Mattia Samory, Indira Sen, Julian Kohne and

Fabian Flöck, Claudia Wagner

Keywords Abstract Paper

Psychological, personality-based and ethnographic studies of social media, Qualitative and quantitative studies of social media, Subjectivity in textual data, sentiment analysis, polarity/opinion identification and extraction, linguistic analyses of social

Emily Dinan, Angela Fan, Ledell Wu and

Jason Weston, Douwe Kiela, Adina Williams

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detecting bias, machine models, nlp models, fine-grained framework

Kristy Choi, Aditya Grover, Trisha Singh and

Rui Shu, Stefano Ermon

Keywords Abstract Paper

Deep Learning - Generative Models and Autoencoders

Ella Guest, Bertie Vidgen, Alexandros Mittos and

Nishanth Sastry, Gareth Tyson, Helen Margetts

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Naeemul Hassan, Amrit Poudel, Jason Hale and

Claire Hubacek, Khandaker Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed

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contexts, metoo movement, movements, violence

Ricky Fajri, Samaneh Khoshrou, Robert Peharz, Mykola Pechenizkiy

Keywords Abstract Paper

batch-mode active learning, imbalance data, hate-speech recognition

Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik

Keywords Abstract Paper

Haoqing Wang, Zhi-Hong Deng

Keywords Abstract Paper

Computer Vision, Recognition, Adversarial Machine Learning, Deep Learning

Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

Keywords Abstract Paper

Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman

Keywords Abstract Paper

nlp tasks, pretrained models, masked models, mlms

Bowen Hao, Jing Zhang, Cuiping Li and

Hong Chen, Hongzhi Yin

Keywords Abstract Paper

Mi Luo, Fei Chen, Dapeng Hu and

Yifan Zhang, Jian Liang, Jiashi Feng

Keywords Abstract Paper

optimization, machine learning, federated learning

Nisan Stiennon, Long Ouyang, Jeffrey Wu and

Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul Christiano

Keywords Abstract Paper

Akash Gautam, Puneet Mathur, Rakesh Gosangi and

Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah

Keywords Abstract Paper

accounts, cases, collection, hate speech, linguistic, linguistic aspects, metoo movement, movements, spaces, stance, terms, tweets

Guoxiu He, Yangyang Kang, Zhuoren Jiang and

Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu

Keywords Abstract Paper

nature language understanding, neural networks, long text, reading behavior, user modeling

Hannah Rose Kirk, yennie jun, Filippo Volpin and

Haider Iqbal, Elias Benussi, Frederic Dreyer, Aleksandar Shtedritski, Yuki Asano

Keywords Abstract Paper

language

Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

Keywords Abstract Paper

Algorithms, Unsupervised Learning

Taeuk Jang, Feng Zheng, Xiaoqian Wang

Keywords Abstract Paper

Fa-Ting Hong, Wei-Hong Li, Wei-Shi Zheng

Keywords Abstract Paper

important people detection, semi-supervised, pseudo-labelling imbalance problem, pseudo-label estimation, noisy unlabelled image

Zibo Lin, Deng Cai, Yan Wang and

Xiaojiang Liu, Haitao Zheng, Shuming Shi

Keywords Abstract Paper

response selection, retrieval-based systems, learning-to-rank problem, learning-to-rank

Paul Liang, Chiyu Wu, Louis-Philippe Morency, Russ Salakhutdinov

Keywords Abstract Paper

Social Aspects of Machine Learning, Fairness, Accountability, and Transparency

Ting Jiang, Deqing Wang, Leilei Sun and

Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang

Keywords Abstract Paper

Bingcong Li, Bo Han, Zhuowei Wang and

Jing Jiang, Guodong Long

Keywords Abstract Paper

large-class few-shot classification, meta-learning, confusion matrix

Yuzhe Yang, Zhi Xu

Keywords Abstract Paper

Theory -> Hardness of Learning and Approximations; Theory -> Large Deviations and Asymptotic Analysis; Theory -> Learning Theor, Theory -> Information Theory

Jaehyung Kim, Jongheon Jeong, Jinwoo Shin

Keywords Abstract Paper

class imbalance, imbalanced learning, long-tailed recognition, real-world data, over-sampling, minority oversampling, resampling, class translation, adversarial examples, tail-class generalization

Byeong-Ju Han, Kuhyeun Ko, Jae-Young Sim

Keywords Abstract Paper

person search, person detection, person re-identification, context-aware

Taewon Jeong, Heeyoung Kim

Keywords Abstract Paper

Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum and

Edith V. Sullivan, Li Fei-Fei, Juan Carlos Niebles, Kilian M. Pohl

Keywords Abstract Paper

Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A Rundensteiner

Keywords Abstract Paper

Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya and

James Foulds, Yangqiu Song, Shimei Pan

Keywords Abstract Paper

Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health

Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

Keywords Abstract Paper

model comparison

Yang Gao, Yi-Fan Li, Yu Lin and

Charu Aggarwal, Latifur Khan

Keywords Abstract Paper

real-world problems, sentiment classification, ir, machine methods

Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis and

Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky

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fairness, bias mitigation, recognition, domain shift, adversarial training

Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon and

Minho Jin, Tomas Pfister

Keywords Abstract Paper

self-supervised learning, deep one-class classification

Jiahuan Zhou, Bing Su, Ying Wu

Keywords Abstract Paper

person re-identification, online learning, instance metric adaptation, frequent pattern mining, unsupervised learning, theoretical analysis

Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein

Keywords Abstract Paper

strategic knowledge, downstream task, multilingual applications, natural tasks

Sharon Zhou, Eric Zelikman, Fred Lu and

Andrew Ng, Gunnar E Carlsson, Stefano Ermon

Keywords Abstract Paper

generative models, disentanglement, evaluation

Kai Shu, Guoqing Zheng, Yichuan Li and

Subhabrata Mukherjee, Ahmed Hassan Awadallah, Scott Ruston, Huan Liu

Keywords Abstract Paper

fake news, weak social supervision, meta learning

Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt and

Andrea Vedaldi, Andrew Zisserman

Keywords Abstract Paper

deep learning, classification, novel classes, transfer learning, clustering, incremental learning

Sheng Liang, Philipp Dufter, Hinrich Schütze

Keywords Abstract Paper