Summary of Making Pre-trained Language Models Great on Tabular Prediction, by Jiahuan Yan et al.
Making Pre-trained Language Models Great on Tabular Predictionby Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng…
Making Pre-trained Language Models Great on Tabular Predictionby Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng…
The Hidden Attention of Mamba Modelsby Ameen Ali, Itamar Zimerman, Lior WolfFirst submitted to arxiv…
Cost-Effective Attention Mechanisms for Low Resource Settings: Necessity & Sufficiency of Linear Transformationsby Peyman Hosseini,…
Permutation invariant functions: statistical tests, density estimation, and computationally efficient embeddingby Wee Chaimanowong, Ying ZhuFirst…
Representation Learning on Heterophilic Graph with Directional Neighborhood Attentionby Qincheng Lu, Jiaqi Zhu, Sitao Luan,…
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Networkby Renjie…
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniquesby Shivam PandeFirst submitted…
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attentionby Tianyi Zhang, Jonah Wonkyu Yi, Bowen…
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuitsby Chenhui Deng,…
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignmentby Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao…