Dense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- et al.
- 2024
- NeurIPS 2024
Conference paper
Publications
1671 results for Machine Learning
Geometry of naturalistic object representations in recurrent neural network models of working memory
- Xiaoxuan Lei
- Taku Ito
- et al.
- 2024
- NeurIPS 2024
Conference paperLimits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Giacomo Camposampiero
- et al.
- 2024
- NeurIPS 2024
Conference paperNeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2024
- NeurIPS 2024
Conference paperTowards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
PosterReversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
PosterOn the role of noise in factorizers for disentangling distributed representations
- Kumudu Geethan Karunaratne
- Michael Hersche
- et al.
- 2024
- NeurIPS 2024
Workshop paperMESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees
- Ryan Zhang
- Herbert Woisetschläger
- et al.
- 2024
- NeurIPS 2024
Workshop paperA Mamba-Based Foundation Model for Chemistry
- Emilio Ashton Vital Brazil
- Eduardo Almeida Soares
- et al.
- 2024
- NeurIPS 2024
Workshop paperRecurrent Transformers Trade-off Parallelism for Length Generalization on Regular Languages
- Paul Soulos
- Aleksandar Terzic
- et al.
- 2024
- NeurIPS 2024
Workshop paper