Issam H. Laradji

102 papers A* 11A 6B 4C 1Journal 66Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches. NAACL (Findings) Gaurav Sahu, Olga Vechtomova, Issam H. Laradji
2025	J	`jnl`	AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery. CoRR Amirhossein Abaskohi, Amrutha Varshini Ramesh, Shailesh Nanisetty, Chirag Goel, David Vázquez, Christopher Pal, Spandana Gella, Giuseppe Carenini, Issam H. Laradji
2025	J	`jnl`	AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. CoRR Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar
2025	J	`jnl`	DRBench: A Realistic Benchmark for Enterprise Deep Research. CoRR Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji
2025	—	`conf`	FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering. EMNLP (Findings) Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji
2025	A	`conf`	Fast Convergence of Softmax Policy Mirror Ascent. AISTATS Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani
2025	A*	`conf`	InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. ICLR Gaurav Sahu, Abhay Puri, Juan A. Rodríguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vázquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji
2025	J	`jnl`	LitLLMs, LLMs for Literature Review: Are we there yet? Trans. Mach. Learn. Res. Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal
2025	A*	`conf`	StarVector: Generating Scalable Vector Graphics Code from Images and Text. AAAI Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2025	A*	`conf`	StarVector: Generating Scalable Vector Graphics Code from Images and Text. CVPR Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
2024	J	`jnl`	BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar
2024	J	`jnl`	BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks. CoRR Amrutha Varshini Ramesh, Vignesh Ganapathiraman, Issam H. Laradji, Mark Schmidt
2024	J	`jnl`	FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering. CoRR Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji
2024	J	`jnl`	Fast Convergence of Softmax Policy Mirror Ascent. CoRR Reza Asad, Reza Babanezhad, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani
2024	J	`jnl`	IntentGPT: Few-shot Intent Discovery with Large Language Models. CoRR Juan A. Rodríguez, Nicholas Botzer, David Vázquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji
2024	J	`jnl`	LLMs for Literature Review: Are we there yet? CoRR Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal
2024	J	`jnl`	LitLLM: A Toolkit for Scientific Literature Review. CoRR Shubham Agarwal, Issam H. Laradji, Laurent Charlin, Christopher Pal
2024	J	`jnl`	MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization. CoRR Gaurav Sahu, Issam H. Laradji
2024	J	`jnl`	WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? CoRR Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2024	A*	`conf`	WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vázquez, Nicolas Chapados, Alexandre Lacoste
2023	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2023	J	`jnl`	Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed
2023	J	`jnl`	Capture the Flag: Uncovering Data Insights with Large Language Models. CoRR Issam H. Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vázquez, Christopher Pal, Alexandre Drouin
2023	A*	`conf`	Constraining Representations Yields Models That Know What They Don't Know. ICLR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2023	J	`jnl`	Enchancing Semi-Supervised Learning for Extractive Summarization with an LLM-based pseudolabeler. CoRR Gaurav Sahu, Olga Vechtomova, Issam H. Laradji
2023	J	`jnl`	Explaining Visual Counterfactual Explainers. Trans. Mach. Learn. Res. Diego A. Velázquez, Pau Rodríguez, Alexandre Lacoste, Issam H. Laradji, F. Xavier Roca, Jordi Gonzàlez
2023	—	`conf`	FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	J	`jnl`	FigGen: Text to Scientific Figure Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	J	`jnl`	LLM aided semi-supervision for Extractive Dialog Summarization. CoRR Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji
2023	—	`conf`	LLM aided semi-supervision for efficient Extractive Dialog Summarization. EMNLP (Findings) Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji
2023	J	`jnl`	Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal
2023	A	`conf`	OCR-VQGAN: Taming Text-within-Image Generation. WACV Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	A*	`conf`	PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. EMNLP Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
2023	J	`jnl`	PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. CoRR Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji
2023	J	`jnl`	StarVector: Generating Scalable Vector Graphics Code from Images. CoRR Juan A. Rodríguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
2023	J	`jnl`	Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize. Trans. Mach. Learn. Res. Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
2023	—	`conf`	TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification. EMNLP (Findings) Nicholas Botzer, David Vasquez, Tim Weninger, Issam H. Laradji
2023	J	`jnl`	TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification. CoRR Nicholas Botzer, David Vasquez, Tim Weninger, Issam H. Laradji
2023	J	`jnl`	Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal
2022	J	`jnl`	CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
2022	J	`jnl`	Challenges in leveraging GANs for few-shot data augmentation. CoRR Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
2022	J	`jnl`	Constraining Representations Yields Models That Know What They Don't Know. CoRR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2022	—	`conf`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	A*	`conf`	Kubric: A scalable dataset generator. CVPR Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022	J	`jnl`	Kubric: A scalable dataset generator. CoRR Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022	J	`jnl`	Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence. J. Mach. Learn. Res. Julie Nutini, Issam H. Laradji, Mark Schmidt
