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• IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

  Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim

  13104-13112

  2024-03-24

• Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

  Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song

  14044-14051

  2024-03-24

• Deep Learning from Crowds

  Filipe Rodrigues, Francisco Pereira

  2018-04-25

• Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization

  Zeel B Patel, Vinayak Rana, Nipun Batra

  39098-39105

  2026-03-14

• A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data

  Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan

  2018-04-25

• Confidence-Aware Matrix Factorization for Recommender Systems

  Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

  2018-04-25

• EPOC: Efficient Perception via Optimal Communication

  Masoumeh Heidari Kapourchali, Bonny Banerjee

  4107-4114

  2020-04-03

• Domain Invariant Learning for Gaussian Processes and Bayesian Exploration

  Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

  17024-17032

  2024-03-24

• Repetitive Reprediction Deep Decipher for Semi-Supervised Learning

  Guo-Hua Wang, Jianxin Wu

  6170-6177

  2020-04-03

• Community Preserving Network Embedding

  Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

  2017-02-10

• Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators

  Daniel Geschwender, Robert Woodward, Berthe Choueiry

  2015-03-04

• Mining User Interests from Personal Photos

  Pengtao Xie, Yulong Pei, Yuan Xie, Eric Xing

  2015-02-18

• Echo-State Conditional Restricted Boltzmann Machines

  Sotirios Chatzis

  2014-06-21

• Smooth Optimization for Effective Multiple Kernel Learning

  Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael Lyu, Irwin King

  637-642

  2010-07-03

• Compact Autoregressive Network

  Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian

  6145-6152

  2020-04-03

• Revisiting Bilinear Pooling: A Coding Perspective

  Zhi Gao, Yuwei Wu, Xiaoxun Zhang, Jindou Dai, Yunde Jia, Mehrtash Harandi

  3954-3961

  2020-04-03

• Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging

  Lujun Li, Qiyuan Zhu, Jiacheng Wang, Xiaoyu Qin, Wei Li, Hao Gu, Sirui Han, Yike Guo

  22994-23002

  2026-03-14

• On the Relationship Between Monotone and Squared Probabilistic Circuits

  Benjie Wang, Guy Van den Broeck

  21026-21034

  2025-04-11

• Pareto Set Learning for Multi-Objective Reinforcement Learning

  Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian

  18789-18797

  2025-04-11

• SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute

  Bowen Shen, Yuyue Chen, Peng Yang, Bin Zhang, Xi Zhang, Zoe L. Jiang

  25286-25294

  2026-03-14

• Robust Self-Weighted Multi-View Projection Clustering

  Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, Dingyi Fang

  6110-6117

  2020-04-03

• OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion

  Shangqi Deng, Jun Ma, Liang-Jian Deng, Ping Wei

  2708-2716

  2025-04-11

• Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing

  Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

  12376-12384

  2024-03-24

• Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age

  Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K. L. Wong

  9522-9527

  2019-07-17

• Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces

  Benjamin Doerr, Martin S. Krejca, Günter Rudolph

  26955-26963

  2025-04-11