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• DiFA: Differentiable Feature Acquisition

  Aritra Ghosh, Andrew Lan

  7705-7713

  2023-06-26

• Better Generalized Few-Shot Learning Even without Base Data

  Seong-Woong Kim, Dong-Wan Choi

  8282-8290

  2023-06-26

• VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch

  Sawinder Kaur, Yi Xiao, Asif Salekin

  22899-22905

  2024-03-24

• Adaptive Graph Convolutional Neural Networks

  Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang

  2018-04-29

• Hypergraph Neural Networks

  Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

  3558-3565

  2019-07-17

• Feature Transportation Improves Graph Neural Networks

  Moshe Eliasof, Eldad Haber, Eran Treister

  11874-11882

  2024-03-24

• Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks

  He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi

  28203-28211

  2026-03-14

• Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks

  Giorgio Morales, John W. Sheppard

  19546-19553

  2025-04-11

• Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks

  Jingfen Xie, Jian Zhang

  2947-2955

  2023-06-26

• Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection

  Dongmei Han, Min Min, Yuchen Wang, Guoming Xu, Xiaofeng Zhou

  14792-14801

  2026-03-14

• Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks

  Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li, Pan Zhou

  18754-18762

  2025-04-11

• Fast Training of Provably Robust Neural Networks by SingleProp

  Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

  6803-6811

  2021-05-18

• Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks

  Patrick Schwab, Djordje Miladinovic, Walter Karlen

  4846-4853

  2019-07-17

• RRL: Regional Rotate Layer in Convolutional Neural Networks

  Zongbo Hao, Tao Zhang, Mingwang Chen, Zou Kaixu

  826-833

  2022-06-28

• Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis

  Elena Botoeva, Panagiotis Kouvaros, Jan Kronqvist, Alessio Lomuscio, Ruth Misener

  3291-3299

  2020-04-03

• Learning Production Functions for Supply Chains with Graph Neural Networks

  Serina Chang, Zhiyin Lin, Benjamin Yan, Swapnil Bembde, Qi Xiu, Chi Heem Wong, Yu Qin, Frank Kloster, Xi Luo, Raj Palleti, Jure Leskovec

  27878-27886

  2025-04-11

• Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

  Utku Evci, Yani Ioannou, Cem Keskin, Yann Dauphin

  6577-6586

  2022-06-28

• Toward Physically Realizable Quantum Neural Networks

  Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

  6902-6909

  2022-06-28

• Binding-Adaptive Diffusion Models for Structure-Based Drug Design

  Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang

  12671-12679

  2024-03-24

• HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling

  Zihang Shao, Wentao Lei, Lei Wang, Wen-Cai Ye, Li Liu

  980-987

  2026-03-14

• Ranking-Based Deep Cross-Modal Hashing

  Xuanwu Liu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Yazhou Ren, Maozu Guo

  4400-4407

  2019-07-17

• Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior

  Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John Paisley

  1586-1594

  2023-06-26

• Adversarial Deep Network Embedding for Cross-Network Node Classification

  Xiao Shen, Quanyu Dai, Fu-lai Chung, Wei Lu, Kup-Sze Choi

  2991-2999

  2020-04-03

• Radial and Directional Posteriors for Bayesian Deep Learning

  Changyong Oh, Kamil Adamczewski, Mijung Park

  5298-5305

  2020-04-03

• Combining Adversaries with Anti-adversaries in Training

  Xiaoling Zhou, Nan Yang, Ou Wu

  11435-11442

  2023-06-26