Samira Abnar

According to our database, Samira Abnar authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.

Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind

CoRR, 2024

2023

Adaptivity and Modularity for Efficient Generalization Over Task Complexity.

Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio

CoRR, 2023

Diffusion Probabilistic Fields.

Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

GAUDI: A Neural Architect for Immersive 3D Scene Generation.

Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind

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

Scale Efficiently: Insights from Pretraining and Finetuning Transformers.

Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring the Limits of Large Scale Pre-training.

Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers.

Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler

CoRR, 2021

Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent.

Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi

CoRR, 2021

Long Range Arena : A Benchmark for Efficient Transformers.

Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Transferring Inductive Biases through Knowledge Distillation.

Samira Abnar, Mostafa Dehghani, Willem H. Zuidema

CoRR, 2020

Quantifying Attention Flow in Transformers.

Samira Abnar, Willem H. Zuidema

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings.

Niels van der Heijden, Samira Abnar, Ekaterina Shutova

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains.

Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema

CoRR, 2019

Incremental Reading for Question Answering.

Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen

CoRR, 2019

Robust Evaluation of Language-Brain Encoding Experiments.

Lisa Beinborn, Samira Abnar, Rochelle Choenni

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains.

Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018

Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity.

Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema

Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018

2016

The Healing Power of Poison: Helpful Non-relevant Documents in Feedback.

Mostafa Dehghani, Samira Abnar, Jaap Kamps

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation.

Samira Abnar, Mostafa Dehghani, Azadeh Shakery

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

2014

Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set.

Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, Azadeh Shakery

Proceedings of the Information Access Evaluation. Multilinguality, Multimodality, and Interaction, 2014

Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014.

Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery

Proceedings of the Working Notes for CLEF 2014 Conference, 2014