Issam H. Laradji
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
15
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | AISTATS | Fast Convergence of Softmax Policy Mirror Ascent. | Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani |
| 2025 | CVPR | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodrguez, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | EMNLP | FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering. | Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji |
| 2025 | ICLR | InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. | Gaurav Sahu, Abhay Puri, Juan A. Rodrguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vzquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji |
| 2025 | NAACL | A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches. | Gaurav Sahu, Olga Vechtomova, Issam H. Laradji |
| 2024 | ICML | WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? | Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vzquez, Nicolas Chapados, Alexandre Lacoste |
| 2023 | EMNLP | TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification. | Nicholas Botzer, David Vasquez, Tim Weninger, Issam H. Laradji |
| 2023 | EMNLP | LLM aided semi-supervision for efficient Extractive Dialog Summarization. | Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, Issam H. Laradji |
| 2023 | EMNLP | PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation. | Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam H. Laradji |
| 2023 | ICLR | Constraining Representations Yields Models That Know What They Don't Know. | Joo Monteiro, Pau Rodrguez, Pierre-Andr Nol, Issam H. Laradji, David Vzquez |
| 2023 | ICLR | FigGen: Text to Scientific Figure Generation. | Juan A. Rodrguez, David Vzquez, Issam H. Laradji, Marco Pedersoli, Pau Rodrguez |
| 2023 | WACV | OCR-VQGAN: Taming Text-within-Image Generation. | Juan A. Rodrguez, David Vzquez, Issam H. Laradji, Marco Pedersoli, Pau Rodrguez |
| 2022 | CVPR | Kubric: A scalable dataset generator. | 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 ztireli, 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 | CVPR | Neural Point Light Fields. | Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide |
| 2021 | ICCV | Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. | Pau Rodrguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vzquez |
| 2021 | WACV | A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. | Issam H. Laradji, Pau Rodrguez, Oscar Maas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vzquez, Derek Nowrouzezahrai |
| 2021 | WACV | Learning Data Augmentation with Online Bilevel Optimization for Image Classification. | Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vzquez, Marco Pedersoli |
| 2020 | ECCV | Embedding Propagation: Smoother Manifold for Few-Shot Classification. | Pau Rodrguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste |
| 2020 | ICIP | Looc: Localize Overlapping Objects with Count Supervision. | Issam H. Laradji, Rafael Pardinas, Pau Rodrguez, David Vzquez |
| 2020 | ICIP | Proposal-Based Instance Segmentation With Point Supervision. | Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vzquez, Mark Schmidt |
| 2019 | BMVC | Where are the Masks: Instance Segmentation with Image-level Supervision. | Issam H. Laradji, David Vzquez, Mark Schmidt |
| 2019 | IJCNN | Efficient Deep Gaussian Process Models for Variable-Sized Inputs. | Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim |
| 2018 | ECCV | Where Are the Blobs: Counting by Localization with Point Supervision. | Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vzquez, Mark Schmidt |
| 2016 | UAI | Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph. | Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani |
| 2015 | ICML | Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. | Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke |
| 2014 | ICANN | Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries. | Issam H. Laradji, Lahouari Ghouti, Faisal Saleh, Musab A. AlTurki |
| 2013 | ICIP | Perceptual hashing of color images using hypercomplex representations. | Issam H. Laradji, Lahouari Ghouti, El-Hebri Khiari |