Pinned Repositories
automated-cl
Official repository for the paper "Automating Continual Learning"
fpainter
Official repository for the paper "Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules" (ICLR 2023)
modern-srwm
Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)
neuraldiffeq-fwp
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)
recurrent-fwp
Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
rtrl-elstm
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)
attention-paths-interplay
Official code for the paper "Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers"
automated-cl
Official repository for the paper "Automating Continual Learning"
dct-fast-weights
PyTorch implementation of DCT fast weight RNNs
fork--wilds-public
Official Repository for the paper "Improving Baselines in the Wild".
kazuki-irie's Repositories
kazuki-irie/dct-fast-weights
PyTorch implementation of DCT fast weight RNNs
kazuki-irie/fork--wilds-public
Official Repository for the paper "Improving Baselines in the Wild".
kazuki-irie/attention-paths-interplay
Official code for the paper "Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers"
kazuki-irie/automated-cl
Official repository for the paper "Automating Continual Learning"
kazuki-irie/fpainter
Official repository for the paper "Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules" (ICLR 2023)
kazuki-irie/fork-public--rome
Fork of the official code for "Locating and editing factual associations in GPT" (NeurIPS 2022)
kazuki-irie/fwp-formal-lang
Official repository for the paper "Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions" (EMNLP 2023)
kazuki-irie/gatsby2024--LLM-workshop
Notebooks for Gatsby 2024 Workshop on LLMs @ Columbia University, NY, USA
kazuki-irie/kohonen-vae
Official repository for the paper "Topological Neural Discrete Representation Learning à la Kohonen"
kazuki-irie/lmtool-fwp
PyTorch Language Modeling Toolkit for Fast Weight Programmers
kazuki-irie/modern-srwm
Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)
kazuki-irie/neuraldiffeq-fwp
Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (NeurIPS 2022)
kazuki-irie/recurrent-fwp
Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
kazuki-irie/returnn
The RWTH extensible training framework for universal recurrent neural networks
kazuki-irie/returnn-experiments
experiments with RETURNN
kazuki-irie/rtrl-elstm
Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning"