Papers
VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract)
Toki Takahashi, Ryota Higa, Katsuhide Fujita et al.
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
Christian Schilling, Marcelo Forets, Sebastián Guadalupe
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering
Junbin Xiao, Angela Yao, Zhiyuan Liu et al.
Vision Transformers Are Robust Learners
Sayak Paul, Pin-Yu Chen
Visual Consensus Modeling for Video-Text Retrieval
Shuqiang Cao, Bairui Wang, Wei Zhang et al.
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects
Bianca Scarlini, Tommaso Pasini, Roberto Navigli
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)
Amil Dravid, Aggelos K. Katsaggelos
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
Yue He, Chen Chen, Jing Zhang et al.
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
Xian Liu, Rui Qian, Hang Zhou et al.
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Minghui Chen, Cheng Wen, Feng Zheng et al.
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee et al.
Wasserstein Unsupervised Reinforcement Learning
Shuncheng He, Yuhang Jiang, Hongchang Zhang et al.
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks
Jidong Tian, Yitian Li, Wenqing Chen et al.
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text
Amrita Saha, Shafiq Joty, Steven C.H. Hoi
Weakly-Supervised Salient Object Detection Using Point Supervision
Shuyong Gao, Wei Zhang, Yan Wang et al.
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
Minghang Zheng, Yanjie Huang, Qingchao Chen et al.
Weighted Fairness Notions for Indivisible Items Revisited
Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong
Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
Sagar Malhotra, Luciano Serafini
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks
Guangxiang Zhao, Wenkai Yang, Xuancheng Ren et al.
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
Hongyao Tang, Zhaopeng Meng, Jianye Hao et al.
What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies
Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
Fernando Martínez-Plumed, David Castellano, Carlos Monserrat-Aranda et al.
When Can the Defender Effectively Deceive Attackers in Security Games?
Thanh Nguyen, Haifeng Xu
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou, Yan Yan, Jing-Hao Xue et al.
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Guangting Wang, Yucheng Zhao, Chuanxin Tang et al.