Summary of A Dynamical Model Of Neural Scaling Laws, by Blake Bordelon et al.
A Dynamical Model of Neural Scaling Lawsby Blake Bordelon, Alexander Atanasov, Cengiz PehlevanFirst submitted to…
A Dynamical Model of Neural Scaling Lawsby Blake Bordelon, Alexander Atanasov, Cengiz PehlevanFirst submitted to…
How many views does your deep neural network use for prediction?by Keisuke Kawano, Takuro Kutsuna,…
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governanceby Wenqi Wei, Ling LiuFirst submitted to arxiv…
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descentby Luca Della…
A Survey for Foundation Models in Autonomous Drivingby Haoxiang Gao, Zhongruo Wang, Yaqian Li, Kaiwen…
Compositional Generative Modeling: A Single Model is Not All You Needby Yilun Du, Leslie KaelblingFirst…
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutionsby Pouya Pezeshkpour, Eser Kandogan, Nikita…
Simulation of Graph Algorithms with Looped Transformersby Artur Back de Luca, Kimon FountoulakisFirst submitted to…
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attackby Tiansheng Huang, Sihao Hu,…
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraintsby Dan Qiao, Yu-Xiang WangFirst submitted to arxiv…