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AAAI Conference on Artificial Intelligence · 会议 · Artificial Intelligence

共收录 9572
2101.12204 2021-03-04 cs.LG cs.IT cs.MA math.IT stat.ML

Federated Multi-Armed Bandits

Chengshuai Shi, Cong Shen

Comments AAAI 2021, Camera Ready. Code is available at: https://github.com/ShenGroup/FMAB

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2012.10923 2021-03-04 cs.LG cs.AI stat.ML

Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration

Christian Tomani, Florian Buettner

Comments In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021). Code available at https://github.com/tochris/falcon

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2012.06651 2021-03-04 cs.AI cs.LO

Epistemic Logic of Know-Who

Sophia Epstein, Pavel Naumov

Comments To appear in Proceedings of 35th AAAI Conference on Artificial Intelligence (AAAI 21), February 2-9, 2021

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2007.03848 2021-03-04 cs.CV cs.CL

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers

Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian

Comments Accepted at AAAI 2021

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2002.06299 2021-03-04 cs.LG stat.ML

Loop Estimator for Discounted Values in Markov Reward Processes

Falcon Z. Dai, Matthew R. Walter

Comments accepted to AAAI 2021

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2103.01867 2021-03-03 cs.CL cs.AI cs.CV

Dual Reinforcement-Based Specification Generation for Image De-Rendering

Ramakanth Pasunuru, David Rosenberg, Gideon Mann, Mohit Bansal

Comments AAAI 2021 Scientific Document Understanding Workshop (9 pages)

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2103.01863 2021-03-03 cs.CL cs.AI

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization

Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao

Comments AAAI 2021 (13 pages)

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2103.01670 2021-03-03 q-fin.TR cs.CE cs.NE q-fin.ST

The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network

Zijian Shi, Yu Chen, John Cartlidge

Comments 12 pages, preprint accepted for publication in the 35th AAAI Conference on Artificial Intelligence (AAAI-2021)

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2103.01461 2021-03-03 eess.AS cs.AI cs.LG cs.SD eess.SP

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect

Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

Comments Accepted in AAAI 2021

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2101.09723 2021-03-03 cs.AI cs.MA

Improving Continuous-time Conflict Based Search

Anton Andreychuk, Konstantin Yakovlev, Eli Boyarski, Roni Stern

Comments This is a pre-print of the paper accepted to AAAI 2021

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2012.06561 2021-03-03 cs.AI cs.CL cs.LO

Comprehension and Knowledge

Pavel Naumov, Kevin Ros

Comments To appear in Proceedings 35th AAAI Conference on Artificial Intelligence (AAAI 21), February 2-9, 2021

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2002.08165 2021-03-03 cs.LG stat.ML

Using Hindsight to Anchor Past Knowledge in Continual Learning

Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip Torr, David Lopez-Paz

Comments Accepted at AAAI 2021

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1911.00786 2021-03-03 cs.AI cs.GT cs.LO

Ethical Dilemmas in Strategic Games

Pavel Naumov, Rui-Jie Yew

Comments Proceedings of 35th AAAI Conference on Artificial Intelligence (AAAI 21), February 2-9, 2021

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2103.01096 2021-03-02 cs.LG

Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms

Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada

Comments Accepted to AAAI 2021

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2103.00958 2021-03-02 cs.LG

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

Comments Accepted by AAAI 2021, 46 pages, 7 figs

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2103.00667 2021-03-02 math.OC

Smooth Convex Optimization using Sub-Zeroth-Order Oracles

Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu

Comments Extended version of the accepted paper in the 35th AAAI Conference on Artificial Intelligence 2021. 19 pages including supplementary material

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2101.09763 2021-03-02 cs.LG cs.CL stat.ML

Analysing the Noise Model Error for Realistic Noisy Label Data

Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

Comments Accepted at AAAI 2021, additional material at https://github.com/uds-lsv/noise-estimation

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2012.10013 2021-03-02 cs.CV

Flow-based Generative Models for Learning Manifold to Manifold Mappings

Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

Comments This paper has been accepted by AAAI 2021. A video introduction is on YouTube: https://youtu.be/0r96U0vXsCM The official GitHub repo is: https://github.com/zhenxingjian/Dual_Manifold_GLOW

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2011.05824 2021-03-02 cs.LG cs.AI stat.ML

Semi-Structured Deep Piecewise Exponential Models

Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer

Comments 8 pages, 3 figures, Accepted at the AAAI spring symposium: Survival Prediction

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2009.07641 2021-03-02 cs.CV

BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation

Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan

Comments Accepted by AAAI 2021. Ranked 1st place in the CVPR19 - ActivityNet Challenge leaderboard on Temporal Action Localization task. arXiv admin note: substantial text overlap with arXiv:2007.09883

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2006.06147 2021-03-02 cs.LG stat.ML

Implicit Kernel Attention

Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

Comments AAAI-21

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2003.05980 2021-03-02 cs.CY cs.LG stat.AP

Educational Question Mining At Scale: Prediction, Analysis and Personalization

Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jose Miguel Hernandez-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang

Comments Accepted at AAAI-EAAI 2021

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2002.08517 2021-03-02 cs.LG stat.ML

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks

Russell Tsuchida, Tim Pearce, Chris van der Heide, Fred Roosta, Marcus Gallagher

Comments AAAI camera ready version. 18 pages, 9 figures, 2 tables. Corrected name particle capitalisation and formatting

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2103.00391 2021-03-02 cs.GT

Fair and Efficient Allocations with Limited Demands

Sushirdeep Narayana, Ian A. Kash

Comments Presented as a Conference Paper at AAAI 2021

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2012.08383 2021-03-02 cs.CL cs.AI

Keyword-Guided Neural Conversational Model

Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao

Comments AAAI-2021

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2012.08377 2021-03-02 cs.CL cs.AI

CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts

Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao

Comments AAAI-2021

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2009.10990 2021-03-02 cs.CY cs.LG stat.ML

Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans

Rohun Kshirsagar, Li-Yen Hsu, Vatshank Chaturvedi, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Renzo Frigato, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Arnold Lee, Miguel Alvarado

Comments Accepted for publication in The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), in the Innovative Applications of Artificial Intelligence track. This is the extended version with some stylistic fixes from the first posting and complete author list

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2007.04640 2021-03-02 cs.LG stat.ML

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli

Comments In 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

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2006.08661 2021-03-02 cs.CV

Predicting Livelihood Indicators from Community-Generated Street-Level Imagery

Jihyeon Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David Lobell, Stefano Ermon

Comments Accepted to AAAI 2021. Code: https://github.com/sustainlab-group/mapillarygcn

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2007.10567 2021-03-01 cs.LG stat.ML

How Does Data Augmentation Affect Privacy in Machine Learning?

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

Comments AAAI Conference on Artificial Intelligence (AAAI-21). Source code available at: https://github.com/dayu11/MI_with_DA

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