Papers
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu, Sirui Xie, Xiaojian Ma et al.
Unsupervised Learning of Compositional Energy Concepts
Yilun Du, Shuang Li, Yash Sharma et al.
Unsupervised Motion Representation Learning with Capsule Autoencoders
Ziwei Xu, Xudong Shen, Yongkang Wong et al.
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin, Huan-Hsin Tseng, Xugang Lu et al.
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
Antonia Creswell, Rishabh Kabra, Chris Burgess et al.
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie, Xiaohang Zhan, Ziwei Liu et al.
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury, Iro Laina, Christian Rupprecht et al.
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
Hee Min Choi, Hyoa Kang, Dokwan Oh
Unsupervised Speech Recognition
Alexei Baevski, Wei-Ning Hsu, Alexis CONNEAU et al.
User-Level Differentially Private Learning via Correlated Sampling
Badih Ghazi, Ravi Kumar, Pasin Manurangsi
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
Giora Simchoni, Saharon Rosset
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Zeru Zhang, Jiayin Jin, Zijie Zhang et al.
Validation Free and Replication Robust Volume-based Data Valuation
Xinyi Xu, Zhaoxuan Wu, Chuan Sheng Foo et al.
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Yifei Min, Tianhao Wang, Dongruo Zhou et al.
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen, Yuanxin Zhang, Yuanfan Xu et al.
Variational Bayesian Optimistic Sampling
Brendan O'Donoghue, Tor Lattimore
Variational Bayesian Reinforcement Learning with Regret Bounds
Brendan O'Donoghue
Variational Continual Bayesian Meta-Learning
Qiang Zhang, Jinyuan Fang, Zaiqiao Meng et al.
Variational Diffusion Models
Diederik Kingma, Tim Salimans, Ben Poole et al.
Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs, Bastian Alt, Heinz Koeppl
Variational Model Inversion Attacks
Kuan-Chieh Wang, YAN FU, Ke Li et al.
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen, Xiantong Zhen, Marcel Worring et al.
VAST: Value Function Factorization with Variable Agent Sub-Teams
Thomy Phan, Fabian Ritz, Lenz Belzner et al.
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari, Liangzhe Yuan, Rui Qian et al.