372 citations · 849 across the 97 of their papers we have counts for
6 papers · 1 filter
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos +1
We propose HiCL, a novel hippocampal-inspired dual-memory continual learning architecture designed to mitigate catastrophic forgetting by using elements inspired by the hippocampal…
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…
Following Instructions by Imagining and Reaching Visual Goals
John Kanu, Eadom Dessalene, Xiaomin Lin +2
While traditional methods for instruction-following typically assume prior linguistic and perceptual knowledge, many recent works in reinforcement learning (RL) have proposed learn…
Network Deconvolution
Chengxi Ye, Matthew Evanusa, Hua He +5
Convolution is a central operation in Convolutional Neural Networks (CNNs), which applies a kernel to overlapping regions shifted across the image. However, because of the strong c…
On the Importance of Consistency in Training Deep Neural Networks
Chengxi Ye, Yezhou Yang, Cornelia Fermuller +1
We explain that the difficulties of training deep neural networks come from a syndrome of three consistency issues. This paper describes our efforts in their analysis and treatment…
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning
Chengxi Ye, Chen Zhao, Yezhou Yang +2
LightNet is a lightweight, versatile and purely Matlab-based deep learning framework. The idea underlying its design is to provide an easy-to-understand, easy-to-use and efficient…