activity
20162026
most citedAdaNet: Adaptive Structural Learning of Artificial Neural Networks

109 citations · 110 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization

Benoit Dherin, Michael Munn, Xavier Gonzalvo +14

Context tokens in a transformer-based language model can be absorbed into the model's weights as a multiplicative operator. We study this operator in the setting of safety instruct…

cs.LG2026

Grow, Don't Overwrite: Fine-tuning Without Forgetting

Dyah Adila, Hanna Mazzawi, Benoit Dherin +1

Adapting pre-trained models to specialized tasks often leads to catastrophic forgetting, where new knowledge overwrites foundational capabilities. Existing methods either compromis…

cs.LG2024

Majority Kernels: An Approach to Leverage Big Model Dynamics for Efficient Small Model Training

Hanna Mazzawi, Pranjal Awasthi, Xavi Gonzalvo +1

Recent breakthroughs and successful deployment of large language and vision models in a constrained environment predominantly follow a two phase approach. First, large models are t…

cs.LG2017★ 1 cited

EnergyNet: Energy-based Adaptive Structural Learning of Artificial Neural Network Architectures

Gus Kristiansen, Xavi Gonzalvo

We present E NERGY N ET , a new framework for analyzing and building artificial neural network architectures. Our approach adaptively learns the structure of the networks in an uns…

cs.LG2016★ 109 cited

AdaNet: Adaptive Structural Learning of Artificial Neural Networks

Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov +2

We present new algorithms for adaptively learning artificial neural networks. Our algorithms (AdaNet) adaptively learn both the structure of the network and its weights. They are b…