[ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
☆56Feb 28, 2023Updated 3 years ago
Alternatives and similar repositories for Random-MoE-as-Dropout
Users that are interested in Random-MoE-as-Dropout are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This package implements THOR: Transformer with Stochastic Experts.☆64Oct 7, 2021Updated 5 years ago
- Mixture of Attention Heads☆54Oct 10, 2022Updated 4 years ago
- sigma-MoE layer☆21Jan 5, 2024Updated 2 years ago
- ☆29May 24, 2024Updated 2 years ago
- ☆13May 21, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ACL 2023 Findings] Emergent Modularity in Pre-trained Transformers☆26Jun 7, 2023Updated 3 years ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆52Jul 17, 2022Updated 4 years ago
- Implementation for ACL 2024 paper "Meta-Task Prompting Elicits Embeddings from Large Language Models"☆12Jul 25, 2024Updated 2 years ago
- ☆146Jul 21, 2024Updated 2 years ago
- Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs☆25Nov 11, 2025Updated 11 months ago
- ☆21Oct 31, 2022Updated 3 years ago
- Official code for the paper "Attention as a Hypernetwork"☆60Feb 24, 2026Updated 7 months ago
- Google DeepMind: Mixture of Depths Unofficial Implementation.☆12May 29, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆17Jun 11, 2025Updated last year
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Apr 21, 2025Updated last year
- ☆19Sep 15, 2022Updated 4 years ago
- Official code for the paper CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation published at ACL 2022 main conf…☆12Apr 6, 2023Updated 3 years ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆48Oct 2, 2026Updated last week
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Jul 11, 2023Updated 3 years ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated 2 years ago
- Variance Covariance Regularization☆14Jun 22, 2023Updated 3 years ago
- An implementation is provided here for the NeurIPS2024 paper "MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected…☆16Mar 24, 2026Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 4 years ago
- Code for ICML 2024 paper☆34Sep 18, 2025Updated last year
- ☆85Jun 2, 2026Updated 4 months ago
- ☆13Oct 29, 2021Updated 4 years ago
- ☆93Aug 18, 2024Updated 2 years ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆39Jun 11, 2025Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Sep 30, 2024Updated 2 years ago
- ☆18May 2, 2024Updated 2 years ago
- Code Repository for the NeurIPS 2024 Paper "Toward Efficient Inference for Mixture of Experts".☆19Oct 30, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Structured Pruning Adapters in PyTorch☆19Aug 30, 2023Updated 3 years ago
- The official implementation of the paper "Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity".☆17Oct 2, 2026Updated last week
- Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind☆177Sep 12, 2024Updated 2 years ago
- Official PyTorch implementation of CD-MOE☆12Mar 18, 2026Updated 6 months ago
- [EMNLP 2024] Multi-modal reasoning problems via code generation.☆28Apr 14, 2026Updated 6 months ago
- ☆22Dec 11, 2024Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,140Oct 7, 2024Updated 2 years ago