Summary of Revisiting the Dataset Bias Problem From a Statistical Perspective, by Kien Do et al.
Revisiting the Dataset Bias Problem from a Statistical Perspectiveby Kien Do, Dung Nguyen, Hung Le,…
Summary of Continual Domain Adversarial Adaptation Via Double-head Discriminators, by Yan Shen and Zhanghexuan Ji and Chunwei Ma and Mingchen Gao
Continual Domain Adversarial Adaptation via Double-Head Discriminatorsby Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen GaoFirst…
Summary of Deconstructing the Goldilocks Zone Of Neural Network Initialization, by Artem Vysogorets et al.
Deconstructing the Goldilocks Zone of Neural Network Initializationby Artem Vysogorets, Anna Dawid, Julia KempeFirst submitted…
Summary of Information-theoretic Active Correlation Clustering, by Linus Aronsson et al.
Information-Theoretic Active Correlation Clusteringby Linus Aronsson, Morteza Haghir ChehreghaniFirst submitted to arxiv on: 5 Feb…
Summary of A Reinforcement Learning Approach For Dynamic Rebalancing in Bike-sharing System, by Jiaqi Liang et al.
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing Systemby Jiaqi Liang, Sanjay Dominik Jena,…
Summary of Identifying Reasons For Contraceptive Switching From Real-world Data Using Large Language Models, by Brenda Y. Miao et al.
Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Modelsby Brenda Y. Miao,…
Summary of Assessing the Impact Of Distribution Shift on Reinforcement Learning Performance, by Ted Fujimoto and Joshua Suetterlein and Samrat Chatterjee and Auroop Ganguly
Assessing the Impact of Distribution Shift on Reinforcement Learning Performanceby Ted Fujimoto, Joshua Suetterlein, Samrat…
Summary of Rap: Retrieval-augmented Planning with Contextual Memory For Multimodal Llm Agents, by Tomoyuki Kagaya et al.
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agentsby Tomoyuki Kagaya, Thong Jing Yuan,…
Summary of Bayesian Vector Autoregression with Factorised Granger-causal Graphs, by He Zhao and Vassili Kitsios and Terence J. O’kane and Edwin V. Bonilla
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphsby He Zhao, Vassili Kitsios, Terence J. O'Kane, Edwin…
Summary of Neural Network Approximators For Marginal Map in Probabilistic Circuits, by Shivvrat Arya et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuitsby Shivvrat Arya, Tahrima Rahman, Vibhav GogateFirst…