Summary of A Walsh Hadamard Derived Linear Vector Symbolic Architecture, by Mohammad Mahmudul Alam et al.
A Walsh Hadamard Derived Linear Vector Symbolic Architectureby Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff,…
Summary of Incremental Learning Of Retrievable Skills For Efficient Continual Task Adaptation, by Daehee Lee et al.
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptationby Daehee Lee, Minjong Yoo, Woo…
Summary of Calibrating Practical Privacy Risks For Differentially Private Machine Learning, by Yuechun Gu et al.
Calibrating Practical Privacy Risks for Differentially Private Machine Learningby Yuechun Gu, Keke ChenFirst submitted to…
Summary of Is Function Similarity Over-engineered? Building a Benchmark, by Rebecca Saul et al.
Is Function Similarity Over-Engineered? Building a Benchmarkby Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak,…
Summary of Improving Uncertainty Quantification in Large Language Models Via Semantic Embeddings, by Yashvir S. Grewal et al.
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddingsby Yashvir S. Grewal, Edwin V.…
Summary of Byzantine-robust Federated Learning: An Overview with Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols, by Atharv Deshmukh
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure…
Summary of Choice Between Partial Trajectories: Disentangling Goals From Beliefs, by Henrik Marklund and Benjamin Van Roy
Choice Between Partial Trajectories: Disentangling Goals from Beliefsby Henrik Marklund, Benjamin Van RoyFirst submitted to…
Summary of An Iterative Algorithm For Regularized Non-negative Matrix Factorizations, by Steven E. Pav
An Iterative Algorithm for Regularized Non-negative Matrix Factorizationsby Steven E. PavFirst submitted to arxiv on:…
Summary of Permutation Invariant Learning with High-dimensional Particle Filters, by Akhilan Boopathy et al.
Permutation Invariant Learning with High-Dimensional Particle Filtersby Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer,…
Summary of Exactly Minimax-optimal Locally Differentially Private Sampling, by Hyun-young Park et al.
Exactly Minimax-Optimal Locally Differentially Private Samplingby Hyun-Young Park, Shahab Asoodeh, Si-Hyeon LeeFirst submitted to arxiv…