Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classificationby Agus Hartoyo, Jan Argasiński,…
Hybrid Machine Learning techniques in the management of harmful algal blooms impactby Andres Molares-Ulloa, Daniel…
Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence…
Gradient Alignment with Prototype Feature for Fully Test-time Adaptationby Juhyeon Shin, Jonghyun Lee, Saehyung Lee,…
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocksby Jiwon Song, Kyungseok Oh,…
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEsby Yusuke Tanaka, Takaharu…
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraintsby Barathi Subramanian,…
Inference of Abstraction for a Unified Account of Reasoning and Learningby Hiroyuki KidoFirst submitted to…
Under manipulations, are some AI models harder to audit?by Augustin Godinot, Gilles Tredan, Erwan Le…
I can’t see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using…