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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 11050 items.
  • Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing

    Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill
    4740-4745
    2017-02-11
  • Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions

    Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin
    2018-04-29
  • KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints

    Sheng Yu, Di-Hua Zhai, Yuanqing Xia
    9653-9661
    2025-04-11
  • Building Trust in Deep Learning System towards Automated Disease Detection

    Zhan Wei Lim, Mong Li Lee, Wynne Hsu, Tien Yin Wong
    9516-9521
    2019-07-17
  • An SVD and Derivative Kernel Approach to Learning from Geometric Data

    Eric Wong, J. Zico Kolter
    2015-02-18
  • Bayesian Approach to Modeling and Detecting Communities in Signed Network

    Bo Yang, Xuehua Zhao, Xueyan Liu
    2015-02-18
  • Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis

    Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud
    39106-39115
    2026-03-14
  • Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems

    Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, Zhen Lin
    2014-06-19
  • Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment

    Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye
    7466-7473
    2021-05-18
  • Liquid Time-constant Networks

    Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu
    7657-7666
    2021-05-18
  • Optimizing Binary Decision Diagrams with MaxSAT for Classification

    Hao Hu, Marie-José Huguet, Mohamed Siala
    3767-3775
    2022-06-28
  • Using MaxSAT for Efficient Explanations of Tree Ensembles

    Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva
    3776-3785
    2022-06-28
  • Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking

    Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma
    7428-7436
    2025-04-11
  • Flexible Instance-Specific Rationalization of NLP Models

    George Chrysostomou, Nikolaos Aletras
    10545-10553
    2022-06-28
  • ReACT: Reward-informed Autoregressive Decision CAD Transformer

    Yijie Ding, Yang Liu, Haobo Jiang, Jianmin Zheng
    3614-3622
    2026-03-14
  • On Manipulating Weight Predictions in Signed Weighted Networks

    Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski
    5222-5229
    2023-06-26
  • Don’t Predict Counterfactual Values, Predict Expected Values Instead

    Jeremiasz Wołosiuk, Maciej Świechowski, Jacek Mańdziuk
    5303-5311
    2023-06-26
  • Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

    Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
    12331-12339
    2024-03-24
  • Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model

    Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory Wornell
    9772-9781
    2023-06-26
  • Domain Adaptation with Adversarial Training on Penultimate Activations

    Tao Sun, Cheng Lu, Haibin Ling
    9935-9943
    2023-06-26
  • SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next

    Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu
    6802-6809
    2019-07-17
  • Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax

    Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
    14347-14355
    2023-06-26
  • Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information

    Ruyuan Wan, Jaehyung Kim, Dongyeop Kang
    14523-14530
    2023-06-26
  • Logistic Regression on Homomorphic Encrypted Data at Scale

    Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, Daejun Park
    9466-9471
    2019-07-17
  • Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines

    Nicholas McCarthy, Mohammad Karzand, Freddy Lecue
    9541-9546
    2019-07-17
4476 - 4500 of 11050 items << < 175 176 177 178 179 180 181 182 183 184 > >> 

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