Category Research Papers

[Submitted on 10 Oct 2023 (v1), last revised 6 Sep 2024 (this version, v2)] View a PDF of the paper titled A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification, by Giulio Giacomuzzos and 3…

[Submitted on 23 Aug 2024 (v1), last revised 6 Sep 2024 (this version, v2)] Authors:Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song…

[Submitted on 28 Aug 2024 (v1), last revised 5 Sep 2024 (this version, v2)] View a PDF of the paper titled More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding, by Yuan Tang and 7 other authors View PDF HTML…

[Submitted on 21 Nov 2023 (v1), last revised 5 Sep 2024 (this version, v4)] View a PDF of the paper titled Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation, by Supreeth Mysore Venkatesh and 4 other authors View PDF HTML (experimental) Abstract:We…

arXiv:2409.03734v1 Announce Type: cross Abstract: Emerging marketplaces for large language models and other large-scale machine learning (ML) models appear to exhibit market concentration, which has raised concerns about whether there are insurmountable barriers to entry in such markets. In this…

[Submitted on 11 Mar 2024 (v1), last revised 5 Sep 2024 (this version, v2)] View a PDF of the paper titled Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications, by Can Cui (MULTISPEECH) and 3 other authors View…

[Submitted on 2 Feb 2024 (v1), last revised 5 Sep 2024 (this version, v4)] View a PDF of the paper titled A Survey for Foundation Models in Autonomous Driving, by Haoxiang Gao and Zhongruo Wang and Yaqian Li and Kaiwen…

[Submitted on 1 Jun 2023 (v1), last revised 5 Sep 2024 (this version, v4)] View a PDF of the paper titled Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization, by Navid Ansari and 4 other authors View PDF HTML (experimental) Abstract:Bayesian optimization…

arXiv:2409.03757v1 Announce Type: cross Abstract: Complex 3D scene understanding has gained increasing attention, with scene encoding strategies playing a crucial role in this success. However, the optimal scene encoding strategies for various scenarios remain unclear, particularly compared to their image-based…

arXiv:2409.03237v1 Announce Type: cross Abstract: Recently, there has been a surge of interest in analyzing the non-asymptotic behavior of model-free reinforcement learning algorithms. However, the performance of such algorithms in non-ideal environments, such as in the presence of corrupted rewards,…

[Submitted on 3 Jun 2024 (v1), last revised 4 Sep 2024 (this version, v2)] View a PDF of the paper titled Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings, by Hiroaki Yamagiwa and 7 other authors View PDF HTML…

[Submitted on 5 Jun 2024 (v1), last revised 5 Sep 2024 (this version, v2)] View a PDF of the paper titled Giving each task what it needs — leveraging structured sparsity for tailored multi-task learning, by Richa Upadhyay and 3…