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• Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions

  Achim Hekler, Titus J. Brinker, Florian Buettner

  14856-14864

  2023-06-26

• Understanding and Enhancing Robustness of Concept-Based Models

  Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang

  15127-15135

  2023-06-26

• Enhancing Interpretability for Vision Models via Shapley Value Optimization

  Kanglong Fan, Yunqiao Yang, Chen Ma

  3786-3794

  2026-03-14

• Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

  Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

  8966-8974

  2024-03-24

• Collaborative Filtering With User-Item Co-Autoregressive Models

  Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang

  2018-04-26

• Toward Robust Uncertainty Estimation with Random Activation Functions

  Yana Stoyanova, Soroush Ghandi, Maryam Tavakol

  15152-15160

  2023-06-26

• Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition

  Siddharth Roheda, Hamid Krim

  11948-11956

  2020-04-03

• How Good Are Inducing Points for Dataset Distillation? (Student Abstract)

  Shrutimoy Das

  41177-41179

  2026-03-14

• Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

  Chacha Chen, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li

  3414-3421

  2020-04-03

• Deep Hierarchical Video Compression

  Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma

  8859-8867

  2024-03-24

• Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract)

  Yuxiang Xie, Hua Xu, Congcong Yang, Kai Gao

  13967-13968

  2020-04-03

• Towards an AI Course Based on Neural Networks

  Michael Wollowski

  29078-29086

  2025-04-11

• Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks

  Shuailong Liang, Olivia Nicol, Yue Zhang

  655-662

  2019-07-17

• Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks

  Chengyu Jiao, Siyin Huang, Yu Zhang

  31374-31382

  2026-03-14

• Why Do Attributes Propagate in Graph Convolutional Neural Networks?

  Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

  4590-4598

  2021-05-18

• GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks

  Bing Li, Wei Wang, Yifang Sun, Linhan Zhang, Muhammad Asif Ali, Yi Wang

  8172-8179

  2020-04-03

• Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter

  Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Bert-Jan F. van Beijnum, Peter H. Veltink

  10063-10064

  2019-07-17

• Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

  Fabio Pardo, Vitaly Levdik, Petar Kormushev

  5355-5362

  2020-04-03

• PTMQ: Post-training Multi-Bit Quantization of Neural Networks

  Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang

  16193-16201

  2024-03-24

• AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks

  Shifu Hou, Rick Johnson, Ramandeep Makhija, Lingwei Chen, Yanfang Ye

  24078-24085

  2025-04-11

• Deep Semantic Role Labeling With Self-Attention

  Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, Xiaodong Shi

  2018-04-26

• Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

  Jinyang Yuan, Bin Li, Xiangyang Xue

  9135-9142

  2019-07-17

• ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning

  Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan

  17461-17468

  2024-03-24

• Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

  Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B Davidson

  651-659

  2021-05-18

• Classification with Costly Features Using Deep Reinforcement Learning

  Jaromír Janisch, Tomáš Pevný, Viliam Lisý

  3959-3966

  2019-07-17