Summary of Random Relu Neural Networks As Non-gaussian Processes, by Rahul Parhi et al.
Random ReLU Neural Networks as Non-Gaussian Processesby Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa…
Summary of Enadpool: the Edge-node Attention-based Differentiable Pooling For Graph Neural Networks, by Zhehan Zhao et al.
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networksby Zhehan Zhao, Lu Bai, Lixin…
Summary of Two-phase Dynamics Of Interactions Explains the Starting Point Of a Dnn Learning Over-fitted Features, by Junpeng Zhang et al.
Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Featuresby Junpeng…
Summary of Fine-tuning Large Vision-language Models As Decision-making Agents Via Reinforcement Learning, by Yuexiang Zhai et al.
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learningby Yuexiang Zhai, Hao Bai, Zipeng…
Summary of Partially Unitary Learning, by Mikhail Gennadievich Belov et al.
Partially Unitary Learningby Mikhail Gennadievich Belov, Vladislav Gennadievich MalyshkinFirst submitted to arxiv on: 16 May…
Summary of Hw-gpt-bench: Hardware-aware Architecture Benchmark For Language Models, by Rhea Sanjay Sukthanker et al.
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Modelsby Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron…
Summary of Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees, by Yu Gui et al.
Conformal Alignment: Knowing When to Trust Foundation Models with Guaranteesby Yu Gui, Ying Jin, Zhimei…
Summary of How Far Are We From Agi: Are Llms All We Need?, by Tao Feng et al.
How Far Are We From AGI: Are LLMs All We Need?by Tao Feng, Chuanyang Jin,…
Summary of Stochastic Q-learning For Large Discrete Action Spaces, by Fares Fourati et al.
Stochastic Q-learning for Large Discrete Action Spacesby Fares Fourati, Vaneet Aggarwal, Mohamed-Slim AlouiniFirst submitted to…
Summary of Amcen: An Attention Masking-based Contrastive Event Network For Two-stage Temporal Knowledge Graph Reasoning, by Jing Yang et al.
AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoningby Jing Yang,…