Summary of Game Theory Meets Statistical Mechanics in Deep Learning Design, by Djamel Bouchaffra et al.
Game Theory Meets Statistical Mechanics in Deep Learning Designby Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye,…
Summary of Geometric Inductive Biases Of Deep Networks: the Role Of Data and Architecture, by Sajad Movahedi et al.
Geometric Inductive Biases of Deep Networks: The Role of Data and Architectureby Sajad Movahedi, Antonio…
Summary of Table-llm-specialist: Language Model Specialists For Tables Using Iterative Generator-validator Fine-tuning, by Junjie Xing et al.
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuningby Junjie Xing, Yeye He, Mengyu…
Summary of A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise Interference, by Yuan Li et al.
A Robust Multisource Remote Sensing Image Matching Method Utilizing Attention and Feature Enhancement Against Noise…
Summary of A Complete Decomposition Of Kl Error Using Refined Information and Mode Interaction Selection, by James Enouen and Mahito Sugiyama
A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selectionby James Enouen,…
Summary of Beyond Labels: a Self-supervised Framework with Masked Autoencoders and Random Cropping For Breast Cancer Subtype Classification, by Annalisa Chiocchetti et al.
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype…
Summary of Ecgn: a Cluster-aware Approach to Graph Neural Networks For Imbalanced Classification, by Bishal Thapaliya et al.
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classificationby Bishal Thapaliya, Anh Nguyen,…
Summary of On the Training Convergence Of Transformers For In-context Classification Of Gaussian Mixtures, by Wei Shen et al.
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixturesby Wei Shen, Ruida…
Summary of Selection-p: Self-supervised Task-agnostic Prompt Compression For Faithfulness and Transferability, by Tsz Ting Chung et al.
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferabilityby Tsz Ting Chung, Leyang Cui, Lemao…
Summary of The Best Of Both Worlds: on the Dilemma Of Out-of-distribution Detection, by Qingyang Zhang et al.
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detectionby Qingyang Zhang, Qiuxuan Feng,…