gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

14 August 2023

Papers citing "gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling"

7 / 7 papers shown

Title
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings Aleksandr V. Petrov Craig MacDonald Nicola Tonellotto 29 0 0 01 May 2025
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation Qingtian Bian Marcus Vinícius de Carvalho Tieying Li Jiaxing Xu Hui Fang Yiping Ke 34 0 0 25 Jan 2025
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 24 0 0 01 Aug 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 37 2 0 22 Feb 2024
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore V. W. Anelli F. Narducci T. D. Noia E. Sciascio ALM 38 27 0 07 Sep 2023
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 258 0 19 May 2022
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 214 607 0 13 Oct 2020