Summary of Linear Mode Connectivity in Differentiable Tree Ensembles, by Ryuichi Kanoh et al.
Linear Mode Connectivity in Differentiable Tree Ensemblesby Ryuichi Kanoh, Mahito SugiyamaFirst submitted to arxiv on:…
Summary of Integer Scale: a Free Lunch For Faster Fine-grained Quantization Of Llms, by Qingyuan Li et al.
Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMsby Qingyuan Li, Ran Meng,…
Summary of Neuroexplicit Diffusion Models For Inpainting Of Optical Flow Fields, by Tom Fischer and Pascal Peter and Joachim Weickert and Eddy Ilg
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fieldsby Tom Fischer, Pascal Peter, Joachim Weickert,…
Summary of Learning Constrained Markov Decision Processes with Non-stationary Rewards and Constraints, by Francesco Emanuele Stradi et al.
Learning Constrained Markov Decision Processes With Non-stationary Rewards and Constraintsby Francesco Emanuele Stradi, Anna Lunghi,…
Summary of Comera: Computing- and Memory-efficient Training Via Rank-adaptive Tensor Optimization, by Zi Yang et al.
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimizationby Zi Yang, Ziyue Liu, Samridhi Choudhary,…
Summary of State-constrained Offline Reinforcement Learning, by Charles A. Hepburn and Yue Jin and Giovanni Montana
State-Constrained Offline Reinforcement Learningby Charles A. Hepburn, Yue Jin, Giovanni MontanaFirst submitted to arxiv on:…
Summary of Endowing Interpretability For Neural Cognitive Diagnosis by Efficient Kolmogorov-arnold Networks, By Shangshang Yang et al.
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networksby Shangshang Yang, Linrui Qin, Xiaoshan…
Summary of Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models, by Marion Neumeier et al.
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Modelsby Marion Neumeier, Sebastian Dorn, Michael…
Summary of Exact Gauss-newton Optimization For Training Deep Neural Networks, by Mikalai Korbit et al.
Exact Gauss-Newton Optimization for Training Deep Neural Networksby Mikalai Korbit, Adeyemi D. Adeoye, Alberto Bemporad,…
Summary of Dynamic Graph Unlearning: a General and Efficient Post-processing Method Via Gradient Transformation, by He Zhang et al.
Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformationby He Zhang, Bang…