Papers
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor, Theofanis Karaletsos, Thang D Bui
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix, Dmitrii Kochkov, Jamie Smith et al.
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi, Archit Sharma, Honglak Lee et al.
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao, Kun Xu, Chongxuan Li et al.
Vector Quantized Models for Planning
Sherjil Ozair, Yazhe Li, Ali Razavi et al.
Versatile Verification of Tree Ensembles
Laurens Devos, Wannes Meert, Jesse Davis
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim, Bokyung Son, Ildoo Kim
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
Sung Woo Park, Junseok Kwon
Watermarking Deep Neural Networks with Greedy Residuals
Hanwen Liu, Zhenyu Weng, Yuesheng Zhu
Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis, Henry Gouk, Da Li et al.
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar, Fabrizio Frasca, Yuguang Wang et al.
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
Albert No, Taeho Yoon, Kwon Sehyun et al.
What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov, Sharad Vikram, Matthew D Hoffman et al.
What does LIME really see in images?
Damien Garreau, Dina Mardaoui
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng, Stephen Gould, Liang Zheng
What Makes for End-to-End Object Detection?
Peize Sun, Yi Jiang, Enze Xie et al.
What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
Jonas Fischer, Anna Olah, Jilles Vreeken
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
Zhiyong Yang, Qianqian Xu, Shilong Bao et al.
When Does Data Augmentation Help With Membership Inference Attacks?
Yigitcan Kaya, Tudor Dumitras
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Noam Wies, Yoav Levine, Daniel Jannai et al.
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Neha Wadia, Daniel Duckworth, Samuel S Schoenholz et al.
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov, Aliaksandr Siarohin, Enver Sangineto et al.
Whittle Networks: A Deep Likelihood Model for Time Series
Zhongjie Yu, Fabrizio G Ventola, Kristian Kersting
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund et al.