PinnedPrakash KagithainTowards Data ScienceNeurIPS 2020 Papers: Takeaways of a Deep Learning Engineer (Part 2 of 3)— Computer VisionTechniques and insights for applied deep learning (computer vision) from papers published at NeurIPS 202011 min read·Dec 5, 2020----
PinnedPrakash KagithainTowards Data ScienceNeurIPS 2020 Papers: A Deep Learning Engineer’s TakeawayTechniques and insights for applied deep learning from papers published at NeurIPS 2020.11 min read·Nov 27, 2020----
Prakash KagithainHeartbeatKnowledge Distillation Research ReviewThe latest advances and insights for Neural Network model compression with Knowledge Distillation10 min read·Feb 5, 2021----
Prakash KagithainHeartbeatNeural Network Quantization Research ReviewThe latest advances and insights for Neural Network model compression with Quantization12 min read·Jan 19, 2021----
Prakash KagithainHeartbeatNeural Network Pruning Research Review 2020The latest advances and insights for Neural Network model compression with Pruning11 min read·Dec 24, 2020--1--1
Prakash KagithaICLR 2020 papers: On Compositional/Systematic generalization (including ours)An introduction to systematic generalization and a summary of 4 papers from ICLR 20207 min read·Apr 26, 2020----
Prakash KagithainAkaike TechnologiesComputer Vision and Computer Vision appliedThe beginning, the rise and the prospect of computer vision13 min read·Oct 24, 2019----
Prakash KagithaThis Is the Meaning of Everything, If It ExistsEverything comes down to ‘the relationship’ between the oblivion and everything; and it is the answer for everything, if it’s not trivial6 min read·Dec 15, 2018--1--1
Prakash KagithainTowards Data ScienceNIPS/NeurIPS 2018: Best* of the First Two Poster SessionsA reading list from 330+ papers, grouped based on their utility or virtue25 min read·Dec 4, 2018--1--1
Prakash KagithainTowards Data ScienceReading Abstracts from NIPS/NeurIPS 2018! Here is What I LearnedNeurIPS 2018 EXPO just began!! Lets start the fun11 min read·Dec 2, 2018--1--1