OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learningby Wei-Cheng Huang, Chun-Fu Chen, Hsiang…
DistiLLM: Towards Streamlined Distillation for Large Language Modelsby Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young…
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learningby Idan Achituve, Idit Diamant, Arnon Netzer, Gal…
RevOrder: A Novel Method for Enhanced Arithmetic in Language Modelsby Si Shen, Peijun Shen, Danhao…
Transductive Reward Inference on Graphby Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W.…
Symbol Correctness in Deep Neural Networks Containing Symbolic Layersby Aaron Bembenek, Toby MurrayFirst submitted to…
Statistical Test for Anomaly Detections by Variational Auto-Encodersby Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le…
Neural Network Approximators for Marginal MAP in Probabilistic Circuitsby Shivvrat Arya, Tahrima Rahman, Vibhav GogateFirst…
IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR imagesby Vincent Roca, Grégory…
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesisby Bernard Spiegl, Andrea Perin, Stéphane Deny,…