발표자 | 나철원 |
---|---|
발표일자 | 2020-09-02 |
저자 | Robin Cheong, Robel Daniel |
학회명 | Standford report 2019 |
논문지 |
transformers.zip: Compressing Transformers with Pruning and Quantization
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2021

Pseudo Shots: Few-Shot Learning with Auxiliary Data
2021.03.10
발표자: 김누리
발표일자: 2021-03-10
저자: Reza Esfandiarpoor, Mohsen Hajabdollahi, Stephen H. Bach

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
2021.03.10
발표자: 조제현
발표일자: 2021-03-10
저자: Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, yuan Tian, Feng Yan
학회명: AAAI 2021

BAE: BERT-based Adversarial Examples for Text Classification
2021.03.10
발표자: 나철원
발표일자: 2021-03-10
저자: Siddhant Garg, Goutham Ramakrishnan
학회명: EMNLP 2020

Training data-efficient image transformers & distillation through attention
2021.03.03
발표자: 강석규
발표일자: 2021-03-03
저자: Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
TransGAN: Two Transformers Can Make One Strong GAN
2021.03.03
발표자: 박은미
발표일자: 2021-03-03
저자: Yifan Jiang

Contrastive Representation Distillation (ICLR, 2020)
2021.03.05
발표자: 김가형
발표일자: 2021-03-03
저자: Yonglong Tian, Dilip Krishnan, Philip Isola
학회명: ICLR, 2020

MASKER : Masked Keyword Regularization for Reliable Text Classification
2021.03.03
발표자: 김호승
발표일자: 2021-03-03
저자: Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin
학회명: AAAI2021

Feature Space Singularity for Out-of-Distribution Detection
2021.02.24
발표자: 노순철
발표일자: 2021-02-24
저자: Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu Zhou

Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection
2021.02.24
발표자: Eden
발표일자: 2021-02-24
저자: Hongliang Pan, Zheng Lin, Peng Fu, Yatao Qi, Weiping Wang
학회명: EMNLP 2020

Generative Models for Effective ML on Private, Decentralized Datasets
2021.02.24
발표자: 홍만수
발표일자: 2021-02-24
저자: Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas
학회명: International Conference on Learning Representations (ICLR) 2020

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
2021.02.24
발표자: 신효정
발표일자: 2021-02-24
저자: Dan Li, Dacheng Chen, Lei Shi , Baihong Jin, Jonathan Goh and See-Kiong Ng
학회명: International Conference on Artificial Neural Networks(ICANN) : Text and Time Series, 2019
Semi-Supervised Learning with Generative Adversarial Networks
2021.01.27
발표자: 박진아
발표일자: 2021-01-27
저자: Augustus Odena
CyCADA : Cycle-Consistent Adversarial Domain Adaptation
2021.01.27
발표자: 이진섭
발표일자: 2021-01-27
저자: Jody Hoffman¹, Eric Tzeng¹, Taesung Park¹, Jun-Yan Zhu¹, Phillip Isola¹ ², Kate Saenko³ Alexei A. Efros¹, Trevor Darrell¹
학회명: CVPR
M2m: Imbalanced Classification via Major-to-minor Translation
2021.01.13
발표자: 박은미
발표일자: 2021-01-13
저자: Jaehyung Kim
학회명: Computer Vision and Pattern Recognition (CVPR)
Activation function impact on Sparse Neural Networks
2021.01.06
발표자: 신재민
발표일자: 2020-12-30
저자: Adam Dubowski
학회명: arXiv 2020
d-SNE : Domain Adaptation using Stochastic Neighborhood Embedding
2021.01.06
발표자: 이진섭
발표일자: 2020-12-30
저자: Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder
학회명: CVPR 2019
Can You Really Backdoor Federated Learning?
2021.01.06
발표자: 임지영
발표일자: 2020-12-30
저자: Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan
학회명: the 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality at NeurIPS 2019
GraphCodeBERT: Pre-training Code Representations with Data Flow
2021.01.06
발표자: 최윤석
발표일자: 2020-12-30
저자: Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou,Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng,Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou
학회명: ICLR 2021
2020
Self-Attention Generative Adversarial Networks
2020.12.29
발표자: 서호용
발표일자: 2020-12-24
저자: Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena
학회명: ICML 2019