A TWO-SCALE COMPLEXITY MEASURE FOR DEEP LEARNING MODELS
- Massimiliano Datres
- Gian Paolo Leonardi
- et al.
- 2024
- NeurIPS 2024
Publications
1512 results for Machine Learning
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- Quoc Tran-Dinh
- Trang H. Tran
- et al.
- 2024
- NeurIPS 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- Tomoya Sakai
- Haoxiang Qiu
- et al.
- 2024
- NeurIPS 2024
Probabilistic Federated Prompt-Tuning in Data Imbalance Settings
- Pei-yau Weng
- Minh Hoang
- et al.
- 2024
- NeurIPS 2024
Dense Associative Memory Through the Lens of Random Features
- Benjamin Hoover
- Duen Horng Chau
- 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
Limits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Giacomo Camposampiero
- 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