Papers
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Joshua Allen, Bolin Ding, Janardhan Kulkarni et al.
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh et al.
Unlocking Fairness: a Trade-off Revisited
Michael Wick, swetasudha panda, Jean-Baptiste Tristan
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao et al.
Mining GOLD Samples for Conditional GANs
Sangwoo Mo, Chiheon Kim, Sungwoong Kim et al.
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Hugo Caselles-Dupré, Michael Garcia Ortiz, David Filliat
Thompson Sampling for Multinomial Logit Contextual Bandits
Min-hwan Oh, Garud Iyengar
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.