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• Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation

  An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu

  11586-11594

  2026-03-14

• Deep Partial Rank Aggregation for Personalized Attributes

  Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

  678-688

  2021-05-18

• Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines

  Liat Cohen, Gera Weiss

  7809-7815

  2019-07-17

• Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector

  Yan-Ya Zhang, Ming Li

  5813-5820

  2019-07-17

• Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

  Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha

  7474-7482

  2021-05-18

• Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network

  Jong-Yeong Kim, Dong-Wan Choi

  8137-8145

  2021-05-18

• Lipschitz Lifelong Reinforcement Learning

  Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

  8270-8278

  2021-05-18

• I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning

  Carina Geldhauser, Andreas Daniel Matt, Christian Stussak

  12751-12757

  2022-06-28

• The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research

  John Kalantari, Heidi Nelson, Nicholas Chia

  437-445

  2020-04-03

• Relating the Structure of a Problem and Its Explanation

  Eugene C. Freuder

  9765-9769

  2019-07-17

• Weighting-based Variable Neighborhood Search for Optimal Camera Placement

  Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chu-Min Li, Weibo Lin, Fuda Ma

  12400-12408

  2021-05-18

• Learning to Pivot as a Smart Expert

  Tianhao Liu, Shanwen Pu, Dongdong Ge, Yinyu Ye

  8073-8081

  2024-03-24

• QAGait: Revisit Gait Recognition from a Quality Perspective

  Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu

  5785-5793

  2024-03-24

• Disentangled Partial Label Learning

  Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

  11007-11015

  2024-03-24

• Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning

  Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin

  22614-22622

  2025-04-11

• The Fairness Fair: Bringing Human Perception into Collective Decision-Making

  Hadi Hosseini

  22624-22631

  2024-03-24

• Testing Self-Reducible Samplers

  Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen

  7952-7960

  2024-03-24

• Noisy Correspondence Rectification via Asymmetric Similarity Learning

  Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen

  21384-21392

  2025-04-11

• Calorie Estimation in a Real-World Recipe Service

  Jun Harashima, Makoto Hiramatsu, Satoshi Sanjo

  13306-13313

  2020-04-03

• Contrastive Functional Principal Component Analysis

  Eric Zhang, Didong Li

  22380-22388

  2025-04-11

• GNN-Retro: Retrosynthetic Planning with Graph Neural Networks

  Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

  4014-4021

  2022-06-28

• From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

  Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng

  4109-4119

  2022-06-28

• Extension Removal in Abstract Argumentation – An Axiomatic Approach

  Ringo Baumann, Gerhard Brewka

  2670-2677

  2019-07-17

• Partial Wasserstein Covering

  Keisuke Kawano, Satoshi Koide, Keisuke Otaki

  7115-7123

  2022-06-28

• ML-LOO: Detecting Adversarial Examples with Feature Attribution

  Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh, Jane-Ling Wang, Michael Jordan

  6639-6647

  2020-04-03