DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptionsby Sammy Christen, Shreyas Hampali, Fadime Sener,…
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstructionby Hrishav Bakul Barua, Kalin Stefanov, KokSheik…
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learningby Shijie Na, Yuzhi Liang,…
Mechanistic Design and Scaling of Hybrid Architecturesby Michael Poli, Armin W Thomas, Eric Nguyen, Pragaash…
Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip…
Counterfactual Fairness through Transforming Data Orthogonal to Biasby Shuyi Chen, Shixiang ZhuFirst submitted to arxiv…
Empowering Data Mesh with Federated Learningby Haoyuan Li, Salman ToorFirst submitted to arxiv on: 26…
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logicby Connor Pryor,…
Neural Embedding Compression For Efficient Multi-Task Earth Observation Modellingby Carlos Gomes, Thomas BrunschwilerFirst submitted to…
The Unreasonable Ineffectiveness of the Deeper Layersby Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso,…