Accelerating Certified Robustness Training via Knowledge TransferPratik VaishnaviKevin Eykholtet al.2022NeurIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation ApproachDennis WeiRahul Nairet al.2022NeurIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without RefittingPrasanna SattigeriSoumya Ghoshet al.2022NeurIPS 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction GuaranteesSongkai XueYuekai Sunet al.2022NeurIPS 2022
k-Sliced Mutual Information: A Quantitative Study of Scalability with DimensionZiv GoldfeldKristjan Greenewaldet al.2022NeurIPS 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI AcceleratorsJenna BilbreyKristina Hermanet al.2022NeurIPS 2022
Boundary Adversarial Examples Against Adversarial OverfittingMuhammad Zaid HameedBeat Buesser2022NeurIPS 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint DistributionsChanakya EkboteMoksh Jainet al.2022NeurIPS 2022