발표자 | 양희윤 |
---|---|
발표일자 | 2023-03-22 |
저자 | Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, and Ji-Rong Wen |
학회명 | CIKM 2022 |
논문지 |
댓글 1
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jinsuby
2023.03.22 19:13
User의 Embedding vector 정보를 잘 표현하기 위해 Attention 기반의 Representation, Mixup 기반의 Representation을 동시에 활용하는 논문임. 이렇게 표현된 Representation으로 같은 user의 augmented representation 끼리 뭉치게하는 InfoNCE Loss와, user representation과 paired item representation 끼리 뭉치게 하는 InfoNCE Loss로 학습함. 다만, 두 Augmentation간의 기대효과가 어떤 차별점을 보이는지는 조금 더 이해해보아야 함. Mixup의 기대효과에 대해서 고민을 해본다면.. 다른 해석이 이뤄질 수도 있을 것 같음.
2023
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2023.09.20
발표자: 김호승
발표일자: 2023-09-20
저자: Cheng-Han Chiang, Hung-yi Lee
학회명: ACL 2023

Large Selective Kernel Network for Remote Sensing Object Detection
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발표자: 황성준
발표일자: 2023-09-20

Federated Learning from Pre-Trained Models: A Contrastive Learning Apporoach
2023.09.20
발표자: 강용훈
발표일자: 2023-09-20
저자: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
학회명: NeurIPS 2022
Conflict-based cross-view consistency for semi supervised semantic segmentation
2023.09.20
발표자: 장성인
발표일자: 2023-09-20
저자: Zicheng Wang
학회명: CVPR2023

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation
2023.09.13
발표자: 김한별
발표일자: 2023-09-13
저자: Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen
학회명: CIKM 2021

Seizing Critical Learning Periods in Federated Learning
2023.09.13
발표자: 홍만수
발표일자: 2023-09-13
저자: Gang Yan, Hao Wang, Jian Li
학회명: AAAI 2022

Improving Knowledge Distillation via Regularizing Feature Norm and Direction
2023.09.13
발표자: 이재준
발표일자: 2023-09-13
저자: Yuzhu Wang, Lechao Cheng†, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong
논문지: arxiv 2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
2023.09.13
발표자: 안지민
발표일자: 2023-09-13
저자: Yue Wang, Hung Le., et al
학회명: arXiv 2023

AdCo & CaCo
2023.09.06
발표자: 이진섭
발표일자: 2023-09-06
저자: Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi | Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi
학회명: AdCo : 2021 CVPR
논문지: CaCo : 2022 IEEE TPAMI
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recongition
2023.09.06
발표자: 장현민
발표일자: 2023-09-06
저자: Yifan Zhang, Brryan Hooi, Lanqing Hong, Jiashi Feng
학회명: NeurIPS 2022

Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
2023.09.06
발표자: 임지영
발표일자: 2023-09-06
학회명: NeurIPS 2022

SCOTT: Self-Consistent Chain-of-Thought Distillation
2023.08.23
발표자: 나철원
발표일자: 2023-08-23
저자: Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
학회명: ACL 2023

DualCoop: Fast Adaptation to Multi-Label Recognition with Limited Annotations
2023.08.23
발표자: 송경렬
발표일자: 2023-08-23
저자: Ximeng Sun1 Ping Hu1 Kate Saenko1,2
학회명: Neurlips 2022
논문지: Neurlips 2022

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly-Supervised Semantic Segmentation
2023.08.23
발표자: 최준수
발표일자: 2023-08-23
저자: Yuqi Lin, Minghao Chen et al.
학회명: CVPR 2023
논문지: CVPR 2023
Adabin : Improving binary neural networks with adaptive binary sets
2023.08.09
발표자: 김도영
발표일자: 2023-08-09
저자: Zhijun Tu, Xinghao Chen, Pengju Ren, and Yunhe Wang
학회명: ECCV 2022

Over-Training with Mixup May Hurt Generalization
2023.08.09
발표자: 안재한
발표일자: 2023-08-09
저자: Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao
학회명: ICLR 2023

Style Normalization and Restitution for Domain Generalization and Adaptation
2023.08.01
발표자: 김영재
발표일자: 2023-08-02
저자: Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen
학회명: CVPR 2020

SSR_An Efficient and Robust Framework for Learning with Unknown Label Noise
2023.08.02
발표자: 이진섭
발표일자: 2023-08-02
저자: Chen Feng, Georgios Tzimiropoulos, Ioannis Patras
학회명: BMVC 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
2023.08.02
발표자: 강용훈
발표일자: 2023-08-02
저자: Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
학회명: AAAI 2023