| 2021 | Bridging Code-Text Representation Gap using Explanation. | Hojae Han, Youngwon Lee, Minsoo Kim, Seung-won Hwang |
| 2021 | Encoder-decoder-based image transformation approach for integrating precipitation forecasts. | Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda |
| 2021 | ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data. | Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang |
| 2021 | Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. | Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley |
| 2021 | Learning to Switch Optimizers for Quadratic Programming. | Grant Getzelman, Prasanna Balaprakash |
| 2021 | Improving Gaussian mixture latent variable model convergence with Optimal Transport. | Benoit Gaujac, Ilya Feige, David Barber |
| 2021 | Skew-symmetrically perturbed gradient flow for convex optimization. | Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane |
| 2021 | Scalable gradient matching based on state space Gaussian Processes. | Futoshi Futami |
| 2021 | Learning Maximum Margin Markov Networks from examples with missing labels. | Vojtech Franc, Andrii Yermakov |
| 2021 | Ensembling With a Fixed Parameter Budget: When Does It Help and Why? | Didan Deng, Bertram Emil Shi |
| 2021 | Convolutional Hypercomplex Embeddings for Link Prediction. | Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo |
| 2021 | The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization. | Aaron Defazio, Robert M. Gower |
| 2021 | Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models. | Napoleon Costilla-Enriquez, Yang Weng |
| 2021 | Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. | Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellstrm |
| 2021 | Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data. | Yutao Chen, Yu Zhang, Fei Yang |
| 2021 | S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving. | Weihuang Chen, Fangfang Wang, Hongbin Sun |
| 2021 | Multi-scale Salient Instance Segmentation based on Encoder-Decoder. | Houru Chen, Caijuan Shi, Wei Li, Changyu Duan, jinwei Yan |
| 2021 | Relation Also Need Attention: Integrating Relation Information Into Image Captioning. | Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma |
| 2021 | Efficient Coreset Constructions via Sensitivity Sampling. | Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou |
| 2021 | A Mutual Information Regularization for Adversarial Training. | Modeste Atsague, Olukorede Fakorede, Jin Tian |
| 2021 | Fast Rate Learning in Stochastic First Price Bidding. | Juliette Achddou, Olivier Capp, Aurlien Garivier |
| 2021 | Beyond L | Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia, Vincent Bindschaedler, Thomas Shrimpton, Patrick Traynor |
| 2021 | CTAB-GAN: Effective Table Data Synthesizing. | Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen |
| 2021 | Lifelong Learning with Branching Experts. | Yi-Shan Wu, Yi-Te Hong, Chi-Jen Lu |
| 2020 | Dual Learning: Theoretical Study and an Algorithmic Extension. | Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu |