123 citations · 138 across the 16 of their papers we have counts for
5 papers · 2 filters
HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing
Minghui Liu, Tahseen Rabbani, Tony O'Halloran +5
Transformer-based large language models (LLMs) use the key-value (KV) cache to significantly accelerate inference by storing the key and value embeddings of past tokens. However, t…
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
Al Zadid Sultan Bin Habib, Kesheng Wang, Mary-Anne Hartley +2
Effective analysis of tabular data still poses a significant problem in deep learning, mainly because features in tabular datasets are often heterogeneous and have different levels…
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
Ling Han, Hao Huang, Dustin Scheinost +2
Effective adaptation to distribution shifts in training data is pivotal for sustaining robustness in neural networks, especially when removing specific biases or outdated informati…
Towards Independence Criterion in Machine Unlearning of Features and Labels
Ling Han, Nanqing Luo, Hao Huang +2
This work delves into the complexities of machine unlearning in the face of distributional shifts, particularly focusing on the challenges posed by non-uniform feature and label re…
TimEHR: Image-based Time Series Generation for Electronic Health Records
Hojjat Karami, Mary-Anne Hartley, David Atienza +1
Time series in Electronic Health Records (EHRs) present unique challenges for generative models, such as irregular sampling, missing values, and high dimensionality. In this paper,…