Papers
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality
Guihong Wan, Haim Schweitzer
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
Han-Hsien Huang, Mi-Yen Yeh
Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment
Satyajeet Raje, Karina Kervin, Nergal Issaie et al.
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
Johan Bjorck, Brendan H. Rappazzo, Qinru Shi et al.
Accelerating Neural Machine Translation with Partial Word Embedding Compression
Fan Zhang, Mei Tu, Jinyao Yan
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg et al.
Accurate and Robust Feature Importance Estimation under Distribution Shifts
Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh et al.
Achieving Proportionality up to the Maximin Item with Indivisible Goods
Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis et al.
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Xunpeng Huang, Runxin Xu, Hao Zhou et al.
A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems
Xing Tan, Jimmy Xiangji Huang
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices
Yuxuan Cai, Geng Yuan, Hongjia Li et al.
A Computational Approach to Sign Language Understanding
Tejaswini Ananthanarayana
A Context Aware Approach for Generating Natural Language Attacks
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
Ervine Zheng, Qi Yu, Rui Li et al.
A Controllable Model of Grounded Response Generation
Zeqiu Wu, Michel Galley, Chris Brockett et al.
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
Ziyi Liu, Le Wang, Qilin Zhang et al.
ACT: an Attentive Convolutional Transformer for Efficient Text Classification
Pengfei Li, Peixiang Zhong, Kezhi Mao et al.
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Zecheng He, Srinivas Sunkara, Xiaoxue Zang et al.
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Haobo Jiang, Jin Xie, Jian Yang
Active Bayesian Assessment of Black-Box Classifiers
Disi Ji, Robert L. Logan, Padhraic Smyth et al.
Active Feature Selection for the Mutual Information Criterion
Shachar Schnapp, Sivan Sabato
Activity Image-to-Video Retrieval by Disentangling Appearance and Motion
Liu Liu, Jiangtong Li, Li Niu et al.
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Zhewei Yao, Amir Gholami, Sheng Shen et al.
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
Siwei Wang, Haoyun Wang, Longbo Huang