Yo @elonmusk 1500 per month is a bit too less for this account to tweet papers published everyday in arxiv's LG (AI) sub-topic. 3000 would be just enough :) People want this!

Expressive Monotonic Neural Networks. Ouail Kitouni, Niklas Nolte, and Michael Williams

MGit: A Model Versioning and Management System. Wei Hao, Daniel Mendoza, Rafael da Silva, Deepak Narayanan, and Amar Phanishaye

Brain Tumor Detection using Convolutional Neural Networks with Skip Connections. Aupam Hamran, Marzieh Vaeztourshizi, Amirhossein Esmaili, and Massoud Pedram

PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. Dapeng Hu, Jian Liang, Xinchao Wang, and Chuan-Sheng Foo

DreamTeacher: Pretraining Image Backbones with Deep Generative Models. Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, and Sanja Fidler

Population Expansion for Training Language Models with Private Federated Learning. Tatsuki Koga, Congzheng Song, Martin Pelikan, and Mona Chitnis

Structured Pruning of Neural Networks for Constraints Learning. Matteo Cacciola, Antonio Frangioni, and Andrea Lodi

Generative adversarial networks for data-scarce spectral applications. Juan José García-Esteban, Juan Carlos Cuevas, and Jorge Bravo-Abad

Differentially Private Clustering in Data Streams. Alessandro Epasto, Tamalika Mukherjee, and Peilin Zhong

Can Large Language Models Empower Molecular Property Prediction?. Chen Qian, Huayi Tang, Zhirui Yang, Hong Liang, and Yong Liu

Atlas-Based Interpretable Age Prediction. Sophie Starck, Yadunandan Vivekanand Kini, Jessica Johanna Maria Ritter, Rickmer Braren, Daniel Rueckert, and Tamara Mueller

Exploiting Counter-Examples for Active Learning with Partial labels. Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, and Bo Han

HuCurl: Human-induced Curriculum Discovery. Mohamed Elgaar and Hadi Amiri

Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. Antesh Upadhyay and Abolfazl Hashemi

Performance of $\ell_1$ Regularization for Sparse Convex Optimization. Kyriakos Axiotis and Taisuke Yasuda

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, and Tieniu Tan

Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations. Thibault Marette, Pauli Miettinen, and Stefan Neumann

Learning Sparse Neural Networks with Identity Layers. Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, and Yonghong Tian

Higher-order topological kernels via quantum computation. Massimiliano Incudini, Francesco Martini, and Alessandra Di Pierro

Composition-contrastive Learning for Sentence Embeddings. Sachin J. Chanchani and Ruihong Huang