Myriam Tami

According to our database1, Myriam Tami authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Causal Contrastive Learning for Counterfactual Regression Over Time.
CoRR, 2024

Cybersecurity Metrics for AI-Based In-Vehicle Intrusion Detection Systems.
Proceedings of the IEEE Vehicular Networking Conference, 2024

2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.
CoRR, 2023

Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data.
CoRR, 2023

Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models.
CoRR, 2023

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Open-Set Likelihood Maximization for Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Model-Agnostic Few-Shot Open-Set Recognition.
CoRR, 2022

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data.
CoRR, 2021

Spatial Contrastive Learning for Few-Shot Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Stochastic Adversarial Gradient Embedding for Active Domain Adaptation.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Target Consistency for Domain Adaptation: when Robustness meets Transferability.
CoRR, 2020

An Overview of Deep Semi-Supervised Learning.
CoRR, 2020

Robust Domain Adaptation: Representations, Weights and Inductive Bias.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Smooth And Consistent Probabilistic Regression Trees.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Autoregressive Unsupervised Image Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Semi-Supervised Semantic Segmentation With Cross-Consistency Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Dealing with Uncertain Inputs in Regression Trees.
CoRR, 2018


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