Papers
Newton Optimization on Helmholtz Decomposition for Continuous Games
Giorgia Ramponi, Marcello Restelli
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
Elad Amrani, Rami Ben-Ari, Daniel Rotman et al.
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
Huaqing Xiong, Tengyu Xu, Yingbin Liang et al.
Non-Autoregressive Coarse-to-Fine Video Captioning
Bang Yang, Yuexian Zou, Fenglin Liu et al.
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
Chang Liu, Xiaoguang Li, Guohao Cai et al.
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
Antoine Ledent, Waleed Mustafa, Yunwen Lei et al.
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
Jiejiang Chen, Shaowei Cai, Shiwei Pan et al.
Nutri-bullets: Summarizing Health Studies by Composing Segments
Darsh J Shah, Lili Yu, Tao Lei et al.
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty et al.
Object-Centric Image Generation from Layouts
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio et al.
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin
Object Relation Attention for Image Paragraph Captioning
Li-Chuan Yang, Chih-Yuan Yang, Jane Yung-jen Hsu
On Continuous Local BDD-Based Search for Hybrid SAT Solving
Anastasios Kyrillidis, Moshe Vardi, Zhiwei Zhang
On Convergence of Gradient Expected Sarsa(λ)
Long Yang, Gang Zheng, Yu Zhang et al.
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang, Xinyang Jiang, Hao Cheng et al.
One-shot Face Reenactment Using Appearance Adaptive Normalization
Guangming Yao, Yi Yuan, Tianjia Shao et al.
One-shot Graph Neural Architecture Search with Dynamic Search Space
Yanxi Li, Zean Wen, Yunhe Wang et al.
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli
On Estimating Recommendation Evaluation Metrics under Sampling
Ruoming Jin, Dong Li, Benjamin Mudrak et al.
On Exploiting Hitting Sets for Model Reconciliation
Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh
On Fair and Efficient Allocations of Indivisible Goods
Aniket Murhekar, Jugal Garg
On Fair Division under Heterogeneous Matroid Constraints
Amitay Dror, Michal Feldman, Erel Segal-Halevi
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny, Mark T Keane
On Learning Deep Models with Imbalanced Data Distribution
Puspita Majumdar, Richa Singh, Mayank Vatsa
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
Hang Zhao, Qijin She, Chenyang Zhu et al.