Papers
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen, Samuel Albanie et al.
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Laming Chen, Guoxin Zhang, Eric Zhou
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang et al.
Hyperbolic Neural Networks
Octavian Ganea, Gary Becigneul, Thomas Hofmann
Approximating Real-Time Recurrent Learning with Random Kronecker Factors
Asier Mujika, Florian Meier, Angelika Steger
Derivative Estimation in Random Design
Yu Liu, Kris De Brabanter
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Nilesh Tripuraneni, Mitchell Stern, Chi Jin et al.
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu et al.
On the Local Minima of the Empirical Risk
Chi Jin, Lydia T. Liu, Rong Ge et al.
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Zhihui Zhu, Xiao Li, Kai Liu et al.
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
Don Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri et al.
The emergence of multiple retinal cell types through efficient coding of natural movies
Samuel Ocko, Jack Lindsey, Surya Ganguli et al.
Adversarial Regularizers in Inverse Problems
Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Bandit Learning with Implicit Feedback
Yi Qi, Qingyun Wu, Hongning Wang et al.
Occam's razor is insufficient to infer the preferences of irrational agents
Stuart Armstrong, Sören Mindermann
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
Yining Wang, Xi Chen, Yuan Zhou
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al.
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin, David Rolnick
Deep Generative Models with Learnable Knowledge Constraints
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov et al.
Neural Networks Trained to Solve Differential Equations Learn General Representations
Martin Magill, Faisal Qureshi, Hendrick de Haan
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen, Weihong Deng, Haifeng Shen
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
Exploration in Structured Reinforcement Learning
Jungseul Ok, Alexandre Proutiere, Damianos Tranos
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Seonghyeon Nam, Yunji Kim, Seon Joo Kim
Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base
Daya Guo, Duyu Tang, Nan Duan et al.