Papers
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes et al.
Theoretical evidence for adversarial robustness through randomization
Rafael Pinot, Laurent Meunier, Alexandre Araujo et al.
Semi-Parametric Dynamic Contextual Pricing
Virag Shah, Ramesh Johari, Jose Blanchet
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang, Christopher M De Sa
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
Vincent Chen, Sen Wu, Alexander J Ratner et al.
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
James Bailey, Georgios Piliouras
Explicit Disentanglement of Appearance and Perspective in Generative Models
Nicki Skafte, Søren Hauberg
Convergence of Adversarial Training in Overparametrized Neural Networks
Ruiqi Gao, Tianle Cai, Haochuan Li et al.
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu, Zehong Shen, Zhixuan Lin et al.
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
Bryon Aragam, Arash Amini, Qing Zhou
Debiased Bayesian inference for average treatment effects
Kolyan Ray, Botond Szabo
Stand-Alone Self-Attention in Vision Models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani et al.
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
Arsenii Vanunts, Alexey Drutsa
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu, Raymond Mooney
Certified Adversarial Robustness with Additive Noise
Bai Li, Changyou Chen, Wenlin Wang et al.
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, Lichen Wang et al.
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Qianqian Xu, Xinwei Sun, Zhiyong Yang et al.
The Implicit Bias of AdaGrad on Separable Data
Qian Qian, Xiaoyuan Qian
Optimal Stochastic and Online Learning with Individual Iterates
Yunwen Lei, Peng Yang, Ke Tang et al.
Unlabeled Data Improves Adversarial Robustness
Yair Carmon, Aditi Raghunathan, Ludwig Schmidt et al.
Unsupervised Object Segmentation by Redrawing
Mickaël Chen, Thierry Artières, Ludovic Denoyer
REM: From Structural Entropy to Community Structure Deception
Yiwei Liu, Jiamou Liu, Zijian Zhang et al.
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng, Yinpeng Dong, Tianyu Pang et al.