Disi Ji, Robert L. Logan, Padhraic Smyth, Mark Steyvers

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Qiujiang Jin, Aryan Mokhtari

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optimization

Kaili Wang, Jose Oramas, Tinne Tuytelaars

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Yuanen Zhou, Meng Wang, Daqing Liu and

Zhenzhen Hu, Hanwang Zhang

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grounded image captioning, image-text matching, visual grounding, cross-task knowledge distillation

Gellért Weisz, Tor Lattimore, Csaba Szepesvari

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Reinforcement Learning - Theory

Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon

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Qilong Han, Dan Lu, Rui Chen

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Machine Learning, Time-series; Data Streams

Silviu Pitis, Elliot Creager, Animesh Garg

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Yuxuan Zhang, Wenzheng Chen, Huan Ling and

Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

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GANs, inverse graphics, Differentiable rendering

Yaqian Dun, Kefei Tu, Chen Chen and

Chunyan Hou, Xiaojie Yuan

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Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh R Ravindrakumar

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Olivier Jeunen, Jan Van Balen, Bart Goethals

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side-information, Ridge regression, item metadata

Arianna Yuan, Yang Li

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performance modeling, deep learning, scannability, convolutional neural network, webpage, visual attention

Ethan Wilcox, Peng Qian, Richard Futrell and

Ryosuke Kohita, Roger Levy, Miguel Ballesteros

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learning outcomes, syntactic representations, neural models, n-gram baseline

Rexhina Blloshmi, Rocco Tripodi, Roberto Navigli

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encoding semantics, cross-lingual parsing, english parsing, amr

Chen Li, Gim Hee Lee

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3d human pose, multiple hypotheses, weak supervision, generative model

Andrew Wilson, Pavel Izmailov

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Sayna Ebrahimi, Suzanne Petryk, Akash Gokul and

William Gan, Joseph E Gonzalez, Marcus Rohrbach, trevor darrell

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Explainability, Catastrophic Forgetting, Continual Learning, XAI, Lifelong Learning

Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi and

Harsh Satija, Doina Precup

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Reinforcement Learning and Planning

Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani and

Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace

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NLP, Evaluating Reasoning, ERASER, Rationalized Models

Houshuang Chen, zengfeng Huang, Shuai Li, Chihao Zhang

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graph learning, bandits, online learning

Thomas Holterbach, Tobias Bühler, Tino Rellstab, Laurent Vanbever

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Network Design Principles, Internet Routing, Network Protocols, Teaching Internet

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

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model functionality stealing, adversarial machine learning

Anant Raj, Cameron Musco, Lester Mackey

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Brian Brubach, Darshan Chakrabarti, John Dickerson and

Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas

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Unsupervised and Semi-Supervised Learning

Radu Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx

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Optimization, Convex Optimization

Bo Pang, Tian Han, Erik Nijkamp and

Song-Chun Zhu, Ying Nian Wu

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Algorithms -> Active Learning; Theory -> Computational Complexity, Algorithms

Soumyadip Ghosh, Mark Squillante, Ebisa Wollega

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optimization, machine learning

Aishwarya Sivaraman, Golnoosh Farnadi, Todd Millstein, Guy Van den Broeck

Keywords Abstract Paper

Chengxu Zhuang, Tianwei She, Alex Andonian and

Max Sobol Mark, Daniel Yamins

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unsupervised learning, self-supervised learning, video learning, contrastive learning, deep neural networks, action recognition, object recognition, two-pathway models

Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni

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Xinyun Chen, Lu Wang, Yizhe Hang and

Heng Ge, Hongyuan Zha

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off-policy policy evaluation, multiple importance sampling, kernel method, variance reduction

Yalong Yang, Kim Marriott, Matthew Butler and

Cagatay Goncu, Leona Holloway

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accessibility, blindness, vision impairment, graphvisualization, adjacency matrix

Hao Peng, Nikolaos Pappas, Dani Yogatama and

Roy Schwartz, Noah Smith, Lingpeng Kong

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machine translation, transformers, language modeling, Attention

Sangyeon Kim, Omer F. Yalcin, Samuel E. Bestvater and

Kevin Munger, Burt L. Monroe, Bruce A. Desmarais

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attention, health, interventions, misinformation, spread, vaccination, youtube

Yeming Wen, Ghassen Jerfel, Rafael Müller and

Michael W Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran

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Uncertainty estimates, Ensembles, Calibration

Kai Ploeger, Michael Lutter, Jan Peters

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Amartya Sanyal, Puneet Dokania, Varun Kanade, Philip Torr

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generalization, memorization, benign overfitting, adversarial robustness

Junwen Yao, Jonas Mueller, Jane-Ling Wang

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Deep Learning

Menglong Yang, Fangrui Wu, Wei Li

Keywords Abstract Paper

stereo matching, wavelet coefficients, inverse wavelet transform, supervised learning, deep representation, multi-scale features, multi-resolution cost volume, wavelet regression, disparity reconstruction, disparity refinement