AutoLoss: Automated Loss Function Search in Recommendations

12 June 2021

Papers citing "AutoLoss: Automated Loss Function Search in Recommendations"

36 / 36 papers shown

Title
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 99 0 0 08 May 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 148 7 0 08 Mar 2025
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 65 76 0 10 Jun 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 77 85 0 19 Jan 2021
Loss Function Search for Face Recognition Xiaobo Wang Shuo Wang Cheng Chi Shifeng Zhang Tao Mei CVBM 67 49 0 10 Jul 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian X. Hu 3DV 51 87 0 29 Jun 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang Dehua Cheng Hanpeng Liu Xuening Feng Eric Zhou Yan Liu FAtt 45 60 0 19 Jun 2020
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 62 36 0 08 Jun 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 41 77 0 17 May 2020
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems Antonio A. Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou 63 100 0 25 Sep 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiwang Yang Xiaobing Liu Jiliang Tang Hui Liu OffRL 44 102 0 09 Sep 2019
Distance Map Loss Penalty Term for Semantic Segmentation Francesco Calivá C. Iriondo A. M. Martinez S. Majumdar V. Pedoia MedIm 51 79 0 10 Aug 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hoyeop Lee Jinbae Im Seongwon Jang Hyunsouk Cho Sehee Chung 27 362 0 31 Jul 2019
Neural Input Search for Large Scale Recommendation Models Manas R. Joglekar Cong Li Jay K. Adams Pranav Khaitan Quoc V. Le 49 113 0 10 Jul 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 47 25 0 27 Jun 2019
AM-LFS: AutoML for Loss Function Search Chuming Li Yuan Xin Chen Lin Minghao Guo Wei Wu Wanli Ouyang Junjie Yan VLM 104 71 0 17 May 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 29 109 0 29 Apr 2019
Security and Privacy on Blockchain Rui Zhang Rui Xue Ling Liu 43 771 0 18 Mar 2019
UPSNet: A Unified Panoptic Segmentation Network Yuwen Xiong Renjie Liao Hengshuang Zhao Rui Hu Min Bai Ersin Yumer R. Urtasun SSeg 63 430 0 12 Jan 2019
Panoptic Feature Pyramid Networks Alexander Kirillov Ross B. Girshick Kaiming He Piotr Dollár ISeg SSeg 106 1,282 0 08 Jan 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 54 854 0 29 Oct 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 71 30 0 04 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 179 1,093 0 04 Jul 2018
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification Xing Fan Wei Jiang Hao Luo Mengjuan Fei 50 199 0 02 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 185 4,345 0 24 Jun 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian Xiaohuan Zhou Fuzheng Zhang Zhongxia Chen Xing Xie Guangzhong Sun BDL 54 1,048 0 14 Mar 2018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning Xiangyu Zhao Li Zhang Zhuoye Ding Long Xia Jiliang Tang Dawei Yin 75 332 0 19 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 98 2,762 0 09 Feb 2018
Neural Factorization Machines for Sparse Predictive Analytics Xiangnan He Tat-Seng Chua 77 1,293 0 16 Aug 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 104 2,640 0 13 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 78 1,455 0 07 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 273 5,360 0 03 Nov 2016
Product-based Neural Networks for User Response Prediction Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang 72 715 0 01 Nov 2016
Improved Recurrent Neural Networks for Session-based Recommendations Yong Kiam Tan Xinxing Xu Yong-Jin Liu 57 739 0 27 Jun 2016
Bridging Category-level and Instance-level Semantic Image Segmentation Zifeng Wu Chunhua Shen Anton Van Den Hengel ISeg SSeg 114 161 0 23 May 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.5K 76,917 0 18 May 2015