Samira Abnar

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 27

Top Topics

Relevant Documents

Top Venues

BlackboxNLP@ACL

Publications

Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) (2023)
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
Diffusion Probabilistic Fields. ICLR (2023)
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
Diffusion Probabilistic Fields. CoRR (2023)
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
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
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS (2022)
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
Exploring the Limits of Large Scale Pre-training. ICLR (2022)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR (2022)
Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR (2021)
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
Exploring the Limits of Large Scale Pre-training. CoRR (2021)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena : A Benchmark for Efficient Transformers. ICLR (2021)
Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR (2021)
Samira Abnar, Willem H. Zuidema
Quantifying Attention Flow in Transformers. ACL (2020)
Samira Abnar, Mostafa Dehghani, Willem H. Zuidema
Transferring Inductive Biases through Knowledge Distillation. CoRR (2020)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena: A Benchmark for Efficient Transformers. CoRR (2020)
Niels van der Heijden, Samira Abnar, Ekaterina Shutova
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. AAAI (2020)
Samira Abnar, Willem H. Zuidema
Quantifying Attention Flow in Transformers. CoRR (2020)
Lisa Beinborn, Samira Abnar, Rochelle Choenni
Robust Evaluation of Language-Brain Encoding Experiments. CoRR (2019)
Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. CoRR (2019)
Niels van der Heijden, Samira Abnar, Ekaterina Shutova
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. CoRR (2019)
Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema
Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. BlackboxNLP@ACL (2019)
Lisa Beinborn, Samira Abnar, Rochelle Choenni
Robust Evaluation of Language-Brain Encoding Experiments. CICLing (1) (2019)
Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen
Incremental Reading for Question Answering. CoRR (2019)
Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. CMCL (2018)
Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. CoRR (2017)
Mostafa Dehghani, Samira Abnar, Jaap Kamps
The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. CIKM (2016)
Samira Abnar, Mostafa Dehghani, Azadeh Shakery
Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation. CLEF (2015)
Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, Azadeh Shakery
Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set. CLEF (2014)
Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery
Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. CLEF (Working Notes) (2014)