tml-epfl / why-weight-decay
Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
☆65Updated 6 months ago
Alternatives and similar repositories for why-weight-decay:
Users that are interested in why-weight-decay are comparing it to the libraries listed below
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆123Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆18Updated 9 months ago
- ☆21Updated 2 years ago
- ☆52Updated 6 months ago
- ☆37Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆27Updated 9 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆71Updated 5 months ago
- A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.☆65Updated 8 months ago
- ☆51Updated 10 months ago
- Stick-breaking attention☆50Updated last month
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆54Updated 7 months ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆99Updated 2 years ago
- ☆67Updated last month
- ☆31Updated last year
- ☆51Updated 10 months ago
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆12Updated 3 weeks ago
- ☆33Updated 7 months ago
- ☆32Updated last year
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- ☆31Updated 11 months ago
- [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"☆89Updated this week
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated last year
- Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"☆24Updated 5 months ago
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆26Updated 11 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆39Updated 5 months ago