Towards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
Publications
Date
Featured collections
- NeurIPS 2024
Popular topics
80 results at NeurIPS 2024
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- Hadjer Benmeziane
- Corey Liam Lammie
- et al.
- 2024
- NeurIPS 2024
Recurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
- Ismail Erbas
- Vikas Pandey
- et al.
- 2024
- NeurIPS 2024
Vector Quantization with Sorting Transformation
- Hongzhi Wang
- Tanveer Syeda-Mahmood
- 2024
- NeurIPS 2024
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
- Ryan Zhang
- Herbert Woisetschläger
- et al.
- 2024
- NeurIPS 2024
Better Bias Benchmarking of Language Models via Multi-factor Analysis
- Hannah Powers
- Ioana Baldini Soares
- et al.
- 2024
- NeurIPS 2024
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory
- Bao Pham
- Gabriel Raya
- et al.
- 2024
- NeurIPS 2024
A Large Encoder-Decoder Polymer-Based Foundation Model
- 2024
- NeurIPS 2024