Summary of Adversarial Robustness Of In-context Learning in Transformers For Linear Regression, by Usman Anwar et al.
Adversarial Robustness of In-Context Learning in Transformers for Linear Regressionby Usman Anwar, Johannes Von Oswald,…
Summary of Interactive Dialogue Agents Via Reinforcement Learning on Hindsight Regenerations, by Joey Hong et al.
Interactive Dialogue Agents via Reinforcement Learning on Hindsight Regenerationsby Joey Hong, Jessica Lin, Anca Dragan,…
Summary of Q-sft: Q-learning For Language Models Via Supervised Fine-tuning, by Joey Hong et al.
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuningby Joey Hong, Anca Dragan, Sergey LevineFirst submitted…
Summary of Defending Deep Regression Models Against Backdoor Attacks, by Lingyu Du et al.
Defending Deep Regression Models against Backdoor Attacksby Lingyu Du, Yupei Liu, Jinyuan Jia, Guohao LanFirst…
Summary of Vtechagp: An Academic-to-general-audience Text Paraphrase Dataset and Benchmark Models, by Ming Cheng et al.
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Modelsby Ming Cheng, Jiaying Gong, Chenhan Yuan,…
Summary of Plasticity Loss in Deep Reinforcement Learning: a Survey, by Timo Klein et al.
Plasticity Loss in Deep Reinforcement Learning: A Surveyby Timo Klein, Lukas Miklautz, Kevin Sidak, Claudia…
Summary of Conformalized Credal Regions For Classification with Ambiguous Ground Truth, by Michele Caprio et al.
Conformalized Credal Regions for Classification with Ambiguous Ground Truthby Michele Caprio, David Stutz, Shuo Li,…
Summary of Think Smart, Act Smarl! Analyzing Probabilistic Logic Driven Safety in Multi-agent Reinforcement Learning, by Satchit Chatterji and Erman Acar
Think Smart, Act SMARL! Analyzing Probabilistic Logic Driven Safety in Multi-Agent Reinforcement Learningby Satchit Chatterji,…
Summary of Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing For Scalable Longitudinal Data Imputation, by Zhaoyang Zhang et al.
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputationby Zhaoyang Zhang,…
Summary of Enhancing Missing Data Imputation Through Combined Bipartite Graph and Complete Directed Graph, by Zhaoyang Zhang et al.
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graphby Zhaoyang Zhang, Hongtu…