most citedA Closer Look at Memorization in Deep Networks

353 citations · 586 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Bounded Morality: Defining the Space of Moral Computation

Max Kanwal, Caryn Tran, Patrick Mineault

Moral cognition has traditionally been modeled as adherence to fixed ethical theories--deontology, consequentialism, virtue ethics--implemented as static rules or value functions.…

cs.AI2026

Constructive Alignment: Governing Preference Dynamics in Human-AI Interaction

Max Kanwal, Caryn Tran

Most approaches to AI alignment treat human preferences as fixed targets to be inferred and optimized. This assumption conflicts with extensive empirical evidence showing that pref…

cs.IT2017★ 19 cited

Comparing Information-Theoretic Measures of Complexity in Boltzmann Machines

Maxinder S. Kanwal, Joshua A. Grochow, Nihat Ay

In the past three decades, many theoretical measures of complexity have been proposed to help understand complex systems. In this work, for the first time, we place these measures…

stat.ML2017★ 353 cited

A Closer Look at Memorization in Deep Networks

Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas +8

We examine the role of memorization in deep learning, drawing connections to capacity, generalization, and adversarial robustness. While deep networks are capable of memorizing noi…

cs.CR2017★ 214 cited

Proof of Luck: an Efficient Blockchain Consensus Protocol

Mitar Milutinovic, Warren He, Howard Wu +1

In the paper, we present designs for multiple blockchain consensus primitives and a novel blockchain system, all based on the use of trusted execution environments (TEEs), such as…