Papers
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS
Shengyang Sun, Guodong Zhang, Jiaxin Shi et al.
Function-Space Distributions over Kernels
Gregory Benton, Wesley J Maddox, Jayson Salkey et al.
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang, Tongzheng Ren, Jun Zhu et al.
Fundamental Frequency Accommodation in Multi-Party Human-Robot Game Interactions: The Effect of Winning or Losing
Omnia Ibrahim, Gabriel Skantze, Sabine Stoll et al.
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification
Chongqin Lei, Weiguo Gong, Zixu Wang
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni et al.
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins et al.
Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins et al.
Fusion Strategy for Prosodic and Lexical Representations of Word Importance
Sushant Kafle, Cecilia Ovesdotter Alm, Matt Huenerfauth
Fusion Techniques for Utterance-Level Emotion Recognition Combining Speech and Transcripts
Jilt Sebastian, Piero Pierucci
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
Aimin Zhou, Jinyuan Zhang, Jianyong Sun et al.
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian, Saurabh Sharma, Bernt Schiele et al.
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On
Haoye Dong, Xiaodan Liang, Xiaohui Shen et al.
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao et al.
G2SAT: Learning to Generate SAT Formulas
Jiaxuan You, Haoze Wu, Clark Barrett et al.
G3raphGround: Graph-Based Language Grounding
Mohit Bajaj, Lanjun Wang, Leonid Sigal
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
Fangneng Zhan, Chuhui Xue, Shijian Lu
Gain estimation of linear dynamical systems using Thompson Sampling
Matias I. Müller, Cristian R. Rojas
Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin et al.
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang et al.
Game Design for Eliciting Distinguishable Behavior
Fan Yang, Liu Leqi, Yifan Wu et al.
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma et al.
GamePad: A Learning Environment for Theorem Proving
Daniel Huang, Prafulla Dhariwal, Dawn Song et al.
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
Arvind Raghunathan, Anoop Cherian, Devesh Jha