Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomizationby Arezoo Rajabi, Reeya Pimple,…
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuningby Ahmed Radwan, Layan Zaafarani, Jetana Abudawood, Faisal…
Investigating Recurrent Transformers with Dynamic Haltby Jishnu Ray Chowdhury, Cornelia CarageaFirst submitted to arxiv on:…
Repeat After Me: Transformers are Better than State Space Models at Copyingby Samy Jelassi, David…
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structuresby Ayush Jain, Ehsan Haghighat, Sai…
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Modelby Reda Khoufache, Anisse Belhadj, Hanene Azzag,…
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systemsby Jacob G. Elkins,…
Bayesian Causal Inference with Gaussian Process Networksby Enrico Giudice, Jack Kuipers, Giusi MoffaFirst submitted to…
Explaining Text Classifiers with Counterfactual Representationsby Pirmin Lemberger, Antoine SaillenfestFirst submitted to arxiv on: 1…
Unlearnable Algorithms for In-context Learningby Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas PapernotFirst submitted…