Dara Bahri - RankMe

61 papers A* 20A 1Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Watermark for Black-Box Language Models. Trans. Mach. Learn. Res. Dara Bahri, John Frederick Wieting
2026	J	`jnl`	Improving Detection of Watermarked Language Models. Trans. Mach. Learn. Res. Dara Bahri, John Frederick Wieting
2025	J	`jnl`	Decoding-based Regression. CoRR Xingyou Song, Dara Bahri
2025	J	`jnl`	Decoding-based Regression. Trans. Mach. Learn. Res. Xingyou Song, Dara Bahri
2025	J	`jnl`	Improving Detection of Watermarked Language Models. CoRR Dara Bahri, John Wieting
2024	A*	`conf`	A Universal Class of Sharpness-Aware Minimization Algorithms. ICML Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet
2024	J	`jnl`	A Universal Class of Sharpness-Aware Minimization Algorithms. CoRR Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet
2024	J	`jnl`	A Watermark for Black-Box Language Models. CoRR Dara Bahri, John Wieting, Dana Alon, Donald Metzler
2023	J	`jnl`	Efficient Transformers: A Survey. ACM Comput. Surv. Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
2023	A*	`conf`	Sharpness-Aware Minimization Leads to Low-Rank Features. NeurIPS Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
2023	J	`jnl`	Sharpness-Aware Minimization Leads to Low-Rank Features. CoRR Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion
2023	A*	`conf`	Surprise: Result List Truncation via Extreme Value Theory. SIGIR Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
2023	A*	`conf`	UL2: Unifying Language Learning Paradigms. ICLR Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler
2022	A*	`conf`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2022	A*	`conf`	Churn Reduction via Distillation. ICLR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
2022	A*	`conf`	Confident Adaptive Language Modeling. NeurIPS Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
2022	J	`jnl`	Confident Adaptive Language Modeling. CoRR Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
2022	—	`conf`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. ACL (Findings) Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Donald Metzler
2022	J	`jnl`	ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. CoRR Kai Hui, Honglei Zhuang, Tao Chen, Zhen Qin, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, Cícero Nogueira dos Santos, Yi Tay, Don Metzler
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2022	J	`jnl`	Is margin all you need? An extensive empirical study of active learning on tabular data. CoRR Dara Bahri, Heinrich Jiang, Tal Schuster, Afshin Rostamizadeh
2022	A*	`conf`	Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. ICLR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2022	—	`conf`	Sharpness-Aware Minimization Improves Language Model Generalization. ACL (1) Dara Bahri, Hossein Mobahi, Yi Tay
2022	A*	`conf`	Transformer Memory as a Differentiable Search Index. NeurIPS Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
2022	J	`jnl`	Unifying Language Learning Paradigms. CoRR Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
2021	J	`jnl`	Are Pre-trained Convolutions Better than Pre-trained Transformers? CoRR Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler
2021	—	`conf`	Are Pretrained Convolutions Better than Pretrained Transformers? ACL/IJCNLP (1) Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin, Donald Metzler
2021	J	`jnl`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2021	J	`jnl`	Churn Reduction via Distillation. CoRR Heinrich Jiang, Harikrishna Narasimhan, Dara Bahri, Andrew Cotter, Afshin Rostamizadeh
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
2021	A	`conf`	Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. WSDM Dara Bahri, Yi Tay, Che Zheng, Cliff Brunk, Donald Metzler, Andrew Tomkins
2021	A*	`conf`	HyperGrid Transformers: Towards A Single Model for Multiple Tasks. ICLR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
2021	J	`jnl`	Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. CoRR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2021	A*	`conf`	Locally Adaptive Label Smoothing Improves Predictive Churn. ICML Dara Bahri, Heinrich Jiang
2021	J	`jnl`	Locally Adaptive Label Smoothing for Predictive Churn. CoRR Dara Bahri, Heinrich Jiang
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	A*	`conf`	OmniNet: Omnidirectional Representations from Transformers. ICML Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	OmniNet: Omnidirectional Representations from Transformers. CoRR Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
2021	J	`jnl`	Rethinking Search: Making Experts out of Dilettantes. CoRR Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	J	`jnl`	Rethinking search: making domain experts out of dilettantes. SIGIR Forum Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	J	`jnl`	SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption. CoRR Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler
2021	J	`jnl`	Sharpness-Aware Minimization Improves Language Model Generalization. CoRR Dara Bahri, Hossein Mobahi, Yi Tay
2021	—	`conf`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. ACL/IJCNLP (1) Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2021	A*	`conf`	Synthesizer: Rethinking Self-Attention for Transformer Models. ICML Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2020	J	`jnl`	Choppy: Cut Transformer For Ranked List Truncation. CoRR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
2020	A*	`conf`	Choppy: Cut Transformer for Ranked List Truncation. SIGIR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
2020	A*	`conf`	Deep k-NN for Noisy Labels. ICML Dara Bahri, Heinrich Jiang, Maya R. Gupta
2020	J	`jnl`	Deep k-NN for Noisy Labels. CoRR Dara Bahri, Heinrich Jiang, Maya R. Gupta
2020	J	`jnl`	Efficient Transformers: A Survey. CoRR Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler
2020	J	`jnl`	Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. CoRR Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins
2020	J	`jnl`	HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
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`	Reverse Engineering Configurations of Neural Text Generation Models. ACL Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2020	J	`jnl`	Reverse Engineering Configurations of Neural Text Generation Models. CoRR Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2020	A*	`conf`	Sparse Sinkhorn Attention. ICML Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
2020	J	`jnl`	Sparse Sinkhorn Attention. CoRR Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan
2020	J	`jnl`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. CoRR Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2020	J	`jnl`	Surprise: Result List Truncation via Extreme Value Theory. CoRR Dara Bahri, Che Zheng, Yi Tay, Donald Metzler, Andrew Tomkins
2020	J	`jnl`	Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng
2018	A*	`conf`	Diminishing Returns Shape Constraints for Interpretability and Regularization. NeurIPS Maya R. Gupta, Dara Bahri, Andrew Cotter, Kevin Robert Canini