Summary of Dissecting Adversarial Robustness Of Multimodal Lm Agents, by Chen Henry Wu et al.
Dissecting Adversarial Robustness of Multimodal LM Agentsby Chen Henry Wu, Rishi Shah, Jing Yu Koh,…
Summary of Neural Approximate Mirror Maps For Constrained Diffusion Models, by Berthy T. Feng et al.
Neural Approximate Mirror Maps for Constrained Diffusion Modelsby Berthy T. Feng, Ricardo Baptista, Katherine L.…
Summary of Influence Maximization Via Graph Neural Bandits, by Yuting Feng et al.
Influence Maximization via Graph Neural Banditsby Yuting Feng, Vincent Y. F. Tan, Bogdan CautisFirst submitted…
Summary of Layermerge: Neural Network Depth Compression Through Layer Pruning and Merging, by Jinuk Kim et al.
LayerMerge: Neural Network Depth Compression through Layer Pruning and Mergingby Jinuk Kim, Marwa El Halabi,…
Summary of Lamda: Large Model Fine-tuning Via Spectrally Decomposed Low-dimensional Adaptation, by Seyedarmin Azizi et al.
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptationby Seyedarmin Azizi, Souvik Kundu, Massoud PedramFirst…
Summary of Evaluating the Design Space Of Diffusion-based Generative Models, by Yuqing Wang et al.
Evaluating the design space of diffusion-based generative modelsby Yuqing Wang, Ye He, Molei TaoFirst submitted…
Summary of Demystifying Higher-order Graph Neural Networks, by Maciej Besta et al.
Demystifying Higher-Order Graph Neural Networksby Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Grzegorz Kwasniewski, Shachar Klaiman,…
Summary of Can Go Ais Be Adversarially Robust?, by Tom Tseng et al.
Can Go AIs be adversarially robust?by Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang,…
Summary of Synergizing Foundation Models and Federated Learning: a Survey, by Shenghui Li et al.
Synergizing Foundation Models and Federated Learning: A Surveyby Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu…
Summary of Interpretable Preferences Via Multi-objective Reward Modeling and Mixture-of-experts, by Haoxiang Wang et al.
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Expertsby Haoxiang Wang, Wei Xiong, Tengyang Xie, Han…