Neil Band
Publications by Year
Research Areas
Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Advanced Neural Network Applications, Natural Language Processing Techniques
Most-Cited Works
- → Shifts: A Dataset of Real Distributional Shift Across Multiple\n Large-Scale Tasks(2021)45 cited
- → Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning(2021)43 cited
- → Plex: Towards Reliability using Pretrained Large Model Extensions(2022)38 cited
- Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)
- → Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks(2022)15 cited
- → MemFlow: Memory-Aware Distributed Deep Learning(2020)6 cited
- → Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning(2021)5 cited
- → Synthetic continued pretraining(2024)1 cited
- → Linguistic Calibration of Long-Form Generations(2024)