Summary of The Crucial Role Of Samplers in Online Direct Preference Optimization, by Ruizhe Shi et al.
The Crucial Role of Samplers in Online Direct Preference Optimizationby Ruizhe Shi, Runlong Zhou, Simon…
Summary of Duognn: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-decoupling, by K. Mancini and I. Rekik
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decouplingby K. Mancini, I. RekikFirst submitted…
Summary of Temporal Source Recovery For Time-series Source-free Unsupervised Domain Adaptation, by Yucheng Wang et al.
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptationby Yucheng Wang, Peiliang Gong, Min Wu,…
Summary of Explicit Construction Of Recurrent Neural Networks Effectively Approximating Discrete Dynamical Systems, by Chikara Nakayama and Tsuyoshi Yoneda
Explicit construction of recurrent neural networks effectively approximating discrete dynamical systemsby Chikara Nakayama, Tsuyoshi YonedaFirst…
Summary of Veclstm: Trajectory Data Processing and Management For Activity Recognition Through Lstm Vectorization and Database Integration, by Solmaz Seyed Monir et al.
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integrationby…
Summary of Visual Question Decomposition on Multimodal Large Language Models, by Haowei Zhang et al.
Visual Question Decomposition on Multimodal Large Language Modelsby Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo…
Summary of A Generalized Model For Multidimensional Intransitivity, by Jiuding Duan et al.
A Generalized Model for Multidimensional Intransitivityby Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi KashimaFirst submitted…
Summary of Unveil Benign Overfitting For Transformer in Vision: Training Dynamics, Convergence, and Generalization, by Jiarui Jiang et al.
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalizationby Jiarui Jiang, Wei…
Summary of Sparse Modelling For Feature Learning in High Dimensional Data, by Harish Neelam et al.
Sparse Modelling for Feature Learning in High Dimensional Databy Harish Neelam, Koushik Sai Veerella, Souradip…
Summary of Interpretable, Multi-dimensional Evaluation Framework For Causal Discovery From Observational I.i.d. Data, by Georg Velev et al.
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. Databy Georg Velev, Stefan LessmannFirst…