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• Splitting Answer Set Programs with Respect to Intensionality Statements

  Jorge Fandinno, Yuliya Lierler

  6338-6345

  2023-06-26

• Neurosymbolic Reasoning and Learning with Restricted Boltzmann Machines

  Son N. Tran, Artur d'Avila Garcez

  6558-6565

  2023-06-26

• Approximating Full Conformal Prediction at Scale via Influence Functions

  Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin

  6631-6639

  2023-06-26

• Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

  Lucas Berry, David Meger

  6806-6814

  2023-06-26

• Topological Pooling on Graphs

  Yuzhou Chen, Yulia R. Gel

  7096-7103

  2023-06-26

• Partial-Label Regression

  Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An

  7140-7147

  2023-06-26

• Model-Based Offline Reinforcement Learning with Local Misspecification

  Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

  7423-7431

  2023-06-26

• Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees

  Zhongxi Fang, Jianming Huang, Xun Su, Hiroyuki Kasai

  7539-7549

  2023-06-26

• Fast Counterfactual Inference for History-Based Reinforcement Learning

  Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen

  7613-7623

  2023-06-26

• Robust Causal Graph Representation Learning against Confounding Effects

  Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun

  7624-7632

  2023-06-26

• Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis

  Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

  7722-7730

  2023-06-26

• Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation

  Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin

  7811-7820

  2023-06-26

• Improving Long-Horizon Imitation through Instruction Prediction

  Joey Hejna, Pieter Abbeel, Lerrel Pinto

  7857-7865

  2023-06-26

• Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation

  Taehyun Hwang, Min-hwan Oh

  7971-7979

  2023-06-26

• Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features

  Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou

  8041-8049

  2023-06-26

• Robust Domain Adaptation for Machine Reading Comprehension

  Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

  8060-8069

  2023-06-26

• Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering

  Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu

  8141-8149

  2023-06-26

• Towards More Robust Interpretation via Local Gradient Alignment

  Sunghwan Joo, SeokHyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon

  8168-8176

  2023-06-26

• Variable-Based Calibration for Machine Learning Classifiers

  Markelle Kelly, Padhraic Smyth

  8211-8219

  2023-06-26

• Learning Topology-Specific Experts for Molecular Property Prediction

  Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

  8291-8299

  2023-06-26

• The Effect of Diversity in Meta-Learning

  Ramnath Kumar, Tristan Deleu, Yoshua Bengio

  8396-8404

  2023-06-26

• WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer

  Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj

  8421-8429

  2023-06-26

• VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

  Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng

  8605-8613

  2023-06-26

• A Coreset Learning Reality Check

  Fred Lu, Edward Raff, James Holt

  8940-8948

  2023-06-26

• Local Explanations for Reinforcement Learning

  Ronny Luss, Amit Dhurandhar, Miao Liu

  9002-9010

  2023-06-26