Papers
Learning Document Embeddings with Crossword Prediction
Junyu Luo, Min Yang, Ying Shen et al.
Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin et al.
Learning Dynamic Context Augmentation for Global Entity Linking
Xiyuan Yang, Xiaotao Gu, Sheng Lin et al.
Learning Dynamic Generator Model by Alternating Back-Propagation through Time
Jianwen Xie, Ruiqi Gao, Zilong Zheng et al.
Learning dynamic polynomial proofs
Alhussein Fawzi, Mateusz Malinowski, Hamza Fawzi et al.
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim, Yoonho Lee
Learning elementary structures for 3D shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher et al.
Learning Embeddings into Entropic Wasserstein Spaces
Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions
Amirreza Shirani, Franck Dernoncourt, Paul Asente et al.
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li, Matthias Fresacher, Jonathan Scarlett
Learning Exploration Policies for Navigation
Tao Chen, Saurabh Gupta, Abhinav Gupta
Learning Factored Markov Decision Processes with Unawareness
Craig Innes, Alex Lascarides
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Zadeh et al.
LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION
Mahsa Baktashmotlagh, Masoud Faraki, Tom Drummond et al.
Learning Fairness in Multi-Agent Systems
Jiechuan Jiang, Zongqing Lu
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
Tri Dao, Albert Gu, Matthew Eichhorn et al.
Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet, Guillem Francès, Hector Geffner
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
Yizhe Zhu, Jianwen Xie, Bingchen Liu et al.
Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li, Shuhang Gu, Luc Van Gool et al.
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul, Alan Fern, Sam Greydanus
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh et al.
Learning Flexible Latent Representations via Encapsulated Variational Encoders
Wenjun Bai, Changqin Quan, Zhi-Wei Luo
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
Seonguk Seo, Paul Hongsuck Seo, Bohyung Han