From the 1 of 5 linked papers with an AI index.
5 papers
DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery
Peiyan Gu, Zixin Teng, Xuming He
The paper introduces DP-BOA, an online decision framework that uses a Dirichlet-process Gaussian mixture model to explicitly decide whether to assign a test sample to an existing c…
SPOT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering
Chuyu Zhang, Hui Ren, Xuming He
Deep clustering, which learns representation and semantic clustering without labels information, poses a great challenge for deep learning-based approaches. Despite significant pro…
Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery
Chuyu Zhang, Xueyang Yu, Peiyan Gu +1
This paper addresses the problem of Rehearsal-Free Continual Category Discovery (RF-CCD), which focuses on continuously identifying novel class by leveraging knowledge from labeled…
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang, Peiyan Gu, Xueyang Yu +1
We tackle the generalized category discovery (GCD) problem, which aims to discover novel classes in unlabeled datasets by leveraging the knowledge of known classes. Previous works…
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
Chuyu Zhang, Songyang Zhang, Yingfan Hu +8
While LLM-Based agents, which use external tools to solve complex problems, have made significant progress, benchmarking their ability is challenging, thereby hindering a clear und…