2022	A*	`conf`	Neural Point Light Fields. CVPR Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide
2022	J	`jnl`	OCR-VQGAN: Taming Text-within-Image Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2022	—	`conf`	Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal
2022	J	`jnl`	Workflow Discovery from Dialogues in the Low Data Regime. CoRR Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal
2021	J	`jnl`	A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
2021	J	`jnl`	A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
2021	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. CoRR Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2021	A	`conf`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2021	A*	`conf`	Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. ICCV Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
2021	J	`jnl`	Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
2021	A	`conf`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. WACV Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2021	J	`jnl`	Neural Point Light Fields. CoRR Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide
2021	—	`conf`	SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
2021	J	`jnl`	SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
2021	J	`jnl`	Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize. CoRR Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
2020	J	`jnl`	A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis. CoRR Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vázquez, Marcus Sheaves
2020	J	`jnl`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search). CoRR Sharan Vaswani, Frederik Kunstner, Issam H. Laradji, Si Yi Meng, Mark Schmidt, Simon Lacoste-Julien
2020	J	`jnl`	Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez
2020	J	`jnl`	CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
2020	J	`jnl`	Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
2020	—	`conf`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	LOOC: Localize Overlapping Objects with Count Supervision. CoRR Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
2020	J	`jnl`	Learning Data Augmentation with Online Bilevel Optimization for Image Classification. CoRR Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli
2020	B	`conf`	Looc: Localize Overlapping Objects with Count Supervision. ICIP Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
2020	—	`ch.`	M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. Domain Adaptation for Visual Understanding Issam H. Laradji, Reza Babanezhad
2020	J	`jnl`	Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2020	B	`conf`	Proposal-Based Instance Segmentation With Point Supervision. ICIP Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2020	J	`jnl`	Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients. CoRR Keegan Lensink, Issam H. Laradji, Marco Law, Paolo Emilio Barbano, Savvas Nicolaou, William Parker, Eldad Haber
2020	J	`jnl`	Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. CoRR Nicolas Loizou, Sharan Vaswani, Issam H. Laradji, Simon Lacoste-Julien
2020	J	`jnl`	Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2019	—	`conf`	Class-Based Styling: Real-Time Localized Style Transfer with Semantic Segmentation. ICCV Workshops Lironne Kurzman, David Vázquez, Issam H. Laradji
2019	J	`jnl`	Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation. CoRR Lironne Kurzman, David Vázquez, Issam H. Laradji
2019	J	`jnl`	Efficient Deep Gaussian Process Models for Variable-Sized Input. CoRR Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
2019	B	`conf`	Efficient Deep Gaussian Process Models for Variable-Sized Inputs. IJCNN Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim
2019	J	`jnl`	Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. CoRR Si Yi Meng, Sharan Vaswani, Issam H. Laradji, Mark Schmidt, Simon Lacoste-Julien
2019	J	`jnl`	Instance Segmentation with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2019	A*	`conf`	Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. NeurIPS Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
2019	J	`jnl`	Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates. CoRR Sharan Vaswani, Aaron Mishkin, Issam H. Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
2019	A	`conf`	Where are the Masks: Instance Segmentation with Image-level Supervision. BMVC Issam H. Laradji, David Vázquez, Mark Schmidt
2019	J	`jnl`	Where are the Masks: Instance Segmentation with Image-level Supervision. CoRR Issam H. Laradji, David Vázquez, Mark Schmidt
2018	J	`jnl`	M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. CoRR Issam H. Laradji, Reza Babanezhad
2018	—	`conf`	MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds. ECML/PKDD (2) Reza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark Schmidt
2018	—	`conf`	Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2018	J	`jnl`	Where are the Blobs: Counting by Localization with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2016	J	`jnl`	Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph. CoRR Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani
2016	A	`conf`	Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph. UAI Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani
2015	A*	`conf`	Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. ICML Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
2015	J	`jnl`	Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. CoRR Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke
2015	J	`jnl`	Software defect prediction using ensemble learning on selected features. Inf. Softw. Technol. Issam H. Laradji, Mohammad R. Alshayeb, Lahouari Ghouti
2014	C	`conf`	Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries. ICANN Issam H. Laradji, Lahouari Ghouti, Faisal Saleh, Musab A. Alturki
2014	—	`conf`	XML classification using ensemble learning on extracted features. ACM Southeast Regional Conference Issam H. Laradji, Salahadin Mohammed, Lahouari Ghouti
2013	B	`conf`	Perceptual hashing of color images using hypercomplex representations. ICIP Issam H. Laradji, Lahouari Ghouti, El-Hebri Khiari