Summary of Misalignment, Learning, and Ranking: Harnessing Users Limited Attention, by Arpit Agarwal et al.
Misalignment, Learning, and Ranking: Harnessing Users Limited Attentionby Arpit Agarwal, Rad Niazadeh, Prathamesh PatilFirst submitted…
Summary of Learning Causation Event Conjunction Sequences, by Thomas E. Portegys
Learning causation event conjunction sequencesby Thomas E. PortegysFirst submitted to arxiv on: 17 Feb 2024CategoriesMain:…
Summary of E2usd: Efficient-yet-effective Unsupervised State Detection For Multivariate Time Series, by Zhichen Lai et al.
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Seriesby Zhichen Lai, Huan Li, Dalin Zhang,…
Summary of From Self-attention to Markov Models: Unveiling the Dynamics Of Generative Transformers, by M. Emrullah Ildiz et al.
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformersby M. Emrullah Ildiz, Yixiao…
Summary of Heterogeneous Graph Neural Network on Semantic Tree, by Mingyu Guan et al.
Heterogeneous Graph Neural Network on Semantic Treeby Mingyu Guan, Jack W. Stokes, Qinlong Luo, Fuchen…
Summary of Todo: Token Downsampling For Efficient Generation Of High-resolution Images, by Ethan Smith et al.
ToDo: Token Downsampling for Efficient Generation of High-Resolution Imagesby Ethan Smith, Nayan Saxena, Aninda SahaFirst…
Summary of Graphgini: Fostering Individual and Group Fairness in Graph Neural Networks, by Anuj Kumar Sirohi et al.
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networksby Anuj Kumar Sirohi, Anjali Gupta,…
Summary of Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-series Dependencies and Intra-series Variations Modeling, by Guoqi Yu et al.
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modelingby Guoqi…
Summary of On the Byzantine-resilience Of Distillation-based Federated Learning, by Christophe Roux et al.
On the Byzantine-Resilience of Distillation-Based Federated Learningby Christophe Roux, Max Zimmer, Sebastian PokuttaFirst submitted to…
Summary of Dictionary Learning Improves Patch-free Circuit Discovery in Mechanistic Interpretability: a Case Study on Othello-gpt, by Zhengfu He et al.
Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPTby Zhengfu…