Papers
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Seyed Iranmanesh et al.
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou, Richard Zemel, Raquel Urtasun
Few-Shot Object Recognition From Machine-Labeled Web Images
Zhongwen Xu, Linchao Zhu, Yi Yang
FFTLasso: Large-Scale LASSO in the Fourier Domain
Adel Bibi, Hani Itani, Bernard Ghanem
f-GANs in an Information Geometric Nutshell
Richard Nock, Zac Cranko, Aditya K Menon et al.
Filling the Blanks (hint: plural noun) for Mad Libs Humor
Nabil Hossain, John Krumm, Lucy Vanderwende et al.
Filter Flow Made Practical: Massively Parallel and Lock-Free
Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee et al.
Filtering Variational Objectives
Chris J Maddison, John Lawson, George Tucker et al.
Finding Dominant User Utterances And System Responses in Conversations
Dhiraj Madan, Sachindra Joshi
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Natalie Parde, Rodney Nielsen
Finding Prototypes of Answers for Improving Answer Sentence Selection
Wai Lok Tam, Namgi Han, Juan Ignacio Navarro-Horñiacek et al.
Finding Robust Solutions to Stable Marriage
Begum Genc, Mohamed Siala, Barry O'Sullivan et al.
Finding Tiny Faces
Peiyun Hu, Deva Ramanan
Fine Grained Citation Span for References in Wikipedia
Besnik Fetahu, Katja Markert, Avishek Anand
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Abhishek, Ashish Anand, Amit Awekar
Fine-Grained Entity Typing with High-Multiplicity Assignments
Maxim Rabinovich, Dan Klein
Fine-Grained Image Classification via Combining Vision and Language
Xiangteng He, Yuxin Peng
Fine-Grained Recognition as HSnet Search for Informative Image Parts
Michael Lam, Behrooz Mahasseni, Sinisa Todorovic
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training
Leonid Karlinsky, Joseph Shtok, Yochay Tzur et al.
Fine-To-Coarse Global Registration of RGB-D Scans
Maciej Halber, Thomas Funkhouser
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
Zongwei Zhou, Jae Shin, Lei Zhang et al.
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu et al.
Finite-sum Composition Optimization via Variance Reduced Gradient Descent
Xiangru Lian, Mengdi Wang, Ji Liu
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari, Alejandro Ribeiro
First-Order Modular Logic Programs and their Conservative Extensions (Extended Abstract)
Amelia Harrison, Yuliya Lierler