Summary of Your Transformer Is Secretly Linear, by Anton Razzhigaev et al.
Your Transformer is Secretly Linearby Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets,…
Summary of Identifying Functionally Important Features with End-to-end Sparse Dictionary Learning, by Dan Braun et al.
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learningby Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill,…
Summary of Generalization Ability Of Feature-based Performance Prediction Models: a Statistical Analysis Across Benchmarks, by Ana Nikolikj et al.
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarksby Ana Nikolikj, Ana…
Summary of Prompt Learning For Generalized Vehicle Routing, by Fei Liu et al.
Prompt Learning for Generalized Vehicle Routingby Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu…
Summary of Exact: Towards a Platform For Empirically Benchmarking Machine Learning Model Explanation Methods, by Benedict Clark et al.
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methodsby Benedict Clark, Rick…
Summary of Efficient Model-stealing Attacks Against Inductive Graph Neural Networks, by Marcin Podhajski et al.
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networksby Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam…
Summary of Perturbing the Gradient For Alleviating Meta Overfitting, by Manas Gogoi et al.
Perturbing the Gradient for Alleviating Meta Overfittingby Manas Gogoi, Sambhavi Tiwari, Shekhar VermaFirst submitted to…
Summary of Continual Deep Reinforcement Learning For Decentralized Satellite Routing, by Federico Lozano-cuadra et al.
Continual Deep Reinforcement Learning for Decentralized Satellite Routingby Federico Lozano-Cuadra, Beatriz Soret, Israel Leyva-Mayorga, Petar…
Summary of A Principled Approach For a New Bias Measure, by Bruno Scarone et al.
A Principled Approach for a New Bias Measureby Bruno Scarone, Alfredo Viola, Renée J. Miller,…
Summary of Kernel Spectral Joint Embeddings For High-dimensional Noisy Datasets Using Duo-landmark Integral Operators, by Xiucai Ding and Rong Ma
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operatorsby Xiucai Ding, Rong…