Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework…
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decompositionby Yuta Saito, Jihan Yao,…
SubGen: Token Generation in Sublinear Time and Memoryby Amir Zandieh, Insu Han, Vahab Mirrokni, Amin…
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responsesby Adel Javanmard, Matthew Fahrbach, Vahab MirrokniFirst…
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Predictionby Tobias Clement, Hung…
Group Distributionally Robust Dataset Distillation with Risk Minimizationby Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav…
Scalable Multi-view Clustering via Explicit Kernel Features Mapsby Chakib Fettal, Lazhar Labiod, Mohamed NadifFirst submitted…
The VampPrior Mixture Modelby Andrew A. Stirn, David A. KnowlesFirst submitted to arxiv on: 6…
Exploring higher-order neural network node interactions with total correlationby Thomas Kerby, Teresa White, Kevin MoonFirst…