Summary of Applying Reinforcement Learning to Optimize Traffic Light Cycles, by Seungah Son and Juhee Jin
Applying Reinforcement Learning to Optimize Traffic Light Cyclesby Seungah Son, Juhee JinFirst submitted to arxiv…
Summary of Efficient Data Selection Employing Semantic Similarity-based Graph Structures For Model Training, by Roxana Petcu and Subhadeep Maji
Efficient data selection employing Semantic Similarity-based Graph Structures for model trainingby Roxana Petcu, Subhadeep MajiFirst…
Summary of Vygotsky Distance: Measure For Benchmark Task Similarity, by Maxim K. Surkov and Ivan P. Yamshchikov
Vygotsky Distance: Measure for Benchmark Task Similarityby Maxim K. Surkov, Ivan P. YamshchikovFirst submitted to…
Summary of How Transformers Learn Causal Structure with Gradient Descent, by Eshaan Nichani et al.
How Transformers Learn Causal Structure with Gradient Descentby Eshaan Nichani, Alex Damian, Jason D. LeeFirst…
Summary of Scaling Efficient Llms, by B.n. Kausik
Scaling Efficient LLMsby B.N. KausikFirst submitted to arxiv on: 22 Feb 2024CategoriesMain: Computation and Language…
Summary of Prompting a Pretrained Transformer Can Be a Universal Approximator, by Aleksandar Petrov et al.
Prompting a Pretrained Transformer Can Be a Universal Approximatorby Aleksandar Petrov, Philip H.S. Torr, Adel…
Summary of Batch and Match: Black-box Variational Inference with a Score-based Divergence, by Diana Cai et al.
Batch and match: black-box variational inference with a score-based divergenceby Diana Cai, Chirag Modi, Loucas…
Summary of Generalising Realisability in Statistical Learning Theory Under Epistemic Uncertainty, by Fabio Cuzzolin
Generalising realisability in statistical learning theory under epistemic uncertaintyby Fabio CuzzolinFirst submitted to arxiv on:…
Summary of Generalizing Reward Modeling For Out-of-distribution Preference Learning, by Chen Jia
Generalizing Reward Modeling for Out-of-Distribution Preference Learningby Chen JiaFirst submitted to arxiv on: 22 Feb…
Summary of Causal Imputation For Counterfactual Scms: Bridging Graphs and Latent Factor Models, by Alvaro Ribot et al.
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Modelsby Alvaro Ribot, Chandler Squires,…