Summary of Improving Generalization Of Deep Neural Networks by Optimum Shifting, By Yuyan Zhou et al.
Improving Generalization of Deep Neural Networks by Optimum Shiftingby Yuyan Zhou, Ye Li, Lei Feng,…
Summary of Text-to-model: Text-conditioned Neural Network Diffusion For Train-once-for-all Personalization, by Zexi Li et al.
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalizationby Zexi Li, Lingzhi Gao, Chao WuFirst submitted…
Summary of Towards a Unified Framework For Evaluating Explanations, by Juan D. Pinto et al.
Towards a Unified Framework for Evaluating Explanationsby Juan D. Pinto, Luc PaquetteFirst submitted to arxiv…
Summary of Attention As An Rnn, by Leo Feng et al.
Attention as an RNNby Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio,…
Summary of Learning to Play Atari Games Using Dueling Q-learning and Hebbian Plasticity, by Md Ashfaq Salehin
Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticityby Md Ashfaq SalehinFirst submitted…
Summary of Infinite-dimensional Feature Interaction, by Chenhui Xu et al.
Infinite-Dimensional Feature Interactionby Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong,…
Summary of Transformers Can Learn Temporal Difference Methods For In-context Reinforcement Learning, by Jiuqi Wang et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learningby Jiuqi Wang, Ethan Blaser, Hadi…
Summary of Koopcon: a New Approach Towards Smarter and Less Complex Learning, by Vahid Jebraeeli et al.
Koopcon: A new approach towards smarter and less complex learningby Vahid Jebraeeli, Bo Jiang, Derya…
Summary of Leader Reward For Pomo-based Neural Combinatorial Optimization, by Chaoyang Wang et al.
Leader Reward for POMO-Based Neural Combinatorial Optimizationby Chaoyang Wang, Pengzhi Cheng, Jingze Li, Weiwei SunFirst…
Summary of Control, Transport and Sampling: Towards Better Loss Design, by Qijia Jiang et al.
Control, Transport and Sampling: Towards Better Loss Designby Qijia Jiang, David NabergojFirst submitted to arxiv…