Summary of Decomposable Transformer Point Processes, by Aristeidis Panos
Decomposable Transformer Point Processesby Aristeidis PanosFirst submitted to arxiv on: 26 Sep 2024CategoriesMain: Machine Learning…
Summary of Efficient Arbitrary Precision Acceleration For Large Language Models on Gpu Tensor Cores, by Shaobo Ma et al.
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Coresby Shaobo Ma, Chao…
Summary of Adaptive Stream Processing on Edge Devices Through Active Inference, by Boris Sedlak et al.
Adaptive Stream Processing on Edge Devices through Active Inferenceby Boris Sedlak, Victor Casamayor Pujol, Andrea…
Summary of Ifcap: Image-like Retrieval and Frequency-based Entity Filtering For Zero-shot Captioning, by Soeun Lee et al.
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioningby Soeun Lee, Si-Woo Kim, Taewhan…
Summary of Recent Advances in Interpretable Machine Learning Using Structure-based Protein Representations, by Luiz Felipe Vecchietti et al.
Recent advances in interpretable machine learning using structure-based protein representationsby Luiz Felipe Vecchietti, Minji Lee,…
Summary of Conjugate Bayesian Two-step Change Point Detection For Hawkes Process, by Zeyue Zhang et al.
Conjugate Bayesian Two-step Change Point Detection for Hawkes Processby Zeyue Zhang, Xiaoling Lu, Feng ZhouFirst…
Summary of Zeroth-order Policy Gradient For Reinforcement Learning From Human Feedback Without Reward Inference, by Qining Zhang et al.
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inferenceby Qining Zhang, Lei…
Summary of Rejection Sampling Imle: Designing Priors For Better Few-shot Image Synthesis, by Chirag Vashist et al.
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesisby Chirag Vashist, Shichong Peng, Ke…
Summary of Discovering the Gems in Early Layers: Accelerating Long-context Llms with 1000x Input Token Reduction, by Zhenmei Shi et al.
Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reductionby Zhenmei…
Summary of Maskllm: Learnable Semi-structured Sparsity For Large Language Models, by Gongfan Fang et al.
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Modelsby Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg…