47 citations · 76 across the 5 of their papers we have counts for
5 papers
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Yuxuan Cai, Xiyu Wang, Satoshi Tsutsui +2
Concept Bottleneck Models (CBMs) aim to enhance interpretability by predicting human-understandable concepts as intermediates for decision-making. However, these models often face…
High-Performance Temporal Reversible Spiking Neural Networks with Training Memory and Inference Cost
JiaKui Hu, Man Yao, Xuerui Qiu +6
Multi-timestep simulation of brain-inspired Spiking Neural Networks (SNNs) boost memory requirements during training and increase inference energy cost. Current training methods ca…
Yi: Open Foundation Models by 01.AI
01. AI, :, Alex Young +30
We introduce the Yi model family, a series of language and multimodal models that demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B pret…
RevColV2: Exploring Disentangled Representations in Masked Image Modeling
Qi Han, Yuxuan Cai, Xiangyu Zhang
Masked image modeling (MIM) has become a prevalent pre-training setup for vision foundation models and attains promising performance. Despite its success, existing MIM methods disc…
Reversible Column Networks
Yuxuan Cai, Yizhuang Zhou, Qi Han +4
We propose a new neural network design paradigm Reversible Column Network (RevCol). The main body of RevCol is composed of multiple copies of subnetworks, named columns respectivel…