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2020 – today
- 2024
[i16]Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind:
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR abs/2410.23698 (2024)- 2023
- [c15]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: 12342-12364 - [c14]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. ICLR 2023 - [i15]Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista:
Diffusion Probabilistic Fields. CoRR abs/2303.00165 (2023) - [i14]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 abs/2310.08866 (2023) - 2022
- [c13]Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi:
Exploring the Limits of Large Scale Pre-training. ICLR 2022 - [c12]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 - [c11]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 - [i13]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 abs/2207.10551 (2022) - [i12]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 abs/2207.13751 (2022) - 2021
- [c10]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 - [i11]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 abs/2106.06080 (2021) - [i10]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 abs/2109.10686 (2021) - [i9]Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi:
Exploring the Limits of Large Scale Pre-training. CoRR abs/2110.02095 (2021) - 2020
- [c9]Niels van der Heijden, Samira Abnar, Ekaterina Shutova:
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. AAAI 2020: 9090-9097 - [c8]Samira Abnar, Willem H. Zuidema:
Quantifying Attention Flow in Transformers. ACL 2020: 4190-4197 - [i8]Samira Abnar, Willem H. Zuidema:
Quantifying Attention Flow in Transformers. CoRR abs/2005.00928 (2020) - [i7]Samira Abnar, Mostafa Dehghani, Willem H. Zuidema:
Transferring Inductive Biases through Knowledge Distillation. CoRR abs/2006.00555 (2020) - [i6]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 abs/2011.04006 (2020)
2010 – 2019
- 2019
- [c7]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: 191-203 - [c6]Lisa Beinborn, Samira Abnar, Rochelle Choenni:
Robust Evaluation of Language-Brain Encoding Experiments. CICLing (1) 2019: 44-61 - [i5]Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen:
Incremental Reading for Question Answering. CoRR abs/1901.04936 (2019) - [i4]Lisa Beinborn, Samira Abnar, Rochelle Choenni:
Robust Evaluation of Language-Brain Encoding Experiments. CoRR abs/1904.02547 (2019) - [i3]Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema:
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. CoRR abs/1906.01539 (2019) - [i2]Niels van der Heijden, Samira Abnar, Ekaterina Shutova:
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. CoRR abs/1912.10169 (2019) - 2018
- [c5]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: 57-66 - 2017
- [i1]Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema:
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. CoRR abs/1711.09285 (2017) - 2016
- [c4]Mostafa Dehghani, Samira Abnar, Jaap Kamps
:
The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. CIKM 2016: 2065-2068 - 2015
- [c3]Samira Abnar, Mostafa Dehghani, Azadeh Shakery:
Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation. CLEF 2015: 193-199 - 2014
- [c2]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: 128-140 - [c1]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: 928-938
Coauthor Index
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last updated on 2024-12-01 01:16 CET by the dblp team
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