Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

29 December 2022

Papers citing "Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks"

6 / 6 papers shown

Title
Measuring In-Context Computation Complexity via Hidden State Prediction Vincent Herrmann Róbert Csordás Jürgen Schmidhuber 41 0 0 17 Mar 2025
Learning Useful Representations of Recurrent Neural Network Weight Matrices Vincent Herrmann Francesco Faccio Jürgen Schmidhuber 21 7 0 18 Mar 2024
ACES: Generating Diverse Programming Puzzles with with Autotelic Generative Models Julien Pourcel Cédric Colas Gaia Molinaro Pierre-Yves Oudeyer Laetitia Teodorescu 35 2 0 15 Oct 2023
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States Francesco Faccio Aditya A. Ramesh Vincent Herrmann J. Harb Jürgen Schmidhuber OffRL 44 8 0 04 Jul 2022
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 48 56 0 29 Dec 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016