Papers
A neurally plausible model learns successor representations in partially observable environments
Eszter Vértes, Maneesh Sahani
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Shengyuan Hu, Tao Yu, Chuan Guo et al.
A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn, Tony Jebara, David Knowles
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Lalit Jain, Kevin G. Jamieson
An Improved Analysis of Training Over-parameterized Deep Neural Networks
Difan Zou, Quanquan Gu
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
Mehmet Fatih Sahin, Armin eftekhari, Ahmet Alacaoglu et al.
ANODEV2: A Coupled Neural ODE Framework
Tianjun Zhang, Zhewei Yao, Amir Gholami et al.
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Qing Qu, Xiao Li, Zhihui Zhu
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
Wenhao Zhang, Si Wu, Brent Doiron et al.
Anti-efficient encoding in emergent communication
Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux et al.
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod, Ilias Diakonikolas, Alistair Stewart et al.
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
Cornelius Schröder, Ben James, Leon Lagnado et al.
Approximate Feature Collisions in Neural Nets
Ke Li, Tianhao Zhang, Jitendra Malik
Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi et al.
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques et al.
Approximating the Permanent by Sampling from Adaptive Partitions
Jonathan Kuck, Tri Dao, Hamid Rezatofighi et al.
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
A Primal Dual Formulation For Deep Learning With Constraints
Yatin Nandwani, Abhishek Pathak, Mausam et al.
A Primal-Dual link between GANs and Autoencoders
Hisham Husain, Richard Nock, Robert C. Williamson
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Maxim Kuznetsov, Daniil Polykovskiy, Dmitry P Vetrov et al.
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration
Jianchun Chen, Lingjing Wang, Xiang Li et al.
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia, Tongliang Liu, Nannan Wang et al.
Are deep ResNets provably better than linear predictors?
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber et al.
A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou