Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distancesby Jannis Chemseddine, Paul Hagemann, Christian WaldFirst submitted…
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature…
COPR: Continual Learning Human Preference through Optimal Policy Regularizationby Han Zhang, Lin Gui, Yuanzhao Zhai,…
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transformsby Qingyu Wang, Duzhen Zhang, Tielin Zhang,…
Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Databy Anup Shakya, Vasile…
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Databy Junyao Wang, Luke Chen, Mohammad Abdullah…
ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learningby Biagio Montaruli, Giuseppe Floris, Christian Scano,…
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGAby Hongxiang Fan, Hao Chen,…
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bankby Zhanyu Liu, Guanjie Zheng, Yanwei YuFirst submitted…
The Local Learning Coefficient: A Singularity-Aware Complexity Measureby Edmund Lau, Zach Furman, George Wang, Daniel…