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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
  • Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets

    Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
    8584-8593
    2022-06-28
  • Continual Learning through Retrieval and Imagination

    Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao
    8594-8602
    2022-06-28
  • Max-Min Grouped Bandits

    Zhenlin Wang, Jonathan Scarlett
    8603-8611
    2022-06-28
  • Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

    Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li
    8612-8620
    2022-06-28
  • Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation

    Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yyuze Li
    8621-8628
    2022-06-28
  • Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics

    Sean Welleck, Peter West, Jize Cao, Yejin Choi
    8629-8637
    2022-06-28
  • Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks

    Tim Whitaker, Darrell Whitley
    8638-8646
    2022-06-28
  • PluGeN: Multi-Label Conditional Generation from Pre-trained Models

    Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafał Kurczab, Marek Smieja
    8647-8656
    2022-06-28
  • Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments

    Honguk Woo, Gwangpyo Yoo, Minjong Yoo
    8657-8665
    2022-06-28
  • An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation

    Honguk Woo, Hyunsung Lee, Sangwoo Cho
    8666-8674
    2022-06-28
  • PUMA: Performance Unchanged Model Augmentation for Training Data Removal

    Ga Wu, Masoud Hashemi, Christopher Srinivasa
    8675-8682
    2022-06-28
  • Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation

    Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li
    8683-8690
    2022-06-28
  • AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method

    Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel Ward
    8691-8699
    2022-06-28
  • Towards Off-Policy Learning for Ranking Policies with Logged Feedback

    Teng Xiao, Suhang Wang
    8700-8707
    2022-06-28
  • Active Learning for Domain Adaptation: An Energy-Based Approach

    Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang
    8708-8716
    2022-06-28
  • GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation

    Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An
    8717-8725
    2022-06-28
  • Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits

    Guojun Xiong, Jian Li, Rahul Singh
    8726-8734
    2022-06-28
  • Coordinating Momenta for Cross-Silo Federated Learning

    An Xu, Heng Huang
    8735-8743
    2022-06-28
  • Learning-Augmented Algorithms for Online Steiner Tree

    Chenyang Xu, Benjamin Moseley
    8744-8752
    2022-06-28
  • Constraints Penalized Q-learning for Safe Offline Reinforcement Learning

    Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
    8753-8760
    2022-06-28
  • Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity

    Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu
    8761-8769
    2022-06-28
  • Linearity-Aware Subspace Clustering

    Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian
    8770-8778
    2022-06-28
  • Go Wider Instead of Deeper

    Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You
    8779-8787
    2022-06-28
  • Seizing Critical Learning Periods in Federated Learning

    Gang Yan, Hao Wang, Jian Li
    8788-8796
    2022-06-28
  • Learning to Identify Top Elo Ratings: A Dueling Bandits Approach

    Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
    8797-8805
    2022-06-28
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