Papers
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks
Ye Li, Song-Can Chen, Sheng-Jun Huang
Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization
Yanhao Wang, Jiping Zheng, Fanxu Meng
Improved Algorithms for Maximum Satisfiability and Its Special Cases
Kirill Brilliantov, Vasily Alferov, Ivan Bliznets
Improved Kernel Alignment Regret Bound for Online Kernel Learning
Junfan Li, Shizhong Liao
Improvement-Focused Causal Recourse (ICR)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract)
Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Pengyue Hou, Jie Han, Xingyu Li
Improving Biomedical Entity Linking with Cross-Entity Interaction
Zhenran Xu, Yulin Chen, Baotian Hu
Improving Crowded Object Detection via Copy-Paste
Jiangfan Deng, Dewen Fan, Xiaosong Qiu et al.
Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract)
Huinan Xu, Jinhui Pang, Shuangyong Song et al.
Improving Distantly Supervised Relation Extraction by Natural Language Inference
Kang Zhou, Qiao Qiao, Yuepei Li et al.
Improving Dynamic HDR Imaging with Fusion Transformer
Rufeng Chen, Bolun Zheng, Hua Zhang et al.
Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data
Yuhao Zhang, Chen Xu, Bojie Hu et al.
Improving Fairness in Information Exposure by Adding Links
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Jiahao Chen, Zitao Liu, Shuyan Huang et al.
Improving Interpretability via Explicit Word Interaction Graph Layer
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava et al.
Improving Long-Horizon Imitation through Instruction Prediction
Joey Hejna, Pieter Abbeel, Lerrel Pinto
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Long P. Hoang, Dung D. Le, Tran Anh Tuan et al.
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers
Xuyang Li, Yipu Zhang, Xuemei Xie et al.
Improving Robust Fariness via Balance Adversarial Training
Chunyu Sun, Chenye Xu, Chengyuan Yao et al.
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
Shipeng Zhu, Zuoyan Zhao, Pengfei Fang et al.
Improving Simultaneous Machine Translation with Monolingual Data
Hexuan Deng, Liang Ding, Xuebo Liu et al.
Improving the Cross-Lingual Generalisation in Visual Question Answering
Farhad Nooralahzadeh, Rico Sennrich
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Lei Shang, Mouxiao Huang, Wu Shi et al.
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
Subhankar Ghosh, Taha Belkhouja, Yan Yan et al.