Summary of Variational Dag Estimation Via State Augmentation with Stochastic Permutations, by Edwin V. Bonilla et al.
Variational DAG Estimation via State Augmentation With Stochastic Permutationsby Edwin V. Bonilla, Pantelis Elinas, He…
Summary of Clipformer: Key-value Clipping Of Transformers on Memristive Crossbars For Write Noise Mitigation, by Abhiroop Bhattacharjee et al.
ClipFormer: Key-Value Clipping of Transformers on Memristive Crossbars for Write Noise Mitigationby Abhiroop Bhattacharjee, Abhishek…
Summary of Enhancing Transformer Rnns with Multiple Temporal Perspectives, by Razvan-gabriel Dumitru et al.
Enhancing Transformer RNNs with Multiple Temporal Perspectivesby Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai SurdeanuFirst submitted to…
Summary of Denseformer: Enhancing Information Flow in Transformers Via Depth Weighted Averaging, by Matteo Pagliardini et al.
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averagingby Matteo Pagliardini, Amirkeivan Mohtashami, Francois…
Summary of Beclr: Batch Enhanced Contrastive Few-shot Learning, by Stylianos Poulakakis-daktylidis and Hadi Jamali-rad
BECLR: Batch Enhanced Contrastive Few-Shot Learningby Stylianos Poulakakis-Daktylidis, Hadi Jamali-RadFirst submitted to arxiv on: 4…
Summary of Brain: Bayesian Reward-conditioned Amortized Inference For Natural Language Generation From Feedback, by Gaurav Pandey et al.
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedbackby Gaurav Pandey, Yatin Nandwani,…
Summary of Autotimes: Autoregressive Time Series Forecasters Via Large Language Models, by Yong Liu et al.
AutoTimes: Autoregressive Time Series Forecasters via Large Language Modelsby Yong Liu, Guo Qin, Xiangdong Huang,…
Summary of Dellma: Decision Making Under Uncertainty with Large Language Models, by Ollie Liu et al.
DeLLMa: Decision Making Under Uncertainty with Large Language Modelsby Ollie Liu, Deqing Fu, Dani Yogatama,…
Summary of Beyond the Limits: a Survey Of Techniques to Extend the Context Length in Large Language Models, by Xindi Wang et al.
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language…
Summary of Multi-level Aggregation and Recursive Alignment Architecture For Efficient Parallel Inference Segmentation Network, by Yanhua Zhang et al.
Multi-Level Aggregation and Recursive Alignment Architecture for Efficient Parallel Inference Segmentation Networkby Yanhua Zhang, Ke…