Summary of A Neuro-symbolic Benchmark Suite For Concept Quality and Reasoning Shortcuts, by Samuele Bortolotti et al.
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcutsby Samuele Bortolotti, Emanuele Marconato, Tommaso…
Summary of Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data, by Ziyi Zhang et al.
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Databy Ziyi Zhang, Shaogang Ren,…
Summary of Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling, by Tianxiang Zhao and Dongsheng Luo and Xiang Zhang and Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modelingby Tianxiang Zhao, Dongsheng Luo, Xiang Zhang,…
Summary of Mint: Multi-network Training For Transfer Learning on Temporal Graphs, by Kiarash Shamsi et al.
MiNT: Multi-Network Training for Transfer Learning on Temporal Graphsby Kiarash Shamsi, Tran Gia Bao Ngo,…
Summary of Adaptive Randomized Smoothing: Certified Adversarial Robustness For Multi-step Defences, by Saiyue Lyu et al.
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defencesby Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy,…
Summary of Learning Temporal Logic Predicates From Data with Statistical Guarantees, by Emi Soroka et al.
Learning Temporal Logic Predicates from Data with Statistical Guaranteesby Emi Soroka, Rohan Sinha, Sanjay LallFirst…
Summary of Binary Reward Labeling: Bridging Offline Preference and Reward-based Reinforcement Learning, by Yinglun Xu et al.
Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learningby Yinglun Xu, David Zhu, Rohan…
Summary of Cryospin: Improving Ab-initio Cryo-em Reconstruction with Semi-amortized Pose Inference, by Shayan Shekarforoush et al.
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inferenceby Shayan Shekarforoush, David B. Lindell, Marcus…
Summary of Dcilp: a Distributed Approach For Large-scale Causal Structure Learning, by Shuyu Dong et al.
DCILP: A Distributed Approach for Large-Scale Causal Structure Learningby Shuyu Dong, Michèle Sebag, Kento Uemura,…
Summary of A Label Is Worth a Thousand Images in Dataset Distillation, by Tian Qin et al.
A Label is Worth a Thousand Images in Dataset Distillationby Tian Qin, Zhiwei Deng, David…