Country
On the Hardness of Robust Classification
Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell
Neural Information Processing Systems http://nips.cc/
Nonparametric Density Estimation under Adversarial Losses
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabas Poczos
Neural Information Processing Systems http://nips.cc/
GAMA: GenerativeAdversarialMulti-Object SceneAttacks
On the other hand, natural scenes include multiple dominant objects that are semantically related.
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Y eonsung Jung
However, spurious correlation remains an ongoing challenge, primarily due to the difficulty in precisely detecting these samples.
LAPO: Latent-VariableAdvantage-WeightedPolicy OptimizationforOfflineReinforcementLearning
But in practice, it requires querying the behavior policy which is unknown, and using an erroneous approximation of the behavior policy can negatively affect the performance ([39]).
Maximizing acquisition functions for Bayesian optimization
James Wilson, Frank Hutter, Marc Deisenroth
Neural Information Processing Systems http://nips.cc/
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong
Neural Information Processing Systems http://nips.cc/
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL Chen Sun
In real life, success is often contingent upon multiple critical steps that are distant in time from each other and from the final reward.
Coresets for Clustering with Fairness Constraints
Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi
Neural Information Processing Systems http://nips.cc/