Summary of Emt: a Novel Transformer For Generalized Cross-subject Eeg Emotion Recognition, by Yi Ding et al.
EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognitionby Yi Ding, Chengxuan Tong, Shuailei…
Summary of Do Llms Dream Of Elephants (when Told Not To)? Latent Concept Association and Associative Memory in Transformers, by Yibo Jiang et al.
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory…
Summary of Labor-llm: Language-based Occupational Representations with Large Language Models, by Susan Athey et al.
LABOR-LLM: Language-Based Occupational Representations with Large Language Modelsby Susan Athey, Herman Brunborg, Tianyu Du, Ayush…
Summary of Univariate Skeleton Prediction in Multivariate Systems Using Transformers, by Giorgio Morales et al.
Univariate Skeleton Prediction in Multivariate Systems Using Transformersby Giorgio Morales, John W. SheppardFirst submitted to…
Summary of Transformer Normalisation Layers and the Independence Of Semantic Subspaces, by Stephen Menary et al.
Transformer Normalisation Layers and the Independence of Semantic Subspacesby Stephen Menary, Samuel Kaski, Andre FreitasFirst…
Summary of Et Tu, Clip? Addressing Common Object Errors For Unseen Environments, by Ye Won Byun et al.
ET tu, CLIP? Addressing Common Object Errors for Unseen Environmentsby Ye Won Byun, Cathy Jiao,…
Summary of Hgtdp-dta: Hybrid Graph-transformer with Dynamic Prompt For Drug-target Binding Affinity Prediction, by Xi Xiao and Wentao Wang and Jiacheng Xie and Lijing Zhu and Gaofei Chen and Zhengji Li and Tianyang Wang and Min Xu
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Predictionby Xi Xiao, Wentao Wang,…
Summary of Structured Unrestricted-rank Matrices For Parameter Efficient Fine-tuning, by Arijit Sehanobish et al.
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuningby Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu…
Summary of Interpreting Attention Layer Outputs with Sparse Autoencoders, by Connor Kissane et al.
Interpreting Attention Layer Outputs with Sparse Autoencodersby Connor Kissane, Robert Krzyzanowski, Joseph Isaac Bloom, Arthur…
Summary of Se-vgae: Unsupervised Disentangled Representation Learning For Interpretable Architectural Layout Design Graph Generation, by Jielin Chen and Rudi Stouffs
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generationby Jielin Chen, Rudi…