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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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5 of Latest Published Articles:
Artificial Intelligence
#ArtificialIntelligence


πŸ—’ Minimizing Close-k Aggregate Loss Improves Classification
πŸ‘₯ Bryan He, James Zou
πŸ“— PDF


πŸ—’ Learning Beam Search Policies via Imitation Learning
πŸ‘₯ Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
πŸ“— PDF


πŸ—’ Modeling Attention Flow on Graphs
πŸ‘₯ Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng
πŸ“— PDF


πŸ—’ Hybrid Pruning: Thinner Sparse Networks for Fast Inference on Edge Devices
πŸ‘₯ Xiaofan Xu, Mi Sun Park, Cormac Brick
πŸ“— PDF


πŸ—’ Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
πŸ‘₯ Di Chen, Carla P. Gomes
πŸ“— PDF


#ArtificialIntelligence
AI Python & arXiv Channel
5 of Latest Published Articles:
Hardware Architecture
#HardwareArchitecture


πŸ—’ MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks
πŸ‘₯ Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique
πŸ“— PDF


πŸ—’ Neuromorphic hardware as a self-organizing computing system
πŸ‘₯ Lyes Khacef, Bernard Girau, Nicolas Rougier, Andres Upegui, Benoit Miramond
πŸ“— PDF


πŸ—’ Architectural exploration of heterogeneous memory systems
πŸ‘₯ M. Horro, G. RodrΓ­guez, J. TouriΓ±o, M. T. Kandemir
πŸ“— PDF


πŸ—’ Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA
πŸ‘₯ Swagata Mandal, Sreetama Sarkar, Wong Ming Ming, Anupam Chattopadhyay, Amlan Chakrabarti
πŸ“— PDF


πŸ—’ Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
πŸ‘₯ Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu
πŸ“— PDF


#HardwareArchitecture
AI Python & arXiv Channel