Summary of How Well Can Transformers Emulate In-context Newton’s Method?, by Angeliki Giannou et al.
How Well Can Transformers Emulate In-context Newton’s Method?by Angeliki Giannou, Liu Yang, Tianhao Wang, Dimitris…
Summary of G4-attention: Deep Learning Model with Attention For Predicting Dna G-quadruplexes, by Shrimon Mukherjee et al.
G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexesby Shrimon Mukherjee, Pulakesh Pramanik, Partha…
Summary of Injecttst: a Transformer Method Of Injecting Global Information Into Independent Channels For Long Time Series Forecasting, by Ce Chi et al.
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series…
Summary of Taylorshift: Shifting the Complexity Of Self-attention From Squared to Linear (and Back) Using Taylor-softmax, by Tobias Christian Nauen et al.
TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmaxby Tobias…
Summary of Unsupervised Spatio-temporal State Estimation For Fine-grained Adaptive Anomaly Diagnosis Of Industrial Cyber-physical Systems, by Haili Sun et al.
Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systemsby Haili Sun,…
Summary of Learning to Defer to a Population: a Meta-learning Approach, by Dharmesh Tailor et al.
Learning to Defer to a Population: A Meta-Learning Approachby Dharmesh Tailor, Aditya Patra, Rajeev Verma,…
Summary of Encodings For Prediction-based Neural Architecture Search, by Yash Akhauri et al.
Encodings for Prediction-based Neural Architecture Searchby Yash Akhauri, Mohamed S. AbdelfattahFirst submitted to arxiv on:…
Summary of Atp: Enabling Fast Llm Serving Via Attention on Top Principal Keys, by Yue Niu et al.
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keysby Yue Niu, Saurav Prakash,…
Summary of Ninformer: a Network in Network Transformer with Token Mixing As a Gating Function Generator, by Abdullah Nazhat Abdullah et al.
NiNformer: A Network in Network Transformer with Token Mixing as a Gating Function Generatorby Abdullah…
Summary of Improving Out-of-distribution Generalization in Graphs Via Hierarchical Semantic Environments, by Yinhua Piao et al.
Improving out-of-distribution generalization in graphs via hierarchical semantic environmentsby Yinhua Piao, Sangseon Lee, Yijingxiu Lu,…