Mehrdad Farajtabar
Orcid: 0000-0002-5510-518X
According to our database1,
Mehrdad Farajtabar
authored at least 74 papers
between 2011 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
CoRR, 2024
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
CoRR, 2024
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization.
CoRR, 2024
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data.
CoRR, 2024
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
CoRR, 2023
Weight subcloning: direct initialization of transformers using larger pretrained ones.
CoRR, 2023
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.
CoRR, 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Trans. Mach. Learn. Res., 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019
Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality.
Int. J. Data Sci. Anal., 2019
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher.
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Signal Inf. Process. over Networks, 2017
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks.
CoRR, 2017
Proceedings of the 26th International Conference on World Wide Web, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Soc. Netw. Anal. Min., 2015
A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media.
CoRR, 2015
Proceedings of the 24th International Conference on World Wide Web Companion, 2015
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the Lifelong Machine Learning, 2013
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011