2021

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
2021.06.23
발표자: 김사무엘     발표일자: 2021-06-23     저자: Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh     학회명: NAACL 2021    

Do Transformers Really Perform Bad for Graph Representation?
2021.06.23
발표자: 최윤석     발표일자: 2021-06-23     저자: hengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Dalian    

FLAG: ADVERSARIAL DATA AUGMENTATION FOR GRAPH NEURAL NETWORKS
2021.06.23
발표자: 김호승     발표일자: 2021-06-23     저자: Kezhi Kong1 , Guohao Li2 , Mucong Ding1 , Zuxuan Wu1 , Chen Zhu1 , Bernard Ghanem2 , Gavin Taylor3 , Tom Goldstein1     학회명: arxiv2020    

Meta Pseudo Labels
2021.06.23
발표자: 김누리     발표일자: 2021-06-23     저자: Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le     학회명: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.    

FedBE:Making Bayesian Model Ensemble Applicable to Federated Learning
2021.06.17
발표자: 강용훈     발표일자: 2021-06-17     저자: Hong-You Chen, Wei-Lun Chao     학회명: ICLR 2021    

NBDT: NEURAL-BACKED DECISION TREE
2021.06.17
발표자: 강석규     발표일자: 2021-06-17     저자: Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez     학회명: ICLR2021    

DDSLP: A Distributed Framework for Semi-supervised Link Prediction
2021.06.17
발표자: 김가형     발표일자: 2021-06-17     저자: Dalong Zhang, Xianzheng Song, Xiqi Liu, Zhiqiang Zhang     학회명: 2019 IEEE International Conference on Big Data    

HETEROFL: COMPUTATION AND COMMUNICATION EFFICIENT FEDERATED LEARNING FOR HETEROGENEOUS CLIENTS
2021.06.17
발표자: 임지영     발표일자: 2021-06-17     학회명: ICLR 2021    

GETTING A CLUE: A method for explaining uncertainty estimates
2021.06.09
발표자: 박은미     발표일자: 2021-06-09     저자: Javier Antoran     논문지: ICLR 2021    

Dual Super-Resolution Learning for Semantic Segmentation
2021.06.09
발표자: 홍만수     발표일자: 2021-06-09     저자: Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan     학회명: CVPR 2020    

Generalized ODIN : Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
2021.06.09
발표자: 노순철     발표일자: 2021-06-09     저자: Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira     학회명: CVPR 2020    

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
2021.06.09
발표자: 윤수현     발표일자: 2021-06-09     저자: Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen     학회명: CVPR 2020 (Oral)    

The Role of ‘Sign’ and ‘Direction’ of Gradient on the Performance of CNN
2021.05.26
발표자: 조영성     발표일자: 2021-05-26     저자: Akshay Agarwal, Richa Singh, Mayank Vatsa     학회명: Conference on Computer Vision and Pattern Recognition Workshops. 2020.    

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
2021.05.26
발표자: 신효정     발표일자: 2021-05-26     저자: Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni     학회명: IEEE International Conference on Big Data(BigData), 2020    

On the Relationship between Self-attention and Convolutional Layers
2021.05.26
발표자: 신재민     발표일자: 2021-05-26     저자: Jean-Baptiste Cordonnier     학회명: ICLR 2020    

SWITCH TRANSFORMERS: SCALING TO TRILLION PARAMETER MODELS WITH SIMPLE AND EFFICIENT SPARSITY
2021.05.26
발표자: 나철원     발표일자: 2021-05-26     저자: William Fedus, Barret Zoph, Noam Shazeer (Google Brain)     학회명: arXiv 2021    

A Simple Semi-Supervised Learning Framework for Object Detection
2021.05.21
발표자: 김유성     발표일자: 2021-05-20     저자: Kihyuk Sohn, Zizhao Zhang     논문지: arXiv 2020 Dec    

Data Augmentation for graph Neural Networks
2021.05.20
발표자: 김호승     발표일자: 2021-05-20     학회명: AAAI2021    

Open Compound Domain Adaptation
2021.05.20
발표자: 이진섭     발표일자: 2021-05-20     저자: Ziwei Liu¹ , Zhongqi Miao², Xiaohang Pan¹, Xiaohang Zhan¹, Dahua Lin¹, Boqing Gong³ , Stella X. Yu²     학회명: 2020 CVPR    

SIT3: Code Summarization with Structure-Induced Transformer
2021.05.13
발표자: 최윤석     발표일자: 2021-05-13     저자: Hongqiu Wu, Hai Zhao, Min Zhang