Papers
User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell et al.
User-item fairness tradeoffs in recommendations
Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg
Using Noise to Infer Aspects of Simplicity Without Learning
Zachery Boner, Harry Chen, Lesia Semenova et al.
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
Lei Shi, Waverly Wei, Jingshen Wang
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
Franziska Heeg, Ingo Scholtes
Using Unity to Help Solve Reinforcement Learning
Connor Brennan, Andrew Robert Williams, Omar G. Younis et al.
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
Ilan Naiman, Nimrod Berman, Itai Pemper et al.
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion
Simone Foti, Stefanos Zafeiriou, Tolga Birdal
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Sihao Hu, Ling Liu
Validating Climate Models with Spherical Convolutional Wasserstein Distance
Robert C. Garrett, Trevor Harris, Zhuo Wang et al.
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
Pihe Hu, Shaolong Li, Zhuoran Li et al.
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets
Ike Obi, Rohan Pant, Srishti Shekhar Agrawal et al.
Variational Delayed Policy Optimization
Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang et al.
Variational Distillation of Diffusion Policies into Mixture of Experts
Hongyi Zhou, Denis Blessing, Ge Li et al.
Variational Flow Matching for Graph Generation
Floor Eijkelboom, Grigory Bartosh, Christian A. Naesseth et al.
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
Ruiqi Li, Yiu-ming Cheung
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Sicheng Xu, Guojun Chen, Yu-Xiao Guo et al.
VastTrack: Vast Category Visual Object Tracking
Liang Peng, Junyuan Gao, Xinran Liu et al.
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
Yang Li, Shaobo Han, Shihao Ji
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Hanlin Chen, Fangyin Wei, Chen Li et al.
Vector Quantization Prompting for Continual Learning
Li Jiao, Qiuxia Lai, Yu Li et al.
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections
Roy Miles, Pradyumna Reddy, Ismail Elezi et al.
Verifiably Robust Conformal Prediction
Linus Jeary, Tom Kuipers, Mehran Hosseini et al.