Papers
Uplift Modeling from Separate Labels
Ikko Yamane, Florian Yger, Jamal Atif et al.
Using Large Ensembles of Control Variates for Variational Inference
Tomas Geffner, Justin Domke
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Dan Hendrycks, Mantas Mazeika, Duncan Wilson et al.
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip Gibbons et al.
Variational Bayesian Monte Carlo
Luigi Acerbi
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang, Hao Liu, Qiang Liu
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu, Avi Singh, Dibya Ghosh et al.
Variational Learning on Aggregate Outputs with Gaussian Processes
Ho Chung Law, Dino Sejdinovic, Ewan Cameron et al.
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen et al.
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
Ganesh Sundaramoorthi, Anthony Yezzi
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani, Yewen Pu, Armando Solar-Lezama
VideoCapsuleNet: A Simplified Network for Action Detection
Kevin Duarte, Yogesh Rawat, Mubarak Shah
Video Prediction via Selective Sampling
Jingwei Xu, Bingbing Ni, Xiaokang Yang
Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al.
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen, Weihong Deng, Haifeng Shen
Visualizing the Loss Landscape of Neural Nets
Hao Li, Zheng Xu, Gavin Taylor et al.
Visual Memory for Robust Path Following
Ashish Kumar, Saurabh Gupta, David Fouhey et al.
Visual Object Networks: Image Generation with Disentangled 3D Representations
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang et al.
Visual Reinforcement Learning with Imagined Goals
Ashvin V Nair, Vitchyr Pong, Murtaza Dalal et al.
Wasserstein Distributionally Robust Kalman Filtering
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Huhn et al.
Wasserstein Variational Inference
Luca Ambrogioni, Umut Güçlü, Yağmur Güçlütürk et al.
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou et al.
Wavelet regression and additive models for irregularly spaced data
Asad Haris, Ali Shojaie, Noah Simon
Weakly Supervised Dense Event Captioning in Videos
Xuguang Duan, Wenbing Huang, Chuang Gan et al.
When do random forests fail?
Cheng Tang, Damien Garreau, Ulrike von Luxburg