Summary of Function-space Parameterization Of Neural Networks For Sequential Learning, by Aidan Scannell et al.
Function-space Parameterization of Neural Networks for Sequential Learningby Aidan Scannell, Riccardo Mereu, Paul Chang, Ella…
Summary of Ode Discovery For Longitudinal Heterogeneous Treatment Effects Inference, by Krzysztof Kacprzyk et al.
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inferenceby Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi…
Summary of Achieving Pareto Optimality Using Efficient Parameter Reduction For Dnns in Resource-constrained Edge Environment, by Atah Nuh Mih et al.
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environmentby Atah Nuh…
Summary of Dipaco: Distributed Path Composition, by Arthur Douillard et al.
DiPaCo: Distributed Path Compositionby Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev,…
Summary of Fast and Reliable Uncertainty Quantification with Neural Network Ensembles For Industrial Image Classification, by Arthur Thuy et al.
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classificationby Arthur Thuy,…
Summary of Comprehensive Study Of Predictive Maintenance in Industries Using Classification Models and Lstm Model, by Saket Maheshwari et al.
Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Modelby Saket Maheshwari,…
Summary of Rough Transformers For Continuous and Efficient Time-series Modelling, by Fernando Moreno-pino et al.
Rough Transformers for Continuous and Efficient Time-Series Modellingby Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon, Xiaowen…
Summary of Recurrent Drafter For Fast Speculative Decoding in Large Language Models, by Yunfei Cheng and Aonan Zhang and Xuanyu Zhang and Chong Wang and Yi Wang
Recurrent Drafter for Fast Speculative Decoding in Large Language Modelsby Yunfei Cheng, Aonan Zhang, Xuanyu…
Summary of Reawakening Knowledge: Anticipatory Recovery From Catastrophic Interference Via Structured Training, by Yanlai Yang et al.
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured trainingby Yanlai Yang, Matt Jones, Michael…
Summary of Machine Learning For Structural Design Models Of Continuous Beam Systems Via Influence Zones, by Adrien Gallet et al.
Machine learning for structural design models of continuous beam systems via influence zonesby Adrien Gallet,…