Summary of A Dynamical Model Of Neural Scaling Laws, by Blake Bordelon et al.
A Dynamical Model of Neural Scaling Lawsby Blake Bordelon, Alexander Atanasov, Cengiz PehlevanFirst submitted to…
Summary of How Many Views Does Your Deep Neural Network Use For Prediction?, by Keisuke Kawano and Takuro Kutsuna and Keisuke Sano
How many views does your deep neural network use for prediction?by Keisuke Kawano, Takuro Kutsuna,…
Summary of Compositional Generative Modeling: a Single Model Is Not All You Need, by Yilun Du et al.
Compositional Generative Modeling: A Single Model is Not All You Needby Yilun Du, Leslie KaelblingFirst…
Summary of Mode: a Mixture-of-experts Model with Mutual Distillation Among the Experts, by Zhitian Xie et al.
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Expertsby Zhitian Xie, Yinger Zhang, Chenyi…
Summary of Repeat After Me: Transformers Are Better Than State Space Models at Copying, by Samy Jelassi et al.
Repeat After Me: Transformers are Better than State Space Models at Copyingby Samy Jelassi, David…
Summary of Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay, by Mohammad Rostami
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replayby Mohammad RostamiFirst submitted to arxiv…
Summary of Are Synthetic Time-series Data Really Not As Good As Real Data?, by Fanzhe Fu et al.
Are Synthetic Time-series Data Really not as Good as Real Data?by Fanzhe Fu, Junru Chen,…
Summary of Merging Multi-task Models Via Weight-ensembling Mixture Of Experts, by Anke Tang et al.
Merging Multi-Task Models via Weight-Ensembling Mixture of Expertsby Anke Tang, Li Shen, Yong Luo, Nan…
Summary of Multi-group Learning For Hierarchical Groups, by Samuel Deng and Daniel Hsu
Multi-group Learning for Hierarchical Groupsby Samuel Deng, Daniel HsuFirst submitted to arxiv on: 1 Feb…
Summary of Introducing Petrirl: An Innovative Framework For Jssp Resolution Integrating Petri Nets and Event-based Reinforcement Learning, by Sofiene Lassoued et al.
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learningby…