Summary of A Truly Joint Neural Architecture For Segmentation and Parsing, by Danit Yshaayahu Levi and Reut Tsarfaty
A Truly Joint Neural Architecture for Segmentation and Parsingby Danit Yshaayahu Levi, Reut TsarfatyFirst submitted…
Summary of Spatio-temporal Prompting Network For Robust Video Feature Extraction, by Guanxiong Sun et al.
Spatio-temporal Prompting Network for Robust Video Feature Extractionby Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang…
Summary of Diffeditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing, by Chong Mou et al.
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editingby Chong Mou, Xintao Wang, Jiechong Song,…
Summary of Unified Training Of Universal Time Series Forecasting Transformers, by Gerald Woo et al.
Unified Training of Universal Time Series Forecasting Transformersby Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming…
Summary of Clipformer: Key-value Clipping Of Transformers on Memristive Crossbars For Write Noise Mitigation, by Abhiroop Bhattacharjee et al.
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigationby Abhiroop Bhattacharjee, Abhishek…
Summary of Leveraging Continuously Differentiable Activation Functions For Learning in Quantized Noisy Environments, by Vivswan Shah and Nathan Youngblood
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environmentsby Vivswan Shah, Nathan YoungbloodFirst…
Summary of Dual Interior Point Optimization Learning, by Michael Klamkin et al.
Dual Interior Point Optimization Learningby Michael Klamkin, Mathieu Tanneau, Pascal Van HentenryckFirst submitted to arxiv…
Summary of Accelerating Inverse Reinforcement Learning with Expert Bootstrapping, by David Wu and Sanjiban Choudhury
Accelerating Inverse Reinforcement Learning with Expert Bootstrappingby David Wu, Sanjiban ChoudhuryFirst submitted to arxiv on:…
Summary of Fcorebench: Can Large Language Models Solve Challenging First-order Combinatorial Reasoning Problems?, by Chinmay Mittal et al.
FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?by Chinmay Mittal, Krishna Kartik,…
Summary of The Virtues Of Pessimism in Inverse Reinforcement Learning, by David Wu and Gokul Swamy and J. Andrew Bagnell and Zhiwei Steven Wu and Sanjiban Choudhury
The Virtues of Pessimism in Inverse Reinforcement Learningby David Wu, Gokul Swamy, J. Andrew Bagnell,…