29 citations · 29 across the 1 of their papers we have counts for
4 papers
Benchmarking Prompt Optimization of Large Language Models With Chess
Timothée Lesort, Alejandra López de Aberasturi Gómez, Tristan Karch +4
Evaluating large language models becomes increasingly challenging as their capabilities advance: benchmarks can saturate, public test sets risk contamination, and assessing harder…
Efficient Continual Learning with Modular Networks and Task-Driven Priors
Tom Veniat, Ludovic Denoyer, Marc'Aurelio Ranzato
Existing literature in Continual Learning (CL) has focused on overcoming catastrophic forgetting, the inability of the learner to recall how to perform tasks observed in the past.…
Stochastic Adaptive Neural Architecture Search for Keyword Spotting
Tom Véniat, Olivier Schwander, Ludovic Denoyer
The problem of keyword spotting i.e. identifying keywords in a real-time audio stream is mainly solved by applying a neural network over successive sliding windows. Due to the diff…
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks
Tom Veniat, Ludovic Denoyer
We propose to focus on the problem of discovering neural network architectures efficient in terms of both prediction quality and cost. For instance, our approach is able to solve t…