Samira Abnar - RankMe

36 papers A* 9A 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. CoRR Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik
2025	J	`jnl`	How PARTs assemble into wholes: Learning the relative composition of images. CoRR Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
2025	A*	`conf`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. ICML Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak
2025	J	`jnl`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. CoRR Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin Mohamed Elnouby Ali, Joshua M. Susskind, Vimal Thilak
2024	A*	`conf`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. NeurIPS Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh M. Susskind
2023	J	`jnl`	Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
2023	A*	`conf`	Diffusion Probabilistic Fields. ICLR Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023	J	`jnl`	Diffusion Probabilistic Fields. CoRR Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023	—	`conf`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2022	A*	`conf`	Exploring the Limits of Large Scale Pre-training. ICLR Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
2022	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS 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
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR 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
2022	A*	`conf`	Scale Efficiently: Insights from Pretraining and Finetuning Transformers. ICLR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2022	J	`jnl`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2021	J	`jnl`	Exploring the Limits of Large Scale Pre-training. CoRR Samira Abnar, Mostafa Dehghani, Behnam Neyshabur, Hanie Sedghi
2021	J	`jnl`	Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi
2021	A*	`conf`	Long Range Arena : A Benchmark for Efficient Transformers. ICLR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2021	J	`jnl`	Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. CoRR Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler
2020	A*	`conf`	A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. AAAI Niels van der Heijden, Samira Abnar, Ekaterina Shutova
2020	J	`jnl`	Long Range Arena: A Benchmark for Efficient Transformers. CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2020	A*	`conf`	Quantifying Attention Flow in Transformers. ACL Samira Abnar, Willem H. Zuidema
2020	J	`jnl`	Quantifying Attention Flow in Transformers. CoRR Samira Abnar, Willem H. Zuidema
2020	J	`jnl`	Transferring Inductive Biases through Knowledge Distillation. CoRR Samira Abnar, Mostafa Dehghani, Willem H. Zuidema
2019	J	`jnl`	A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings. CoRR Niels van der Heijden, Samira Abnar, Ekaterina Shutova
2019	—	`conf`	Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. BlackboxNLP@ACL Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema
2019	J	`jnl`	Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. CoRR Samira Abnar, Lisa Beinborn, Rochelle Choenni, Willem H. Zuidema
2019	J	`jnl`	Incremental Reading for Question Answering. CoRR Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen
2019	—	`conf`	Robust Evaluation of Language-Brain Encoding Experiments. CICLing (1) Lisa Beinborn, Samira Abnar, Rochelle Choenni
2019	J	`jnl`	Robust Evaluation of Language-Brain Encoding Experiments. CoRR Lisa Beinborn, Samira Abnar, Rochelle Choenni
2018	—	`conf`	Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. CMCL Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema
2017	J	`jnl`	Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. CoRR Samira Abnar, Rasyan Ahmed, Max Mijnheer, Willem H. Zuidema
2016	A	`conf`	The Healing Power of Poison: Helpful Non-relevant Documents in Feedback. CIKM Mostafa Dehghani, Samira Abnar, Jaap Kamps
2015	—	`conf`	Meta Text Aligner: Text Alignment Based on Predicted Plagiarism Relation. CLEF Samira Abnar, Mostafa Dehghani, Azadeh Shakery
2014	—	`conf`	Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set. CLEF Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, Azadeh Shakery
2014	—	`conf`	Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. CLEF (Working Notes) Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery