Summary of Legent: Open Platform For Embodied Agents, by Zhili Cheng et al.
LEGENT: Open Platform for Embodied Agentsby Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An…
Summary of Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment, by Tengjun Huang
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignmentby Tengjun HuangFirst submitted to arxiv…
Summary of Parameter-efficient Tuning Large Language Models For Graph Representation Learning, by Qi Zhu et al.
Parameter-Efficient Tuning Large Language Models for Graph Representation Learningby Qi Zhu, Da Zheng, Xiang Song,…
Summary of Kernel Corrector Lstm, by Rodrigo Tuna et al.
Kernel Corrector LSTMby Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-MoreiraFirst submitted to arxiv on:…
Summary of Joint Energy and Latency Optimization in Federated Learning Over Cell-free Massive Mimo Networks, by Afsaneh Mahmoudi et al.
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networksby Afsaneh Mahmoudi,…
Summary of Using Deep Q-learning to Dynamically Toggle Between Push/pull Actions in Computational Trust Mechanisms, by Zoi Lygizou and Dimitris Kalles
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanismsby Zoi Lygizou,…
Summary of Towards Incremental Learning in Large Language Models: a Critical Review, by Mladjan Jovanovic and Peter Voss
Towards Incremental Learning in Large Language Models: A Critical Reviewby Mladjan Jovanovic, Peter VossFirst submitted…
Summary of Diresa, a Distance-preserving Nonlinear Dimension Reduction Technique Based on Regularized Autoencoders, by Geert De Paepe et al.
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencodersby Geert De Paepe, Lesley…
Summary of Position: Do Not Explain Vision Models Without Context, by Paulina Tomaszewska et al.
Position: Do Not Explain Vision Models Without Contextby Paulina Tomaszewska, Przemysław BiecekFirst submitted to arxiv…
Summary of Safe-rl: Saliency-aware Counterfactual Explainer For Deep Reinforcement Learning Policies, by Amir Samadi et al.
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policiesby Amir Samadi, Konstantinos Koufos, Kurt Debattista,…