Papers
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan, Maziar Sanjabi, Lambert Mathias et al.
Universal and data-adaptive algorithms for model selection in linear contextual bandits
Vidya K Muthukumar, Akshay Krishnamurthy
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
Beren Millidge, Tommaso Salvatori, Yuhang Song et al.
Universality of Winning Tickets: A Renormalization Group Perspective
William T Redman, Tianlong Chen, Zhangyang Wang et al.
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Michael Puthawala, Matti Lassas, Ivan Dokmanic et al.
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
Jing Lin, Xiaowan Hu, Yuanhao Cai et al.
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
Unsupervised Image Representation Learning with Deep Latent Particles
Tal Daniel, Aviv Tamar
Utility Theory for Sequential Decision Making
Mehran Shakerinava, Siamak Ravanbakhsh
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Manuel T Nonnenmacher, Lukas Oldenburg, Ingo Steinwart et al.
Validating Causal Inference Methods
Harsh Parikh, Carlos Varjao, Louise Xu et al.
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
Lucy L Gao, Jane Ye, Haian Yin et al.
Variational Feature Pyramid Networks
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret, David Blei
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner, Justin Domke
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
Yichen Gu, David T Blaauw, Joshua Welch
Variational nearest neighbor Gaussian process
Luhuan Wu, Geoff Pleiss, John P Cunningham
Variational On-the-Fly Personalization
Jangho Kim, Jun-Tae Lee, Simyung Chang et al.
Variational Sparse Coding with Learned Thresholding
Kion Fallah, Christopher J Rozell
Variational Wasserstein gradient flow
Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei et al.
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
Randy Ardywibowo, Zepeng Huo, Zhangyang Wang et al.
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis
Tathagat Verma, Abir De, Yateesh Agrawal et al.