FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentationby Tong…
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraintsby Kareem Ahmed, Kai-Wei Chang, Guy Van…
Conditional Prompt Tuning for Multimodal Fusionby Ruixiang Jiang, Lingbo Liu, Changwen ChenFirst submitted to arxiv…
Controlling Continuous Relaxation for Combinatorial Optimizationby Yuma IchikawaFirst submitted to arxiv on: 29 Sep 2023CategoriesMain:…
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasksby Hao Chen, Jindong Wang,…
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognosticsby Gaurav Shinde, Rohan Mohapatra, Pooja…
Compressing LLMs: The Truth is Rarely Pure and Never Simpleby Ajay Jaiswal, Zhe Gan, Xianzhi…
Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptationby Shivang Chopra, Suraj Kothawade,…
Who’s Harry Potter? Approximate Unlearning in LLMsby Ronen Eldan, Mark RussinovichFirst submitted to arxiv on:…
How the level sampling process impacts zero-shot generalisation in deep reinforcement learningby Samuel Garcin, James…