Papers
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.
Anti-efficient encoding in emergent communication
Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux et al.
Scalable inference of topic evolution via models for latent geometric structures
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha et al.
First Order Motion Model for Image Animation
Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov et al.
R2D2: Reliable and Repeatable Detector and Descriptor
Jerome Revaud, Cesar De Souza, Martin Humenberger et al.
Policy Poisoning in Batch Reinforcement Learning and Control
Yuzhe Ma, Xuezhou Zhang, Wen Sun et al.
Practical and Consistent Estimation of f-Divergences
Paul Rubenstein, Olivier Bousquet, Josip Djolonga et al.
Exact inference in structured prediction
Kevin Bello, Jean Honorio
Precision-Recall Balanced Topic Modelling
Seppo Virtanen, Mark Girolami
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu, Tianhe Yu, Chelsea Finn et al.
A coupled autoencoder approach for multi-modal analysis of cell types
Rohan Gala, Nathan Gouwens, Zizhen Yao et al.
Learning to Screen
Alon Cohen, Avinatan Hassidim, Haim Kaplan et al.
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti, Benjamin Moseley
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Nixie S Lesmana, Xuan Zhang, Xiaohui Bei
Hypothesis Set Stability and Generalization
Dylan J Foster, Spencer Greenberg, Satyen Kale et al.
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang et al.
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Rong Ge, Sham M. Kakade, Rahul Kidambi et al.
The spiked matrix model with generative priors
Benjamin Aubin, Bruno Loureiro, Antoine Maillard et al.