pass knowledge in neural networks. CoRR abs/2301.12006 (2023) - [i55]Benyamin Ghojogh, Ali Ghodsi:
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey. CoRR abs/2304.11461 (2023) - [i54]Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh S. Tahaei, Boxing Chen, Ali Ghodsi:
SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks. CoRR abs/2309.00255 (2023) - [i53]Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT). CoRR abs/2309.08968 (2023) - 2022
- [i52]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR abs/2201.09267 (2022) - [i51]Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi:
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. CoRR abs/2203.09391 (2022) - [i50]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR abs/2203.13911 (2022) - [i49]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart:
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR abs/2205.12428 (2022) - [i48]Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi:
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR abs/2210.07558 (2022) - [i47]Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR abs/2212.05956 (2022) - [i46]Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR abs/2212.05998 (2022) - 2021
- [i45]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR abs/2101.00734 (2021) - [i44]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. CoRR abs/2104.01525 (2021) - [i43]Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi:
Annealing Knowledge Distillation. CoRR abs/2104.07163 (2021) - [i42]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. CoRR abs/2105.13608 (2021) - [i41]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR abs/2106.02154 (2021) - [i40]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR abs/2106.08443 (2021) - [i39]Mojtaba Valipour, Bowen You, Maysum Panju, Ali Ghodsi:
SymbolicGPT: A Generative Transformer Model for Symbolic Regression. CoRR abs/2106.14131 (2021) - [i38]Zeinab Hajimohammadi, Kourosh Parand, Ali Ghodsi:
Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations. CoRR abs/2106.14320 (2021) - [i37]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR abs/2106.15379 (2021) - [i36]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR abs/2107.12521 (2021) - [i35]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR abs/2108.04172 (2021) - [i34]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR abs/2109.02508 (2021) - [i33]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. CoRR abs/2109.05696 (2021) - [i32]Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh:
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR abs/2109.06243 (2021) - [i31]Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh:
Knowledge Distillation with Noisy Labels for Natural Language Understanding. CoRR abs/2109.10147 (2021) - [i30]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR abs/2110.01858 (2021) - [i29]Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi:
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. CoRR abs/2110.08532 (2021) - [i28]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR abs/2110.09620 (2021) - [i27]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR abs/2111.13282 (2021) - 2020
- [i26]Aref Jafari, Ali Ghodsi:
Segmentation Approach for Coreference Resolution Task. CoRR abs/2007.04301 (2020) - [i25]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR abs/2009.08136 (2020) - [i24]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR abs/2009.10301 (2020) - [i23]Maysum Panju, Ali Ghodsi:
A Neuro-Symbolic Method for Solving Differential and Functional Equations. CoRR abs/2011.02415 (2020) - [i22]Maysum Panju, Kourosh Parand, Ali Ghodsi:
Symbolically Solving Partial Differential Equations using Deep Learning. CoRR abs/2011.06673 (2020) - [i21]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR abs/2011.10925 (2020) - 2019
- [i20]Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi:
DeepNovoV2: Better de novo peptide sequencing with deep learning. CoRR abs/1904.08514 (2019) - 2018
- [i19]Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Text Classification based on Multiple Block Convolutional Highways. CoRR abs/1807.09602 (2018) - [i18]Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR abs/1811.03166 (2018) - [i17]Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi:
Deep Variational Sufficient Dimensionality Reduction. CoRR abs/1812.07641 (2018) - 2017
- [i16]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative Mixture of Networks. CoRR abs/1702.03307 (2017) - [i15]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. CoRR abs/1704.02345 (2017) - [i14]Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong:
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR abs/1707.00081 (2017) - [i13]Shima Kamyab, Ali Ghodsi, Zohreh Azimifar:
Deep Structure for end-to-end inverse rendering. CoRR abs/1708.08998 (2017) - [i12]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. CoRR abs/1710.05373 (2017) - [i11]Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis. CoRR abs/1711.08609 (2017) - [i10]Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. CoRR abs/1711.09163 (2017) - [i9]Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh:
Disentangling Dynamics and Content for Control and Planning. CoRR abs/1711.09165 (2017) - 2016
- [i8]Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray:
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. CoRR abs/1604.07319 (2016) - [i7]Ershad Banijamali, Ali Ghodsi:
Semi-Supervised Representation Learning based on Probabilistic Labeling. CoRR abs/1605.03072 (2016) - 2015
- [i6]Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
Supervised Dictionary Learning and Sparse Representation-A Review. CoRR abs/1502.05928 (2015) - 2013
- [i5]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
A Fast Greedy Algorithm for Generalized Column Subset Selection. CoRR abs/1312.6820 (2013) - [i4]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Greedy Column Subset Selection for Large-scale Data Sets. CoRR abs/1312.6838 (2013) - 2012
- [i3]Mathieu Sinn, Ali Ghodsi, Karsten Keller:
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. CoRR abs/1210.4903 (2012) - [i2]Ali Ghodsi, Börje Ohlman, Jörg Ott, Ignacio Solis, Matthias Wählisch:
Information-centric networking - Ready for the real world? (Dagstuhl Seminar 12361). Dagstuhl Reports 2(9): 1-14 (2012) - 2008
- [i1]Michael Biggs, Ali Ghodsi, Stephen A. Vavasis:
Nonnegative Matrix Factorization via Rank-One Downdate. CoRR abs/0805.0120 (2008)
Coauthor Index
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