Summary of Optimized Deployment Of Deep Neural Networks For Visual Pose Estimation on Nano-drones, by Matteo Risso et al.
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-dronesby Matteo Risso, Francesco…
Summary of When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination, by Martin Benfeghoul et al.
When in Doubt, Think Slow: Iterative Reasoning with Latent Imaginationby Martin Benfeghoul, Umais Zahid, Qinghai…
Summary of Chunkattention: Efficient Self-attention with Prefix-aware Kv Cache and Two-phase Partition, by Lu Ye et al.
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partitionby Lu Ye, Ze Tao, Yong…
Summary of Sampling-based Distributed Training with Message Passing Neural Network, by Priyesh Kakka et al.
Sampling-based Distributed Training with Message Passing Neural Networkby Priyesh Kakka, Sheel Nidhan, Rishikesh Ranade, Jay…
Summary of Improving Sentence Embeddings with Automatic Generation Of Training Data Using Few-shot Examples, by Soma Sato et al.
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examplesby Soma Sato, Hayato…
Summary of Deep Coupling Network For Multivariate Time Series Forecasting, by Kun Yi et al.
Deep Coupling Network For Multivariate Time Series Forecastingby Kun Yi, Qi Zhang, Hui He, Kaize…
Summary of Divide-or-conquer? Which Part Should You Distill Your Llm?, by Zhuofeng Wu et al.
Divide-or-Conquer? Which Part Should You Distill Your LLM?by Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao…
Summary of Towards Probabilistically-sound Beam Search with Masked Language Models, by Creston Brooks et al.
Towards Probabilistically-Sound Beam Search with Masked Language Modelsby Creston Brooks, Robert Calef, Charlie Cowen-Breen, Anna…
Summary of Distillation Contrastive Decoding: Improving Llms Reasoning with Contrastive Decoding and Distillation, by Phuc Phan et al.
Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillationby Phuc Phan, Hieu Tran,…
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…