Jean Kaddour

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Machine Learning

Training Algorithm

Top Venues

FAS*W@SASO/ICAC

Publications

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR (2024)
Georgy Tyukin, Gbètondji J.-S. Dovonon, Jean Kaddour, Pasquale Minervini
Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models. CoRR (2024)
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini
Are We Done with MMLU? CoRR (2024)
Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy
Challenges and Applications of Large Language Models. CoRR (2023)
Aengus Lynch, Gbètondji J.-S. Dovonon, Jean Kaddour, Ricardo Silva
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases. CoRR (2023)
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
DAG Learning on the Permutahedron. ICLR (2023)
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
DAG Learning on the Permutahedron. CoRR (2023)
Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. CoRR (2023)
Jean Kaddour, Qi Liu
Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models. CoRR (2023)
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models. NeurIPS (2023)
Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS (2023)
Jean Kaddour
The MiniPile Challenge for Data-Efficient Language Models. CoRR (2023)
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models. CoRR (2023)
Sunny Sanyal, Jean Kaddour, Abhishek Kumar, Sujay Sanghavi
Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models. CoRR (2023)
Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR (2022)
Jean Kaddour
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging. CoRR (2022)
Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva
Causal Machine Learning: A Survey and Open Problems. CoRR (2022)
Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner
Questions for Flat-Minima Optimization of Modern Neural Networks. CoRR (2022)
Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner
When Do Flat Minima Optimizers Work? NeurIPS (2022)
Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner, Ricardo Silva
Causal Effect Inference for Structured Treatments. NeurIPS (2021)
Jean Kaddour, Qi Liu, Yuchen Zhu, Matt J. Kusner, Ricardo Silva
Graph Intervention Networks for Causal Effect Estimation. CoRR (2021)
Jean Kaddour, Steindór Sæmundsson, Marc Peter Deisenroth
Probabilistic Active Meta-Learning. NeurIPS (2020)
Jean Kaddour, Steindór Sæmundsson, Marc Peter Deisenroth
Probabilistic Active Meta-Learning. CoRR (2020)
Christian Krupitzer, Martin Pfannemüller, Jean Kaddour, Christian Becker
SATISFy: Towards a Self-Learning Analyzer for Time Series Forecasting in Self-Improving Systems. FAS*W@SASO/ICAC (2018)