Summary of Pharmacomatch: Efficient 3d Pharmacophore Screening Via Neural Subgraph Matching, by Daniel Rose et al.
PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matchingby Daniel Rose, Oliver Wieder, Thomas Seidel,…
Summary of Rate-constrained Quantization For Communication-efficient Federated Learning, by Shayan Mohajer Hamidi et al.
Rate-Constrained Quantization for Communication-Efficient Federated Learningby Shayan Mohajer Hamidi, Ali BereyhiFirst submitted to arxiv on:…
Summary of Lamp: Learnable Meta-path Guided Adversarial Contrastive Learning For Heterogeneous Graphs, by Siqing Li et al.
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphsby Siqing Li, Jin-Duk Park, Wei…
Summary of Modified Meta-thompson Sampling For Linear Bandits and Its Bayes Regret Analysis, by Hao Li et al.
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysisby Hao Li, Dong Liang,…
Summary of Improving Conditional Level Generation Using Automated Validation in Match-3 Games, by Monica Villanueva Aylagas et al.
Improving Conditional Level Generation using Automated Validation in Match-3 Gamesby Monica Villanueva Aylagas, Joakim Bergdahl,…
Summary of Double Successive Over-relaxation Q-learning with An Extension to Deep Reinforcement Learning, by Shreyas S R
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learningby Shreyas S RFirst submitted…
Summary of Connecting Concept Convexity and Human-machine Alignment in Deep Neural Networks, by Teresa Dorszewski et al.
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networksby Teresa Dorszewski, Lenka Tětková, Lorenz…
Summary of What Happens to Diffusion Model Likelihood When Your Model Is Conditional?, by Mattias Cross and Anton Ragni
What happens to diffusion model likelihood when your model is conditional?by Mattias Cross, Anton RagniFirst…
Summary of Symmetry Breaking in Neural Network Optimization: Insights From Input Dimension Expansion, by Jun-jie Zhang et al.
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansionby Jun-Jie Zhang, Nan Cheng,…
Summary of Length Desensitization in Direct Preference Optimization, by Wei Liu et al.
Length Desensitization in Direct Preference Optimizationby Wei Liu, Yang Bai, Chengcheng Han, Rongxiang Weng, Jun…