Papers
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu, Tianyu Ding, Daniel Robinson et al.
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization
Sulaiman Alghunaim, Kun Yuan, Ali H. Sayed
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
Jialin Liu, Xiaohan Chen, Zhangyang Wang et al.
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh et al.
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh et al.
A Little Is Enough: Circumventing Defenses For Distributed Learning
Gilad Baruch, Moran Baruch, Yoav Goldberg
A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance
Alexander Erdmann, Salam Khalifa, Mai Oudah et al.
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng et al.
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Eric Wallace, Jens Tuyls, Junlin Wang et al.
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Eric Wallace, Jens Tuyls, Junlin Wang et al.
Alleviating Label Switching with Optimal Transport
Pierre Monteiller, Sebastian Claici, Edward Chien et al.
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
Noémien Kocher, Christian Scuito, Lorenzo Tarantino et al.
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Aaron Fisher, Cynthia Rudin, Francesca Dominici
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
Amanda Kube, Sanmay Das, Patrick J. Fowler
Allocating Planning Effort When Actions Expire
Shahaf S. Shperberg, Andrew Coles, Bence Cserna et al.
All Together Now: The Living Audio Dataset
David A. Braude, Matthew P. Aylett, Caoimhín Laoide-Kemp et al.
All-Weather Deep Outdoor Lighting Estimation
Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy et al.
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen, Di Xie, Yuan Zhang et al.
Almost Envy-Freeness in Group Resource Allocation
Maria Kyropoulou, Warut Suksompong, Alexandros A. Voudouris
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
Andrea Zanette, Mykel J Kochenderfer, Emma Brunskill
Almost surely constrained convex optimization
Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara et al.
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus
Satoru Katsumata, Mamoru Komachi
Almost Unsupervised Learning for Dense Crowd Counting
Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya et al.
Almost Unsupervised Text to Speech and Automatic Speech Recognition
Yi Ren, Xu Tan, Tao Qin et al.
A Local Block Coordinate Descent Algorithm for the CSC Model
Ev Zisselman, Jeremias Sulam, Michael Elad