Jean Kaddour

According to our database¹, Jean Kaddour authored at least 21 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models.

[BibT_eX]

[DOI]

Georgy Tyukin

Gbètondji J.-S. Dovonon

Jean Kaddour

Pasquale Minervini

CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

[BibT_eX]

[DOI]

CoRR, 2024

Are We Done with MMLU?

[BibT_eX]

[DOI]

Alberto Carlo Maria Mancino

Mohammad Reza Ghasemi Madani

CoRR, 2024

2023

Text Data Augmentation in Low-Resource Settings via Fine-Tuning of Large Language Models.

[BibT_eX]

[DOI]

Jean Kaddour

Qi Liu

CoRR, 2023

Challenges and Applications of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.

[BibT_eX]

[DOI]

CoRR, 2023

The MiniPile Challenge for Data-Efficient Language Models.

[BibT_eX]

[DOI]

Jean Kaddour

CoRR, 2023

Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases.

[BibT_eX]

[DOI]

Aengus Lynch

Gbètondji J.-S. Dovonon

Jean Kaddour

Ricardo Silva

CoRR, 2023

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DAG Learning on the Permutahedron.

[BibT_eX]

[DOI]

Valentina Zantedeschi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging.

[BibT_eX]

[DOI]

Jean Kaddour

CoRR, 2022

Causal Machine Learning: A Survey and Open Problems.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating Self-Supervised Learning for Molecular Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2022

Questions for Flat-Minima Optimization of Modern Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

When Do Flat Minima Optimizers Work?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Graph Intervention Networks for Causal Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Causal Effect Inference for Structured Treatments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Probabilistic Active Meta-Learning.

[BibT_eX]

[DOI]

Jean Kaddour

Steindór Sæmundsson

Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

SATISFy: Towards a Self-Learning Analyzer for Time Series Forecasting in Self-Improving Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Jean Kaddour

Timeline

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