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• ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

  Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

  7857-7864

  2021-05-18

• Accurate and Robust Feature Importance Estimation under Distribution Shifts

  Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias

  7891-7898

  2021-05-18

• Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching

  Mingi Ji, Byeongho Heo, Sungrae Park

  7945-7952

  2021-05-18

• Multi-Domain Multi-Task Rehearsal for Lifelong Learning

  Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang

  8819-8827

  2021-05-18

• FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting

  Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

  9233-9241

  2021-05-18

• Defending against Backdoors in Federated Learning with Robust Learning Rate

  Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel

  9268-9276

  2021-05-18

• Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution

  Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen

  7713-7721

  2024-03-24

• Maximum Roaming Multi-Task Learning

  Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

  9331-9341

  2021-05-18

• Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability

  Litu Rout

  9436-9444

  2021-05-18

• Membership Privacy for Machine Learning Models Through Knowledge Transfer

  Virat Shejwalkar, Amir Houmansadr

  9549-9557

  2021-05-18

• Differential Spectral Normalization (DSN) for PDE Discovery

  Chi Chiu So, Tsz On Li, Chufang Wu, Siu Pang Yung

  9675-9684

  2021-05-18

• SigMaNet: One Laplacian to Rule Them All

  Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina

  7568-7576

  2023-06-26

• Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose

  Harry Rubin-Falcone, Joyce Lee, Jenna Wiens

  9650-9657

  2023-06-26

• MetaAugment: Sample-Aware Data Augmentation Policy Learning

  Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

  11097-11105

  2021-05-18

• Learning Task-Distribution Reward Shaping with Meta-Learning

  Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

  11210-11218

  2021-05-18

• PenDer: Incorporating Shape Constraints via Penalized Derivatives

  Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson

  11536-11544

  2021-05-18

• Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition

  Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

  11921-11929

  2021-05-18

• iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds

  Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo

  1335-1343

  2024-03-24

• Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences

  Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

  12772-12780

  2023-06-26

• ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning

  Yi Rong, Xiongbo Lu, Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong

  9596-9605

  2023-06-26

• WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series

  Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang

  10754-10761

  2023-06-26

• UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer

  Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao

  13891-13899

  2024-03-24

• Adaptive Discovering and Merging for Incremental Novel Class Discovery

  Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian

  11276-11284

  2024-03-24

• Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

  Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das

  6788-6796

  2023-06-26

• Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network

  Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun

  197-205

  2023-06-26