Summary of Transformers Are Expressive, but Are They Expressive Enough For Regression?, by Swaroop Nath et al.
Transformers are Expressive, But Are They Expressive Enough for Regression?by Swaroop Nath, Harshad Khadilkar, Pushpak…
Summary of Transflower: An Explainable Transformer-based Model with Flow-to-flow Attention For Commuting Flow Prediction, by Yan Luo et al.
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Predictionby Yan Luo, Zhuoyue…
Summary of Semi-supervised Counting Via Pixel-by-pixel Density Distribution Modelling, by Hui Lin and Zhiheng Ma and Rongrong Ji and Yaowei Wang and Zhou Su and Xiaopeng Hong and Deyu Meng
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modellingby Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang,…
Summary of Arabiangpt: Native Arabic Gpt-based Large Language Model, by Anis Koubaa et al.
ArabianGPT: Native Arabic GPT-based Large Language Modelby Anis Koubaa, Adel Ammar, Lahouari Ghouti, Omar Najar,…
Summary of Spatially-aware Transformer For Embodied Agents, by Junmo Cho et al.
Spatially-Aware Transformer for Embodied Agentsby Junmo Cho, Jaesik Yoon, Sungjin AhnFirst submitted to arxiv on:…
Summary of Fiducial Focus Augmentation For Facial Landmark Detection, by Purbayan Kar et al.
Fiducial Focus Augmentation for Facial Landmark Detectionby Purbayan Kar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik,…
Summary of Multimodal Transformer with a Low-computational-cost Guarantee, by Sungjin Park and Edward Choi
Multimodal Transformer With a Low-Computational-Cost Guaranteeby Sungjin Park, Edward ChoiFirst submitted to arxiv on: 23…
Summary of In-context Learning Of a Linear Transformer Block: Benefits Of the Mlp Component and One-step Gd Initialization, by Ruiqi Zhang et al.
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD…
Summary of Asynchronous and Segmented Bidirectional Encoding For Nmt, by Jingpu Yang et al.
Asynchronous and Segmented Bidirectional Encoding for NMTby Jingpu Yang, Zehua Han, Mengyu Xiang, Helin Wang,…
Summary of How Transformers Learn Causal Structure with Gradient Descent, by Eshaan Nichani et al.
How Transformers Learn Causal Structure with Gradient Descentby Eshaan Nichani, Alex Damian, Jason D. LeeFirst…