Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learningby Donghu Kim, Hojoon Lee, Kyungmin Lee,…
On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaborationby Guanghui…
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Modelsby Zichun Yu, Spandan Das,…
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representationsby Sravanti Addepalli, Priyam Dey,…
Unified Text-to-Image Generation and Retrievalby Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li,…
What Can We Learn from State Space Models for Machine Learning on Graphs?by Yinan Huang,…
Symmetric Matrix Completion with ReLU Samplingby Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura…
Attention as a Hypernetworkby Simon Schug, Seijin Kobayashi, Yassir Akram, João Sacramento, Razvan PascanuFirst submitted…
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detectionby Wei Li, Pin-Yu Chen, Sijia Liu, Ren WangFirst…
Scaling Graph Convolutions for Mobile Visionby William Avery, Mustafa Munir, Radu MarculescuFirst submitted to arxiv…