Publications

1498 results for Machine Learning

Dense Associative Memory Through the Lens of Random Features
- - Benjamin Hoover
  - Duen Horng Chau
  - et al.
- 2024
- NeurIPS 2024
Limits of Transformer Language Models on Learning to Compose Algorithms
- - Jonathan Thomm
  - Aleksandar Terzic
  - et al.
- 2024
- NeurIPS 2024
Geometry of naturalistic object representations in recurrent neural network models of working memory
- - Xiaoxuan Lei
  - Taku Ito
  - et al.
- 2024
- NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- - Jiabao Ji
  - Yujian Liu
  - et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- - Zhaoxian Wu
  - Tayfun Gokmen
  - et al.
- 2024
- NeurIPS 2024
A Mamba-Based Foundation Model for Chemistry
- 2024
- NeurIPS 2024
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
- - Satyananda Kashyap
  - Niharika DSouza
  - et al.
- 2024
- NeurIPS 2024
On the role of noise in factorizers for disentangling distributed representations
- - Kumudu Geethan Karunaratne
  - Michael Hersche
  - et al.
- 2024
- NeurIPS 2024
Deep Clustering with Associative Memories
- - Bishwajit Saha
  - Dmitry Krotov
  - et al.
- 2024
- NeurIPS 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
- - Debarpan Bhattacharyya
  - Sumanta Mukherjee
  - et al.
- 2024
- NeurIPS 2024