Summary of Graph Neural Networks with Configuration Cross-attention For Tensor Compilers, by Dmitrii Khizbullin et al.
Graph neural networks with configuration cross-attention for tensor compilersby Dmitrii Khizbullin, Eduardo Rocha de Andrade,…
Summary of A Provably Effective Method For Pruning Experts in Fine-tuned Sparse Mixture-of-experts, by Mohammed Nowaz Rabbani Chowdhury et al.
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Expertsby Mohammed Nowaz Rabbani Chowdhury,…
Summary of Zamba: a Compact 7b Ssm Hybrid Model, by Paolo Glorioso et al.
Zamba: A Compact 7B SSM Hybrid Modelby Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington,…
Summary of Variance-reducing Couplings For Random Features, by Isaac Reid et al.
Variance-Reducing Couplings for Random Featuresby Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian…
Summary of Efficient Probabilistic Modeling Of Crystallization at Mesoscopic Scale, by Pol Timmer et al.
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scaleby Pol Timmer, Koen Minartz, Vlado MenkovskiFirst submitted…
Summary of Node Identifiers: Compact, Discrete Representations For Efficient Graph Learning, by Yuankai Luo et al.
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learningby Yuankai Luo, Hongkang Li, Qijiong Liu,…
Summary of A Slices Perspective For Incremental Nonparametric Inference in High Dimensional State Spaces, by Moshe Shienman et al.
A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spacesby Moshe Shienman, Ohad…
Summary of Bold: Boolean Logic Deep Learning, by Van Minh Nguyen et al.
BOLD: Boolean Logic Deep Learningby Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien…
Summary of Slope: Double-pruned Sparse Plus Lazy Low-rank Adapter Pretraining Of Llms, by Mohammad Mozaffari et al.
SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMsby Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao…
Summary of Noisy Data Meets Privacy: Training Local Models with Post-processed Remote Queries, by Kexin Li et al.
Noisy Data Meets Privacy: Training Local Models with Post-Processed Remote Queriesby Kexin Li, Aastha Mehta,…