Publications

89 results at NeurIPS 2024

Limits of Transformer Language Models on Learning to Compose Algorithms
- - Jonathan Thomm
  - Giacomo Camposampiero
  - et al.
- 2024
- NeurIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
- - William Brandon
  - Mayank Mishra
  - et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- - Zhaoxian Wu
  - Tayfun Gokmen
  - 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
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- - Hadjer Benmeziane
  - Corey Liam Lammie
  - et al.
- 2024
- NeurIPS 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
- - Debarpan Bhattacharya
  - Sumanta Mukherjee
  - 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
Agentic Anomaly Detection for Shipping
- - Alexander Timms
  - Abigail Langbridge
  - 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
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?
- - Imran Nasim
  - Joao Lucas de Sousa Almeida
- 2024
- NeurIPS 2024