Summary of Polynormer: Polynomial-expressive Graph Transformer in Linear Time, by Chenhui Deng et al.
Polynormer: Polynomial-Expressive Graph Transformer in Linear Timeby Chenhui Deng, Zichao Yue, Zhiru ZhangFirst submitted to…
Summary of Dissecting Language Models: Machine Unlearning Via Selective Pruning, by Nicholas Pochinkov and Nandi Schoots
Dissecting Language Models: Machine Unlearning via Selective Pruningby Nicholas Pochinkov, Nandi SchootsFirst submitted to arxiv…
Summary of Tree-regularized Tabular Embeddings, by Xuan Li et al.
Tree-Regularized Tabular Embeddingsby Xuan Li, Yun Wang, Bo LiFirst submitted to arxiv on: 1 Mar…
Summary of Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations For Recognition and Retrieval, by Rohan Sarkar et al.
Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrievalby Rohan Sarkar,…
Summary of Griffin: Mixing Gated Linear Recurrences with Local Attention For Efficient Language Models, by Soham De et al.
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Modelsby Soham De, Samuel…
Summary of Training Dynamics Of Multi-head Softmax Attention For In-context Learning: Emergence, Convergence, and Optimality, by Siyu Chen et al.
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimalityby Siyu Chen,…
Summary of Preroutgnn For Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling, by Ruizhe Zhong et al.
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and…
Summary of Theoretical Foundations Of Deep Selective State-space Models, by Nicola Muca Cirone et al.
Theoretical Foundations of Deep Selective State-Space Modelsby Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher…
Summary of Protop-od: Explainable Object Detection with Prototypical Parts, by Pavlos Rath-manakidis et al.
ProtoP-OD: Explainable Object Detection with Prototypical Partsby Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers, Laurenz WiskottFirst…
Summary of Trained Random Forests Completely Reveal Your Dataset, by Julien Ferry et al.
Trained Random Forests Completely Reveal your Datasetby Julien Ferry, Ricardo Fukasawa, Timothée Pascal, Thibaut VidalFirst…