Summary of Onlyflow: Optical Flow Based Motion Conditioning For Video Diffusion Models, by Mathis Koroglu et al.
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Modelsby Mathis Koroglu, Hugo Caselles-Dupré, Guillaume…
Summary of Guided Learning: Lubricating End-to-end Modeling For Multi-stage Decision-making, by Jian Guo et al.
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-makingby Jian Guo, Saizhuo Wang, Yiyan QiFirst submitted…
Summary of Artificial Intelligence For Infectious Disease Prediction and Prevention: a Comprehensive Review, by Selestine Melchane et al.
Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Reviewby Selestine Melchane, Youssef Elmir,…
Summary of Everything Is a Video: Unifying Modalities Through Next-frame Prediction, by G. Thomas Hudson et al.
Everything is a Video: Unifying Modalities through Next-Frame Predictionby G. Thomas Hudson, Dean Slack, Thomas…
Summary of Redtest: Towards Measuring Redundancy in Deep Neural Networks Effectively, by Yao Lu et al.
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectivelyby Yao Lu, Peixin Zhang, Jingyi Wang,…
Summary of Tesgnn: Temporal Equivariant Scene Graph Neural Networks For Efficient and Robust Multi-view 3d Scene Understanding, by Quang P. M. Pham et al.
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understandingby…
Summary of Smoothcache: a Universal Inference Acceleration Technique For Diffusion Transformers, by Joseph Liu et al.
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformersby Joseph Liu, Joshua Geddes, Ziyu Guo,…
Summary of On the Privacy Risk Of In-context Learning, by Haonan Duan et al.
On the Privacy Risk of In-context Learningby Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot,…
Summary of Does Prompt Formatting Have Any Impact on Llm Performance?, by Jia He et al.
Does Prompt Formatting Have Any Impact on LLM Performance?by Jia He, Mukund Rungta, David Koleczek,…
Summary of Softlms: Efficient Adaptive Low-rank Approximation Of Language Models Using Soft-thresholding Mechanism, by Priyansh Bhatnagar et al.
SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanismby Priyansh Bhatnagar, Linfeng Wen,…