Summary of To the Max: Reinventing Reward in Reinforcement Learning, by Grigorii Veviurko et al.
To the Max: Reinventing Reward in Reinforcement Learningby Grigorii Veviurko, Wendelin Böhmer, Mathijs de WeerdtFirst…
Summary of On the Multi-modal Vulnerability Of Diffusion Models, by Dingcheng Yang et al.
On the Multi-modal Vulnerability of Diffusion Modelsby Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu,…
Summary of Two-timescale Critic-actor For Average Reward Mdps with Function Approximation, by Prashansa Panda and Shalabh Bhatnagar
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximationby Prashansa Panda, Shalabh BhatnagarFirst submitted to…
Summary of Learning Network Representations with Disentangled Graph Auto-encoder, by Di Fan et al.
Learning Network Representations with Disentangled Graph Auto-Encoderby Di Fan, Chuanhou GaoFirst submitted to arxiv on:…
Summary of Efficient Reinforcement Learning For Routing Jobs in Heterogeneous Queueing Systems, by Neharika Jali et al.
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systemsby Neharika Jali, Guannan Qu, Weina…
Summary of Limited Memory Online Gradient Descent For Kernelized Pairwise Learning with Dynamic Averaging, by Hilal Alquabeh et al.
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averagingby Hilal AlQuabeh, William…
Summary of Truncated Non-uniform Quantization For Distributed Sgd, by Guangfeng Yan et al.
Truncated Non-Uniform Quantization for Distributed SGDby Guangfeng Yan, Tan Li, Yuanzhang Xiao, Congduan Li, Linqi…
Summary of Efficient Prompt Caching Via Embedding Similarity, by Hanlin Zhu et al.
Efficient Prompt Caching via Embedding Similarityby Hanlin Zhu, Banghua Zhu, Jiantao JiaoFirst submitted to arxiv…
Summary of Conditional Normalizing Flows For Active Learning Of Coarse-grained Molecular Representations, by Henrik Schopmans et al.
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representationsby Henrik Schopmans, Pascal FriederichFirst submitted…
Summary of Few-shot Class-incremental Learning with Prior Knowledge, by Wenhao Jiang et al.
Few-Shot Class-Incremental Learning with Prior Knowledgeby Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang…