Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?by Michael-Andrei Panaitescu-Liess,…
Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographicsby Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke…
Gradient-based inference of abstract task representations for generalization in neural networksby Ali Hummos, Felipe del…
Systematic Relational Reasoning With Epistemic Graph Neural Networksby Irtaza Khalid, Steven SchockaertFirst submitted to arxiv…
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inferenceby Jian…
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processesby Jingyi Gao, Seokhyun ChungFirst submitted to…
Efficient Detection of Commutative Factors in Factor Graphsby Malte Luttermann, Johann Machemer, Marcel GehrkeFirst submitted…
Diffusion Models as Optimizers for Efficient Planning in Offline RLby Renming Huang, Yunqiang Pei, Guoqing…
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Tableby Hiroyuki Tokunaga, Joel Nicholls,…
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and…