RadioActive: 3D Radiological Interactive Segmentation Benchmarkby Constantin Ulrich, Tassilo Wald, Emily Tempus, Maximilian Rokuss, Paul…
A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Databy Devansh Gupta, A.S.…
Doubly Mild Generalization for Offline Reinforcement Learningby Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang,…
Learning Memory Mechanisms for Decision Making through Demonstrationsby William Yue, Bo Liu, Peter StoneFirst submitted…
Towards Low-bit Communication for Tensor Parallel LLM Inferenceby Harry Dong, Tyler Johnson, Minsik Cho, Emad…
Tukey g-and-h neural network regression for non-Gaussian databy Arthur P. Guillaumin, Natalia EfremovaFirst submitted to…
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradientsby Satish Kumar Keshri, Nazreen…
Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curvesby Shashank Manjunath, Hau-Tieng Wu,…
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalizationby Davide Buffelli, Jamie McGowan,…
Derivational Morphology Reveals Analogical Generalization in Large Language Modelsby Valentin Hofmann, Leonie Weissweiler, David Mortensen,…