Papers
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
Kang Han, Wei Xiang, Lu Yu
VoxDet: Voxel Learning for Novel Instance Detection
Bowen Li, Jiashun Wang, Yaoyu Hu et al.
VPGTrans: Transfer Visual Prompt Generator across LLMs
Ao Zhang, Hao Fei, Yuan Yao et al.
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Zekun Qi, Muzhou Yu, Runpei Dong et al.
VRA: Variational Rectified Activation for Out-of-distribution Detection
Mingyu Xu, Zheng Lian, Bin Liu et al.
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors
Li-wei Lehman, Benjamin Moody, Harsh Deep et al.
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks
Aoxiang Zhang, Yu Ran, Weixuan Tang et al.
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding
Yanchao Tan, Zihao Zhou, Hang Lv et al.
Wasserstein distributional robustness of neural networks
Xingjian Bai, Guangyi He, Yifan Jiang et al.
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Hanna Ziesche, Leonel Rozo
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Kirill Neklyudov, Jannes Nys, Luca Thiede et al.
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Cole Gulino, Justin Fu, Wenjie Luo et al.
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie et al.
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
Satoshi Tsutsui, Winnie Pang, Bihan Wen
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
Elliott Ash, Naman Goel, Nianyun Li et al.
Weakly Coupled Deep Q-Networks
Ibrahim El Shar, Daniel Jiang
Weakly Supervised 3D Open-vocabulary Segmentation
Kunhao Liu, Fangneng Zhan, Jiahui Zhang et al.
Weakly-Supervised Audio-Visual Segmentation
Shentong Mo, Bhiksha Raj
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Chunming He, Kai Li, Yachao Zhang et al.
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
HuiYang Shao, Qianqian Xu, Zhiyong Yang et al.
Weitzman's Rule for Pandora's Box with Correlations
Evangelia Gergatsouli, Christos Tzamos
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kuehne et al.
What can a Single Attention Layer Learn? A Study Through the Random Features Lens
Hengyu Fu, Tianyu Guo, Yu Bai et al.
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Taicheng Guo, kehan Guo, Bozhao Nan et al.
What Can We Learn from Unlearnable Datasets?
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping et al.