Gamaleldin Elsayed, Prajit Ramachandran, Jon Shlens, Simon Kornblith

Keywords Abstract Paper

Deep Learning - General

Shuichi Hirahara

Keywords Abstract Paper

(black-box) reductions, Kolmogorov complexity, pseudorandomness

Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang

Keywords Abstract Paper

Real-Time Answering, Open-domain answering, phrase problem, Contextualized Representations

Xiuwen Gong, Dong Yuan, Wei Bao

Keywords Abstract Paper

Machine Learning, Multi-instance; Multi-label; Multi-view learning

Haoming Jiang, Zhehui Chen, Yuyang Shi and

Bo Dai, Tuo Zhao

Keywords Abstract Paper

Zheng Ding, Yifan Xu, Weijian Xu and

Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu

Keywords Abstract Paper

variational autoencoder, disentanglement learning, representation learning

Tomasz Wąs, Oskar Skibski

Keywords Abstract Paper

Agent-based and Multi-agent Systems, Economic Paradigms, Auctions and Market-Based Systems, Networks

Joao Marques-Silva, Thomas Gerspacher, Martin Cooper and

Alexey Ignatiev, Nina Narodytska

Keywords Abstract Paper

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

Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer

Keywords Abstract Paper

Haolan Zhan, Hainan Zhang, Hongshen Chen and

Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

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Xiao Shi Huang, Felipe Perez, Jimmy Ba, Maksims Volkovs

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Sequential, Network, and Time-Series Modeling

Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla

Keywords Abstract Paper

Photometric Stereo, BRDF, Rendering

Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola

Keywords Abstract Paper

text tasks, filling snippets, style transfer, damaged restoration

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

Jonathan Cornford, Damjan Kalajdzievski, Marco Leite and

Amélie Lamarquette, Dimitri Kullmann, Blake A Richards

Keywords Abstract Paper

Taoran Ji, Nathan Self, Kaiqun Fu and

Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Keywords Abstract Paper

Xin Yuan, Yang Liu, Jinli Suo, Qionghai Dai

Keywords Abstract Paper

snapshot compressive image, plug-and-play, large-scale, video compressive sensing, convergence, coded aperture compresive temporal imaging (cacti), gap, admm, real data

Takeshi Teshima, Issei Sato, Masashi Sugiyama

Keywords Abstract Paper

Transfer, Multitask and Meta-learning

Chao Huang

Keywords Abstract Paper

Knowledge representation and reasoning, General

Maxwell Nye, Yewen Pu, Matthew Bowers and

Jacob Andreas, Joshua B Tenenbaum, Armando Solar-Lezama

Keywords Abstract Paper

abstract interpretation, program synthesis, representation learning, modular neural networks

Pengyu Nie, Marinela Parovic, Zhiqiang Zang and

Sarfraz Khurshid, Aleksandar Milicevic, Milos Gligoric

Keywords Abstract Paper

Imperative generators, declarative specifications, Deuterium

Yichen Qin, Linhan Yu, Yang Li

Keywords Abstract Paper

graph learning

Tawanna Dillahunt, Joey Chiao-Yin Hsiao

Keywords Abstract Paper

employment, theory of planned behavior, underrepresented job seekers

Junjie Huang, Huawei Shen, Xueqi Cheng

Keywords Abstract Paper

Studies of digital humanities (culture, history, arts) using social media, Human computer interaction, social media tools, navigation and visualization, Subjectivity in textual data, sentiment analysis, polarity/opinion identification and extraction, lingu

Jaelle Scheuerman, Jason Harman, Nicholas Mattei, K. Brent Venable

Keywords Abstract Paper

Jacek Komorowski

Keywords Abstract Paper

Hongchang Gao, An Xu, Heng Huang

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Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli

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Natural Language Processing, Natural Language Semantics, Resources and Evaluation

Jong-Chyi Su, Subhransu Maji

Keywords Abstract Paper

semi-supervised learning, taxonomy, hierarchical prediction, fine-grained classification, self-supervised learning, coarse labels

Nicholas Boffi, Stephen Tu, Nikolai Matni and

Jean-Jacques Slotine, Vikas Sindhwani

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Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki

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Yuval Filmus, Noam Lifshitz, Dor Minzer, Elchanan Mossel

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Property Testing, Analysis of Boolean Functions

Luo Luo, Haishan Ye, Zhichao Huang, Tong Zhang

Keywords Abstract Paper

Bingyi Kang, Yu Li, Sain Xie and

Zehuan Yuan, Jiashi Feng

Keywords Abstract Paper

Representation Learning, Contrastive Learning, Long-Tailed Recognition

Stefanos Stoikos, Mike Izbicki

Keywords Abstract Paper

Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

Keywords Abstract Paper

Emily M. Bender, Alexander Koller

Keywords Abstract Paper

NLP tasks, natural understanding, large models, NLU

Micah Goldblum, Liam Fowl, Renkun Ni and

Steven Reich, Valeriia Cherepanova, Tom Goldstein

Keywords Abstract Paper

Transfer, Multitask and Meta-learning

Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao

Keywords Abstract Paper

outline-conditioned generation, plotmachines, neural model, large-scale models

Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash

Keywords Abstract Paper

graph learning, causality