Neil Band - RankMe

16 papers A* 3Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Curriculum-Guided Layer Scaling for Language Model Pretraining. CoRR Karanpartap Singh, Neil Band, Ehsan Adeli
2025	J	`jnl`	Reasoning to Learn from Latent Thoughts. CoRR Yangjun Ruan, Neil Band, Chris J. Maddison, Tatsunori Hashimoto
2025	—	`conf`	Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation. EMNLP (Findings) Jiatong Han, Neil Band, Muhammed Razzak, Jannik Kossen, Tim G. J. Rudner, Yarin Gal
2025	A*	`conf`	Synthetic continued pretraining. ICLR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
2024	J	`jnl`	Linguistic Calibration of Language Models. CoRR Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto
2024	A*	`conf`	Linguistic Calibration of Long-Form Generations. ICML Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto
2024	J	`jnl`	Synthetic continued pretraining. CoRR Zitong Yang, Neil Band, Shuangping Li, Emmanuel J. Candès, Tatsunori Hashimoto
2022	J	`jnl`	Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks. CoRR Neil Band, Tim G. J. Rudner, Qixuan Feng, Angelos Filos, Zachary Nado, Michael W. Dusenberry, Ghassen Jerfel, Dustin Tran, Yarin Gal
2022	J	`jnl`	Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
2021	—	`conf`	Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks. NeurIPS Datasets and Benchmarks Neil Band, Tim G. J. Rudner, Qixuan Feng, Angelos Filos, Zachary Nado, Mike Dusenberry, Ghassen Jerfel, Dustin Tran, Yarin Gal
2021	A*	`conf`	Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. NeurIPS Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Thomas Rainforth, Yarin Gal
2021	J	`jnl`	Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning. CoRR Jannik Kossen, Neil Band, Clare Lyle, Aidan N. Gomez, Tom Rainforth, Yarin Gal
2021	—	`conf`	Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. NeurIPS Datasets and Benchmarks Andrey Malinin, Neil Band, Yarin Gal, Mark J. F. Gales, Alexander Ganshin, German Chesnokov, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Denis Roginskiy, Mariya Shmatova, Panagiotis Tigas, Boris Yangel
2021	J	`jnl`	Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. CoRR Andrey Malinin, Neil Band, Alexander Ganshin, German Chesnokov, Yarin Gal, Mark J. F. Gales, Alexey Noskov, Andrey Ploskonosov, Liudmila Prokhorenkova, Ivan Provilkov, Vatsal Raina, Vyas Raina, Mariya Shmatova, Panos Tigas, Boris Yangel
2021	J	`jnl`	Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Z. Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran
2020	—	`conf`	MemFlow: Memory-Aware Distributed Deep Learning. SIGMOD Conference Neil Band