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Jean Kaddour
Jean Kaddour
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Challenges and applications of large language models
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
arXiv preprint arXiv:2307.10169, 2023
1672023
Causal machine learning: A survey and open problems
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv:2206.15475, 2022
992022
When Do Flat Minima Optimizers Work?
J Kaddour, L Liu, R Silva, M Kusner
NeurIPS 2022, 2022
562022
Causal Effect Inference for Structured Treatments
J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva
NeurIPS 2021, 2021
362021
Probabilistic Active Meta-Learning
J Kaddour, S Sæmundsson, M Deisenroth
NeurIPS 2020, 2020
362020
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
J Kaddour
NeurIPS 2022 HITY Workshop, 2022
22*2022
The minipile challenge for data-efficient language models
J Kaddour
arXiv preprint arXiv:2304.08442, 2023
162023
No train no gain: Revisiting efficient training algorithms for transformer-based language models
J Kaddour, O Key, P Nawrot, P Minervini, MJ Kusner
NeurIPS 2023, 2023
142023
SATISFy: Towards a self-learning analyzer for time series forecasting in self-improving systems
C Krupitzer, M Pfannemüller, J Kaddour, C Becker
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
142018
Spawrious: A benchmark for fine control of spurious correlation biases
A Lynch, GJS Dovonon, J Kaddour, R Silva
arXiv preprint arXiv:2303.05470, 2023
132023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
H Wang, J Kaddour, S Liu, J Tang, J Lasenby, Q Liu
NeurIPS 2023 Datasets & Benchmarks, 2022
122022
Challenges and applications of large language models. arXiv 2023
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
arXiv preprint arXiv:2307.10169, 0
8
DAG learning on the permutahedron
V Zantedeschi, L Franceschi, J Kaddour, M Kusner, V Niculae
ICLR 2023, 2023
72023
Challenges and applications of large language models. arXiv
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
Preprint posted online 19, 2023
62023
Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models
S Sanyal, J Kaddour, A Kumar, S Sanghavi
arXiv preprint arXiv:2306.03241, 2023
62023
Evaluating the impact of geometric and statistical skews on out-of-distribution generalization performance
A Lynch, J Kaddour, R Silva
NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022
62022
Causal machine learning: A survey and open problems. arXiv 2022
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv:2206.15475, 0
6
Challenges and Applications of Large Language Models, July 2023
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
URL http://arxiv. org/abs/2307 10169, 0
4
Ttida: Controllable generative data augmentation via text-to-text and text-to-image models
Y Yin, J Kaddour, X Zhang, Y Nie, Z Liu, L Kong, Q Liu
arXiv preprint arXiv:2304.08821, 2023
32023
Causal machine learning: A survey and open problems. CoRR, abs/2206.15475, 2022. doi: 10.48550
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv.2206.15475, 0
3
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