Asia
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition Wei He, Kai Han
The development of foundation vision models has pushed the general visual recognition to a high level, but cannot well address the fine-grained recognition in specialized domain such as invasive species classification. Identifying and managing invasive species has strong social and ecological value.
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
This paper considers problems of multi-armed bandits with expert advice (MwE) [Auer et al.,
A Unified, Scalable Framework for Neural Population Decoding
Unlike the case for text--wherein every document written in a given language shares a basic lexicon for tokenization--there is no one-to-one correspondence between neurons in different individuals.
REx: Data-Free Residual Quantization Error Expansion
Deep neural networks (DNNs) are ubiquitous in computer vision and natural language processing, but suffer from high inference cost.
Optimizing over trained GNNs via symmetry breaking
Although GNNs are powerful tools for these "forward" prediction tasks, few works discuss the "backward" (or inverse) problem defined on trained GNNs.
KuaiSim: A Comprehensive Simulator for Recommender Systems
KuaiRand Dataset and compare them against KuaiSim to further assess their performance and behavioral differences.
A Novel Approach for Eff ective Multi-View Clustering with Information-Theoretic Perspective
Multi-view clustering (MVC) is a popular technique for improving clustering performance using various data sources.
