Papers
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero Simoncelli
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Joshua Robinson, Suvrit Sra, Stefanie Jegelka
Flexible Multi-View Representation Learning for Subspace Clustering
Ruihuang Li, Changqing Zhang, Qinghua Hu et al.
Flexible Representative Democracy: An Introduction with Binary Issues
Ben Abramowitz, Nicholas Mattei
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, Joern-Henrik Jacobsen et al.
Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans
Cheng Lin, Changjian Li, Wenping Wang
Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path
Jiacheng Chen, Chen Liu, Jiaye Wu et al.
FloWaveNet : A Generative Flow for Raw Audio
Sungwon Kim, Sang-Gil Lee, Jongyoon Song et al.
Flow-based Image-to-Image Translation with Feature Disentanglement
Ruho Kondo, Keisuke Kawano, Satoshi Koide et al.
FlowBlaze: Stateful Packet Processing in Hardware
Salvatore Pontarelli, Roberto Bifulco, Marco Bonola et al.
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
Yi-Ting Yeh, Yun-Nung Chen
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho, Xi Chen, Aravind Srinivas et al.
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li et al.
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li et al.
Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Elizabeth Salesky, Matthias Sperber, Alexander Waibel
FML: Face Model Learning From Videos
Ayush Tewari, Florian Bernard, Pablo Garrido et al.
FOCNet: A Fractional Optimal Control Network for Image Denoising
Xixi Jia, Sanyang Liu, Xiangchu Feng et al.
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh et al.
Focused Quantization for Sparse CNNs
Yiren Zhao, Xitong Gao, Daniel Bates et al.
Focus Is All You Need: Loss Functions for Event-Based Vision
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System
Ming-Hsiang Su, Chung-Hsien Wu, Yi Chang
Fooling Network Interpretation in Image Classification
Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash