Papers
End-to-End Learning on 3D Protein Structure for Interface Prediction
Raphael Townshend, Rishi Bedi, Patricia Suriana et al.
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
Siqi Wang, Yijie Zeng, Xinwang Liu et al.
Efficient Forward Architecture Search
Hanzhang Hu, John Langford, Rich Caruana et al.
Variance Reduction for Matrix Games
Yair Carmon, Yujia Jin, Aaron Sidford et al.
On The Classification-Distortion-Perception Tradeoff
Dong Liu, Haochen Zhang, Zhiwei Xiong
A Solvable High-Dimensional Model of GAN
Chuang Wang, Hong Hu, Yue Lu
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
Tao Tu, John Paisley, Stefan Haufe et al.
Fast AutoAugment
Sungbin Lim, Ildoo Kim, Taesup Kim et al.
Contextual Bandits with Cross-Learning
Santiago Balseiro, Negin Golrezaei, Mohammad Mahdian et al.
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil SALIM, Dmitry Kovalev, Peter Richtarik
An Improved Analysis of Training Over-parameterized Deep Neural Networks
Difan Zou, Quanquan Gu
DM2C: Deep Mixed-Modal Clustering
Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang et al.
Selecting the independent coordinates of manifolds with large aspect ratios
Yu-Chia Chen, Marina Meila
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
Tharun Kumar Reddy Medini, Qixuan Huang, Yiqiu Wang et al.
Grid Saliency for Context Explanations of Semantic Segmentation
Lukas Hoyer, Mauricio Munoz, Prateek Katiyar et al.
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data
Mohammad Reza Keshtkaran, Chethan Pandarinath
A Domain Agnostic Measure for Monitoring and Evaluating GANs
Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi et al.
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Gautam Kamath, Or Sheffet, Vikrant Singhal et al.
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong, Yuchen Mo, Chang Xiao et al.
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou, Christopher M De Sa et al.
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas et al.
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Yitian Yuan, Lin Ma, Jingwen Wang et al.
Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li et al.
No-Regret Learning in Unknown Games with Correlated Payoffs
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.