Papers
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao, Li Dong, Furu Wei et al.
Unique Properties of Flat Minima in Deep Networks
Rotem Mulayoff, Tomer Michaeli
Universal Average-Case Optimality of Polyak Momentum
Damien Scieur, Fabian Pedregosa
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alex Chan, Ahmed Alaa, Zhaozhi Qian et al.
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Micah Goldblum, Steven Reich, Liam Fowl et al.
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Andrey Voynov, Artem Babenko
Unsupervised Speech Decomposition via Triple Information Bottleneck
Kaizhi Qian, Yang Zhang, Shiyu Chang et al.
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao, Yunbo Wang, Mingsheng Long et al.
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel, Rana Ali Amjad, Mart Van Baalen et al.
Upper bounds for Model-Free Row-Sparse Principal Component Analysis
Guanyi Wang, Santanu Dey
Variable Skipping for Autoregressive Range Density Estimation
Eric Liang, Zongheng Yang, Ion Stoica et al.
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems
Filip Hanzely, Dmitry Kovalev, Peter Richtarik
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Michael Zhu, Chang Liu, Jun Zhu
Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang, Yang Zhao, Changyou Chen
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis et al.
Variational Bayesian Quantization
Yibo Yang, Robert Bamler, Stephan Mandt
Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan et al.
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang et al.
Variational Label Enhancement
Ning Xu, Jun Shu, Yun-Peng Liu et al.
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen, Cheng Lu, Biqi Chenli et al.
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Zoltán Milacski, Barnabas Poczos, Andras Lorincz
Video Prediction via Example Guidance
Jingwei Xu, Huazhe Xu, Bingbing Ni et al.
Visual Grounding of Learned Physical Models
Yunzhu Li, Toru Lin, Kexin Yi et al.
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf