Summary of In or Out? Fixing Imagenet Out-of-distribution Detection Evaluation, by Julian Bitterwolf et al.
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluationby Julian Bitterwolf, Maximilian Müller, Matthias HeinFirst submitted…
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluationby Julian Bitterwolf, Maximilian Müller, Matthias HeinFirst submitted…
Too Large; Data Reduction for Vision-Language Pre-Trainingby Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao…
PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial…
Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learningby Jiashuo JiangFirst submitted to…
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Designby Shuze Liu, Shangtong ZhangFirst submitted…
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Boundsby Shion Takeno, Yu Inatsu,…
A Minimax Approach Against Multi-Armed Adversarial Attacks Detectionby Federica Granese, Marco Romanelli, Siddharth Garg, Pablo…
Toward Large Kernel Modelsby Amirhesam Abedsoltan, Mikhail Belkin, Parthe PanditFirst submitted to arxiv on: 6…
Asymptotically Optimal Fixed-Budget Best Arm Identification with Variance-Dependent Boundsby Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara,…
Fair Minimum Representation Clusteringby Connor Lawless, Oktay GunlukFirst submitted to arxiv on: 6 Feb 2023CategoriesMain:…