NABARUN DEB, Promit Ghosal, Bodhisattva Sen

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machine learning, optimal transport

Shoulong Zhang, shuai li, Aimin Hao, Hong Qin

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deep learning, graph learning

Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco

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Possession Existence, Duration, Co-Possession, duration relations

Wei Song, Kai Zhang, Ruiji Fu and

Lizhen Liu, Ting Liu, Miaomiao Cheng

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supervised fine-tuning, pre-training method, weakly pre-training, essay scorer

Michal Lukasik, Boris Dadachev, Kishore Papineni, Gonçalo Simões

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document segmentation, nlp tasks, downstream tasks, information retrieval

Pengzhou Wu, Kenji Fukumizu

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Randy Ardywibowo, Shahin Boluki, Xinyu Gong and

Zhangyang Wang, Xiaoning Qian

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Trustworthy Machine Learning

Xiaodong Liu, Yu Wang, Jianshu Ji and

Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao

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Natural Understanding, NLU tasks, classification, regression

Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky and

Anand Rajagopalan, Mohammad Mahdian, Yossi Azar

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Yihao Lv, Youzhi Gu, Liu Xinggao

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Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm

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Theory, Game Theory and Computational Economics

Nico Herbig, Santanu Pal, Tim Düwel and

Kalliopi Meladaki, Mahsa Monshizadeh, Vladislav Hnatovskiy, Antonio Krüger, Josef van Genabith

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Post-Editing Translation, Post-Editing , translation, PE MT

David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool

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multi task, neural architecture search, resource efficient networks, dense prediction, encoder branching, proxyless resource loss, differentiable search space, branched networks, tree-like networks, Gumbel-Softmax

Soumya Barathi, Michael Proulx, Eamonn O'Neill, Christof Lutteroth

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vr exergaming, affect recognition, psychophysiological correlates, high intensity exercise

Tao Meng, Kai-Wei Chang

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Algorithms, Structured Prediction

Dario Guidotti

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AI Ethics, Trust, Fairness, Trustable Learning, Validation and Verification, Deep Learning, Adversarial Machine Learning

Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey and

Motoya Ohnishi, Wen Sun

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Rui Liu, Alex Olshevsky

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Theory, RL, Decisions and Control Theory

Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu

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Reinforcement Learning - Deep RL

Tao Han, Junyu Gao, Yuan Yuan, Qi Wang

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Reshef Meir, Jérôme Lang, Julien Lesca and

Nicholas Mattei, Natan Kaminsky

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Shaofeng Cai, Yao Shu, Wei Wang

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Michał T. Godziszewski, Paweł Batko, Piotr Skowron, Piotr Faliszewski

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Kaiyi Ji, Jason Lee, Yingbin Liang, H. Vincent Poor

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Fan-Yun Sun, Jordan Hoffman, Vikas Verma, Jian Tang

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graph-level representation learning, mutual information maximization

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

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Kaan Genç, Michael D. Bond, Guoqing Harry Xu

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transactional memory, persistent transactions

Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

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Source Summarization, summarization, ablation studies, Transformer-based Approach

Senthil Purushwalkam, Abhinav Gupta

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Amin Parvaneh, Ehsan Abbasnejad, Damien Teney and

Javen Qinfeng Shi, Anton van den Hengel

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Hachem Kadri, Stephane Ayache, Riikka Huusari and

alain rakotomamonjy, Ralaivola Liva

Keywords Abstract Paper

General Machine Learning Techniques

El Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui and

Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault

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Mao Li, Yingyi Ma, Xinhua Zhang

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Ahmed Shehab Khan, Zhiyuan Li, Jie Cai, Yan Tong

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Hossein Hosseini, Hyunsin Park, Sungrack Yun and

Christos Louizos, Joseph B Soriaga, Max Welling

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Algorithms

Bolun Wang, Teseo Schneider, Yixin Hu and

Marco Attene, Daniele Panozzo

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shape proximity, robust geometric computation, geometric predicates

Raúl Vázquez, Mikko Aulamo, Umut Sulubacak, Jörg Tiedemann

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Danielle Saunders, Rosie Sallis, Bill Byrne

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Xiangpeng Wei, Heng Yu, Yue Hu and

Yue Zhang, Rongxiang Weng, Weihua Luo

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Neural Translation, training models, IWSLT tasks, WMT14 task

Tamas Erdelyi, Cameron Musco, Christopher Musco

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