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• Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

  Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

  12363-12372

  2021-05-18

• LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning

  Fengyi Fu, Mengqi Huang, Lei Zhang, Zhendong Mao

  4003-4011

  2026-03-14

• RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving

  Peixuan Li, Shun Su, Huaici Zhao

  1930-1939

  2021-05-18

• Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation

  Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang

  2038-2046

  2021-05-18

• Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning

  Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang

  7848-7856

  2021-05-18

• Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging

  Li Yuan, Yi Cai, Jin Wang, Qing Li

  11051-11059

  2023-06-26

• MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning

  Jingshan Hong, Haigen Hu, Huihuang Zhang, Qianwei Zhou, Li Zhao

  4734-4743

  2026-03-14

• Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions

  Virginie Debauche, Alec Edwards, Raphaël M. Jungers, Alessandro Abate

  21010-21018

  2024-03-24

• Amata: An Annealing Mechanism for Adversarial Training Acceleration

  Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

  10691-10699

  2021-05-18

• Learning with Retrospection

  Xiang Deng, Zhongfei Zhang

  7201-7209

  2021-05-18

• `Less Than One'-Shot Learning: Learning N Classes From M < N Samples

  Ilia Sucholutsky, Matthias Schonlau

  9739-9746

  2021-05-18

• FracBits: Mixed Precision Quantization via Fractional Bit-Widths

  Linjie Yang, Qing Jin

  10612-10620

  2021-05-18

• Efficient Folded Attention for Medical Image Reconstruction and Segmentation

  Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

  10868-10876

  2021-05-18

• Interpreting Multivariate Shapley Interactions in DNNs

  Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

  10877-10886

  2021-05-18

• Interpretable Actions: Controlling Experts with Understandable Commands

  Shumeet Baluja, David Marwood, Michele Covell

  4912-4922

  2021-05-18

• DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning

  Bo Cui, Guyue Hu, Shan Yu

  1175-1183

  2021-05-18

• An Exemplar-based Framework for Chinese Text Recognition

  Zhao Zhou, Xiangcheng Du, Yingbin Zheng, Xingjiao Wu, Cheng Jin

  10896-10904

  2025-04-11

• DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting

  Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Shuo Li

  23391-23400

  2026-03-14

• Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification

  Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang

  13835-13843

  2026-03-14

• United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

  Uri Stern, Daniel Shwartz, Daphna Weinshall

  15075-15082

  2024-03-24

• The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks

  Andrzej Mizera, Jakub Zarzycki

  873-880

  2026-03-14

• Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1,+1}

  Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao

  5024-5032

  2019-07-17

• Scalable Theory-Driven Regularization of Scene Graph Generation Models

  Davide Buffelli, Efthymia Tsamoura

  6850-6859

  2023-06-26

• DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction

  Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

  598-606

  2022-06-28

• AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

  Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan

  2018-04-29