Summary of Guided Sketch-based Program Induction by Search Gradients, By Ahmad Ayaz Amin
Guided Sketch-Based Program Induction by Search Gradientsby Ahmad Ayaz AminFirst submitted to arxiv on: 10…
Summary of Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement Of Utility-privacy Trade-off, by Yuecheng Li et al.
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-offby Yuecheng Li,…
Summary of Lirank: Industrial Large Scale Ranking Models at Linkedin, by Fedor Borisyuk et al.
LiRank: Industrial Large Scale Ranking Models at LinkedInby Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu…
Summary of Discriminative Adversarial Unlearning, by Rohan Sharma et al.
Discriminative Adversarial Unlearningby Rohan Sharma, Shijie Zhou, Kaiyi Ji, Changyou ChenFirst submitted to arxiv on:…
Summary of Principled Penalty-based Methods For Bilevel Reinforcement Learning and Rlhf, by Han Shen et al.
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHFby Han Shen, Zhuoran Yang, Tianyi ChenFirst…
Summary of Entropy-regularized Token-level Policy Optimization For Language Agent Reinforcement, by Muning Wen et al.
Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcementby Muning Wen, Junwei Liao, Cheng Deng, Jun…
Summary of Nice: to Optimize In-context Examples or Not?, by Pragya Srivastava et al.
NICE: To Optimize In-Context Examples or Not?by Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit SharmaFirst…
Summary of Scalable Interactive Machine Learning For Future Command and Control, by Anna Madison et al.
Scalable Interactive Machine Learning for Future Command and Controlby Anna Madison, Ellen Novoseller, Vinicius G.…
Summary of Generative Adversarial Model-based Optimization Via Source Critic Regularization, by Michael S. Yao et al.
Generative Adversarial Model-Based Optimization via Source Critic Regularizationby Michael S. Yao, Yimeng Zeng, Hamsa Bastani,…
Summary of Diffusion-es: Gradient-free Planning with Diffusion For Autonomous Driving and Zero-shot Instruction Following, by Brian Yang et al.
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Followingby Brian Yang, Huangyuan…