Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Imagesby Kyle…
Integrating Optimization Theory with Deep Learning for Wireless Network Designby Sinem Coleri, Aysun Gurur Onalan,…
Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AIby Patrick Godau, Akriti Srivastava,…
LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Informationby Ke Wang, Hong XuanFirst submitted to…
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case…
GMem: A Modular Approach for Ultra-Efficient Generative Modelsby Yi Tang, Peng Sun, Zhenglin Cheng, Tao…
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learningby Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar,…
HARP: A challenging human-annotated math reasoning benchmarkby Albert S. Yue, Lovish Madaan, Ted Moskovitz, DJ…
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VIby Abhinav Agrawal, Justin…
Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNsby Amirreza Shiralinasab Langari,…