Limits of Transformer Language Models on Learning to Compose Algorithms
- Jonathan Thomm
- Giacomo Camposampiero
- et al.
- 2024
- NeurIPS 2024
Conference paper
Publications
1650 results for Machine Learning
A TWO-SCALE COMPLEXITY MEASURE FOR DEEP LEARNING MODELS
- Massimiliano Datres
- Gian Paolo Leonardi
- et al.
- 2024
- NeurIPS 2024
Conference paperAbstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
Conference paperReversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
PosterTowards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
PosterVector Quantization with Sorting Transformation
- Hongzhi Wang
- Tanveer Syeda-Mahmood
- 2024
- NeurIPS 2024
Workshop paperA Mamba-Based Foundation Model for Chemistry
- Emilio Ashton Vital Brazil
- Eduardo Almeida Soares
- et al.
- 2024
- NeurIPS 2024
Workshop paperModern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations
- 2024
- NeurIPS 2024
Workshop paperTowards Unbiased Evaluation of Time-series Anomaly Detector
- Debarpan Bhattacharya
- Sumanta Mukherjee
- 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