Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasksby Moritz Lange, Raphael C. Engelhardt,…
Federated Bayesian Network Ensemblesby Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo BermejoFirst submitted to…
MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sportsby…
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Samplingby Arman Adibi, Nicolo Dal Fabbro,…
Generative Kaleidoscopic Networksby Harsh ShrivastavaFirst submitted to arxiv on: 19 Feb 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?by Shubhashis…
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decodingby Hanling Yi,…
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learningby Jihai Zhang, Xiang Lan, Xiaoye Qu,…
Microstructures and Accuracy of Graph Recall by Large Language Modelsby Yanbang Wang, Hejie Cui, Jon…
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimizationby Luca D'Amico-Wong, Hugh Zhang, Marc…