Papers
Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen, Pieter Abbeel, Deepak Pathak
Unsupervised Part Representation by Flow Capsules
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani et al.
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park, Sangho Lee, Gunhee Kim et al.
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim, Seohong Park, Gunhee Kim
Valid Causal Inference with (Some) Invalid Instruments
Jason S Hartford, Victor Veitch, Dhanya Sridhar et al.
Value Alignment Verification
Daniel S Brown, Jordan Schneider, Anca Dragan et al.
Value-at-Risk Optimization with Gaussian Processes
Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low et al.
Value Iteration in Continuous Actions, States and Time
Michael Lutter, Shie Mannor, Jan Peters et al.
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu, Youngsuk Park, Lifan Chen et al.
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Chaobing Song, Stephen J Wright, Jelena Diakonikolas
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