Papers
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
Fengxiang He, Tongliang Liu, Dacheng Tao
Amortized Bethe Free Energy Minimization for Learning MRFs
Sam Wiseman, Yoon Kim
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora, Simon S Du, Wei Hu et al.
Spectral Modification of Graphs for Improved Spectral Clustering
Ioannis Koutis, Huong Le
Multi-source Domain Adaptation for Semantic Segmentation
Sicheng Zhao, Bo Li, Xiangyu Yue et al.
Diffeomorphic Temporal Alignment Nets
Ron A Shapira Weber, Matan Eyal, Nicki Skafte et al.
A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou
Convergent Policy Optimization for Safe Reinforcement Learning
Ming Yu, Zhuoran Yang, Mladen Kolar et al.
The Functional Neural Process
Christos Louizos, Xiahan Shi, Klamer Schutte et al.
G2SAT: Learning to Generate SAT Formulas
Jiaxuan You, Haoze Wu, Clark Barrett et al.
Unsupervised Learning of Object Keypoints for Perception and Control
Tejas D Kulkarni, Ankush Gupta, Catalin Ionescu et al.
CNN^{2}: Viewpoint Generalization via a Binocular Vision
Wei-Da Chen, Shan-Hung (Brandon) Wu
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Yanis Bahroun, Dmitri Chklovskii, Anirvan Sengupta
Multilabel reductions: what is my loss optimising?
Aditya K Menon, Ankit Singh Rawat, Sashank Reddi et al.
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
Anmol Kagrecha, Jayakrishnan Nair, Krishna Jagannathan
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi
Subquadratic High-Dimensional Hierarchical Clustering
Amir Abboud, Vincent Cohen-Addad, Hussein Houdrouge
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal, Manuel Wuthrich, Djordje Miladinovic et al.
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
Quaternion Knowledge Graph Embeddings
SHUAI ZHANG, Yi Tay, Lina Yao et al.
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
Niru Maheswaranathan, Alex Williams, Matthew Golub et al.
Approximating the Permanent by Sampling from Adaptive Partitions
Jonathan Kuck, Tri Dao, Hamid Rezatofighi et al.
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini et al.
Differentiable Ranking and Sorting using Optimal Transport
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert