Pablo Zinemanas, Ignacio Hounie, Pablo Cancela and

Frederic Font, Martín Rocamora, Xavier Serra

Keywords Abstract Paper

Ian Osband, Yotam Doron, Matteo Hessel and

John Aslanides, Eren Sezener, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepesvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, Hado Van Hasselt

Keywords Abstract Paper

reinforcement learning, benchmark, core issues, scalability, reproducibility

Suilan Estevez-Velarde, Alejandro Piad-Morffis, Yoan Gutiérrez and

Andres Montoyo, Rafael Muñoz-Guillena, Yudivián Almeida Cruz

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Mahtab Tamannaee, Negar Arabzadeh, Ebrahim Bagheri

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trec-eval, information retrieval

Jacek Grycza, Damian Horna, Hanna Klimczak and

Mateusz Lango, Kamil Pluciński, Jerzy Stefanowski

Keywords Abstract Paper

imbalanced data, multi-class ensembles, re-sampling

Chia-Yu Li, Daniel Ortega, Dirk Väth and

Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu

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Multi-modal Agents, emotion recognition, engagement prediction, machine researchers

Zaiqiao Meng, Richard McCreadie, Craig Macdonald and

Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang

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Recommender Systems, Open-source, Toolkit, Framework

Frank F. Xu, Zhengbao Jiang, Pengcheng Yin and

Bogdan Vasilescu, Graham Neubig

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Open-domain generation, NL-to-code generation, data augmentation, retrieval-based re-sampling

Dmytro Borysenko, Dmytro Mykheievskyi, Viktor Porokhonskyy

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Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell and

Christos Kaplanis, David Barrett, Marta Garnelo

Keywords Abstract Paper

Deep Learning - General

Taebum Kim, Eunji Jeong, Geon-Woo Kim and

Yunmo Koo, Sehoon Kim, Gyeongin Yu, Byung-Gon Chun

Keywords Abstract Paper

deep learning, machine learning, graph learning

Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang

Keywords Abstract Paper

deep learning, adversarial robustness and security, interpretability

Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi

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Representation Learning

Jürgen Cito, Jiasi Shen, Martin Rinard

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Danielle Gonzalez, Thomas Zimmermann, Nachiappan Nagappan

Keywords Abstract Paper

machine learning, mining software repositories, GitHub, software engineering, artificial intelligence, Open Source

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori and

Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

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Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han

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Zhonghua Wu, Qingyi Tao, Guosheng Lin, Jianfei Cai

Keywords Abstract Paper

weakly supervised detection, webly supervised detection, object detection, domain adaptation, class activation mapping

Haiyong Jiang, Feilong Yan, Jianfei Cai and

Jianmin Zheng, Jun Xiao

Keywords Abstract Paper

3d instance segmentation, stable matching, point cloud, label assignment

Ruichu Cai, Zhihao Liang, Boyan Xu and

zijian li, Yuexing Hao, Yao Chen

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Code Generation, code task, adaptive code, TAG

Zihang Meng, Sathya N. Ravi, Vikas Singh

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Lingjing Wang, Xiang Li, Yi Fang

Keywords Abstract Paper

few-shot learning, 3d shape segmentation, shape deformation

Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu

Keywords Abstract Paper

auto-augmentation framework, point cloud processing, sample-aware, jointly optimizing, classification

David Schindler, Benjamin Zapilko, Frank Krüger

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Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li

Keywords Abstract Paper

Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta and

Jitendra Malik, Russ Salakhutdinov

Keywords Abstract Paper

reinforcement learning and planning, self-supervised learning, vision, active learning

Adam Roberts, Colin Raffel, Noam Shazeer

Keywords Abstract Paper

fine-tuning models, neural models, open-domain systems, model size

Qinxuan Luo, Lingfeng Wang, Jingguo Lv and

Shiming Xiang, Chunhong Pan

Keywords Abstract Paper

Sung Whan Yoon, Jun Seo, Doyeon Kim, Jaekyun Moon

Keywords Abstract Paper

Transfer, Multitask and Meta-learning

Xiaogang Wang, Yuelang Xu, Kevin Xu and

Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

Keywords Abstract Paper

Theory -> Game Theory and Computational Economics, Applications -> Fairness, Accountability, and Transparency

Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna and

Onay Urfalioglu, Alois C. Knoll

Keywords Abstract Paper

domain adaptation, semantic segmentation, autonomous driving, image-to-image translation, unsupervised learning, domain transfer, scene understanding, urban scene segmentation

Peng Qi, Yuhao Zhang, Yuhui Zhang and

Jason Bolton, Christopher D. Manning

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text analysis, tokenization, lemmatization, part-of-speech tagging

Yu Lin, Yigong Wang, Yi-Fan Li and

Zhuoyi Wang, Yang Gao, Latifur Khan

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Xianghui Yang, Bairun Wang, Xinchi Zhou and

Kaige Chen, Shuai Yi, Wanli Ouyang, Luping Zhou

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Few-shot Semantic Segmentation, Few-shot learning, Semantic Segmentation

Yuhuai Wu, Markus Rabe, Wenda Li and

Jimmy Ba, Roger Grosse, Christian Szegedy

Keywords Abstract Paper

Deep Learning

Efthymia Tsamoura, Timothy Hospedales, Loizos Michael

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Pengyu Nie, Marinela Parovic, Zhiqiang Zang and

Sarfraz Khurshid, Aleksandar Milicevic, Milos Gligoric

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Imperative generators, declarative specifications, Deuterium

Tarfah Alrashed, Jumana Almahmoud, Amy Zhang, David Karger

Keywords Abstract Paper

web apis, api description language, web scraping

Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt

Keywords Abstract Paper

machine learning, self-supervised learning

Han Peng, Ge Li, Wenhan Wang and

YunFei Zhao, Zhi Jin

Keywords Abstract Paper

machine learning, transformers