Summary of Mixtures Of Experts Unlock Parameter Scaling For Deep Rl, by Johan Obando-ceron et al.
Mixtures of Experts Unlock Parameter Scaling for Deep RLby Johan Obando-Ceron, Ghada Sokar, Timon Willi,…
Summary of Prdp: Proximal Reward Difference Prediction For Large-scale Reward Finetuning Of Diffusion Models, by Fei Deng et al.
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Modelsby Fei Deng, Qifei…
Summary of Prompted Contextual Vectors For Spear-phishing Detection, by Daniel Nahmias et al.
Prompted Contextual Vectors for Spear-Phishing Detectionby Daniel Nahmias, Gal Engelberg, Dan Klein, Asaf ShabtaiFirst submitted…
Summary of Llaga: Large Language and Graph Assistant, by Runjin Chen et al.
LLaGA: Large Language and Graph Assistantby Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang…
Summary of Implicit Bias Of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States, by Noam Razin et al.
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial Statesby Noam…
Summary of Graph Structure Inference with Bam: Introducing the Bilinear Attention Mechanism, by Philipp Froehlich and Heinz Koeppl
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanismby Philipp Froehlich, Heinz KoepplFirst submitted…
Summary of Empowering Federated Learning For Massive Models with Nvidia Flare, by Holger R. Roth et al.
Empowering Federated Learning for Massive Models with NVIDIA FLAREby Holger R. Roth, Ziyue Xu, Yuan-Ting…
Summary of Only the Curve Shape Matters: Training Foundation Models For Zero-shot Multivariate Time Series Forecasting Through Next Curve Shape Prediction, by Cheng Feng et al.
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through…
Summary of Contrastive Multiple Instance Learning For Weakly Supervised Person Reid, by Jacob Tyo and Zachary C. Lipton
Contrastive Multiple Instance Learning for Weakly Supervised Person ReIDby Jacob Tyo, Zachary C. LiptonFirst submitted…
Summary of One Train For Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning, by Haozhen Zhang et al.
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learningby Haozhen…