Papers
11,955 papers found
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde, Victoriano Montesinos, Elvis Nava et al.
Vision Transformers Need Registers
Timothée Darcet, Maxime Oquab, Julien Mairal et al.
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
Vishaal Udandarao, Max F Burg, Samuel Albanie et al.
VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation
Wenjie Zhuo, Fan Ma, Hehe Fan et al.
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Ling Yang, Ye Tian, Minkai Xu et al.
VQ-TR: Vector Quantized Attention for Time Series Forecasting
Kashif Rasul, Andrew Bennett, Pablo Vicente et al.
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
Yankun Xu, Junzhe Wang, Yun-Hsuan Chen et al.
V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation
Pooja Guhan, Tsung-Wei Huang, Guan-Ming Su et al.
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Sheng Li, Chao Wu, Ao Li et al.
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
Yifeng Fan, Yongqiang Li, Bo Chen
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
Yufei Zhang, Jeffrey Kephart, Qiang Ji
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida et al.
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Hannah Kniesel, Leon Sick, Tristan Payer et al.
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende et al.
WebArena: A Realistic Web Environment for Building Autonomous Agents
Shuyan Zhou, Frank F. Xu, Hao Zhu et al.
Weight Conditioning for Smooth Optimization of Neural Networks
Hemanth Saratchandran, Thomas X Wang, Simon Lucey
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin et al.
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra et al.
What does automatic differentiation compute for neural networks?
Sejun Park, Sanghyuk Chun, Wonyeol Lee
What does the Knowledge Neuron Thesis Have to do with Knowledge?
Jingcheng Niu, Andrew Liu, Zining Zhu et al.
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
Gabryel Mason-Williams, Fredrik Dahlqvist
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He et al.
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka et al.