Summary of Scalable Graph Self-supervised Learning, by Ali Saheb Pasand et al.
Scalable Graph Self-Supervised Learningby Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali GhodsiFirst…
Summary of Api Pack: a Massive Multi-programming Language Dataset For Api Call Generation, by Zhen Guo et al.
API Pack: A Massive Multi-Programming Language Dataset for API Call Generationby Zhen Guo, Adriana Meza…
Summary of Exact, Fast and Expressive Poisson Point Processes Via Squared Neural Families, by Russell Tsuchida and Cheng Soon Ong and Dino Sejdinovic
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Familiesby Russell Tsuchida, Cheng Soon…
Summary of Ecoval: An Efficient Data Valuation Framework For Machine Learning, by Ayush K Tarun et al.
EcoVal: An Efficient Data Valuation Framework for Machine Learningby Ayush K Tarun, Vikram S Chundawat,…
Summary of Learning Interpretable Policies in Hindsight-observable Pomdps Through Partially Supervised Reinforcement Learning, by Michael Lanier et al.
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learningby Michael Lanier, Ying Xu,…
Summary of Comparing Supervised Learning Dynamics: Deep Neural Networks Match Human Data Efficiency but Show a Generalisation Lag, by Lukas S. Huber et al.
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation…
Summary of Embracing the Black Box: Heading Towards Foundation Models For Causal Discovery From Time Series Data, by Gideon Stein et al.
Embracing the black box: Heading towards foundation models for causal discovery from time series databy…
Summary of Stability and Multigroup Fairness in Ranking with Uncertain Predictions, by Siddartha Devic et al.
Stability and Multigroup Fairness in Ranking with Uncertain Predictionsby Siddartha Devic, Aleksandra Korolova, David Kempe,…
Summary of Only My Model on My Data: a Privacy Preserving Approach Protecting One Model and Deceiving Unauthorized Black-box Models, by Weiheng Chai et al.
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving…
Summary of Inform: Mitigating Reward Hacking in Rlhf Via Information-theoretic Reward Modeling, by Yuchun Miao et al.
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modelingby Yuchun Miao, Sen Zhang, Liang…