Papers
Ultrametric Fitting by Gradient Descent
Giovanni Chierchia, Benjamin Perret
Adversarial Self-Defense for Cycle-Consistent GANs
Dina Bashkirova, Ben Usman, Kate Saenko
Momentum-Based Variance Reduction in Non-Convex SGD
Ashok Cutkosky, Francesco Orabona
Control What You Can: Intrinsically Motivated Task-Planning Agent
Sebastian Blaes, Marin Vlastelica Pogančić, Jiajie Zhu et al.
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhoefer, Gordon Wetzstein
Variational Temporal Abstraction
Taesup Kim, Sungjin Ahn, Yoshua Bengio
Off-Policy Evaluation via Off-Policy Classification
Alexander Irpan, Kanishka Rao, Konstantinos Bousmalis et al.
Dual Variational Generation for Low Shot Heterogeneous Face Recognition
Chaoyou Fu, Xiang Wu, Yibo Hu et al.
Quality Aware Generative Adversarial Networks
KANCHARLA PARIMALA, Sumohana Channappayya
Deep Active Learning with a Neural Architecture Search
Yonatan Geifman, Ran El-Yaniv
Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan et al.
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
Maria Jahja, David Farrow, Roni Rosenfeld et al.
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye et al.
Visualizing the PHATE of Neural Networks
Scott Gigante, Adam S Charles, Smita Krishnaswamy et al.
Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta, Remi Gribonval, Laurent Daudet et al.
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue et al.
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
Mingrui Zhang, Lin Chen, Hamed Hassani et al.
SGD on Neural Networks Learns Functions of Increasing Complexity
Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran et al.
Inherent Tradeoffs in Learning Fair Representations
Han Zhao, Geoff Gordon
Elliptical Perturbations for Differential Privacy
Matthew Reimherr, Jordan Awan
Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi et al.
Piecewise Strong Convexity of Neural Networks
Tristan Milne
Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss
Zhao Song, David Woodruff, Peilin Zhong
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao et al.