wjxts / RegularizedBNLinks
☆21Updated 2 years ago
Alternatives and similar repositories for RegularizedBN
Users that are interested in RegularizedBN are comparing it to the libraries listed below
Sorting:
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last month
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆52Updated 2 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 9 months ago
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated 10 months ago
- ☆51Updated last year
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆34Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated 2 years ago
- Code for T-MARS data filtering☆35Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated 2 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 years ago
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- ☆21Updated 2 years ago
- ☆26Updated last year
- Official implementation of the paper: "A deeper look at depth pruning of LLMs"☆15Updated 11 months ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- ☆29Updated 2 years ago
- ☆58Updated 2 years ago
- Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).☆59Updated 3 years ago
- Mixture of Attention Heads☆47Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Updated 2 months ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 2 months ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 3 years ago
- [ICML2023] Instant Soup Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. Ajay Jaiswal, Shiwei Liu, Ti…☆11Updated last year
- Recycling diverse models☆45Updated 2 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 4 months ago
- Distributed Optimization Infra for learning CLIP models☆26Updated 9 months ago
- ☆51Updated last year
- DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)☆31Updated 2 years ago
- Structured Pruning Adapters in PyTorch☆18Updated last year