Papers
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
Qi Zhou, Yufei Kuang, Zherui Qiu et al.
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter, Ayman Boustati, Nikolas Nüsken et al.
Linear Time Sinkhorn Divergences using Positive Features
Meyer Scetbon, Marco Cuturi
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
Amir Rahimi, Amirreza Shaban, Ching-An Cheng et al.
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová
Is normalization indispensable for training deep neural network?
Jie Shao, Kai Hu, Changhu Wang et al.
Latent Bandits Revisited
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
Group Contextual Encoding for 3D Point Clouds
Xu Liu, Chengtao Li, Jian Wang et al.
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
Alekh Agarwal, Mikael Henaff, Sham Kakade et al.
Robust Disentanglement of a Few Factors at a Time using rPU-VAE
Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik
Instance-wise Feature Grouping
Aria Masoomi, Chieh Wu, Tingting Zhao et al.
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks
Zixiang Chen, Yuan Cao, Quanquan Gu et al.
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler, Francesca Mastrogiuseppe, Alexis Dubreuil et al.
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
Miao Zhang, Huiqi Li, Shirui Pan et al.
Sample Complexity of Uniform Convergence for Multicalibration
Eliran Shabat, Lee Cohen, Yishay Mansour
Learning compositional functions via multiplicative weight updates
Jeremy Bernstein, Jiawei Zhao, Markus Meister et al.
Video Frame Interpolation without Temporal Priors
Youjian Zhang, Chaoyue Wang, Dacheng Tao
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter, Adam Prugel-Bennett, Jonathon Hare
Instance Selection for GANs
Terrance DeVries, Michal Drozdzal, Graham W. Taylor
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler, Daniel Zügner, Stephan Günnemann
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso, Luca Cavalleri, Dominique Beaini et al.
Program Synthesis with Pragmatic Communication
Yewen Pu, Kevin Ellis, Marta Kryven et al.
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina et al.
On Infinite-Width Hypernetworks
Etai Littwin, Tomer Galanti, Lior Wolf et al.