Summary of An Image Is Worth More Than 16×16 Patches: Exploring Transformers on Individual Pixels, by Duy-kien Nguyen et al.
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixelsby Duy-Kien Nguyen,…
Summary of Towards An Improved Understanding and Utilization Of Maximum Manifold Capacity Representations, by Rylan Schaeffer et al.
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representationsby Rylan Schaeffer, Victor Lecomte,…
Summary of Consistdreamer: 3d-consistent 2d Diffusion For High-fidelity Scene Editing, by Jun-kun Chen et al.
ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editingby Jun-Kun Chen, Samuel Rota Bulò, Norman Müller,…
Summary of Self-supervised Speech Representations Are More Phonetic Than Semantic, by Kwanghee Choi et al.
Self-Supervised Speech Representations are More Phonetic than Semanticby Kwanghee Choi, Ankita Pasad, Tomohiko Nakamura, Satoru…
Summary of Graphfm: a Comprehensive Benchmark For Graph Foundation Model, by Yuhao Xu et al.
GraphFM: A Comprehensive Benchmark for Graph Foundation Modelby Yuhao Xu, Xinqi Liu, Keyu Duan, Yi…
Summary of When Is An Embedding Model More Promising Than Another?, by Maxime Darrin et al.
When is an Embedding Model More Promising than Another?by Maxime Darrin, Philippe Formont, Ismail Ben…
Summary of Visual Representation Learning with Stochastic Frame Prediction, by Huiwon Jang et al.
Visual Representation Learning with Stochastic Frame Predictionby Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin,…
Summary of Signmusketeers: An Efficient Multi-stream Approach For Sign Language Translation at Scale, by Shester Gueuwou et al.
SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scaleby Shester Gueuwou, Xiaodan Du,…
Summary of Graph-based Bidirectional Transformer Decision Threshold Adjustment Algorithm For Class-imbalanced Molecular Data, by Nicole Hayes et al.
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Databy Nicole Hayes, Ekaterina Merkurjev,…
Summary of Profeat: Projected Feature Adversarial Training For Self-supervised Learning Of Robust Representations, by Sravanti Addepalli et al.
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representationsby Sravanti Addepalli, Priyam Dey,…