NIPS

GPTKB entity

Statements (107)

Predicate	Object
gptkbp:instance_of	gptkb:conference
gptkbp:bfsLayer	7
gptkbp:bfsParent	gptkb:Lise_Getoor
gptkbp:collaborations	gptkb:AAAI gptkb:ICLR gptkb:CVPR gptkb:ICML international
gptkbp:community_engagement	active
gptkbp:conference	gptkb:AAAI gptkb:ICLR gptkb:AISTATS gptkb:CVPR gptkb:ICML
gptkbp:cultural_representation	gptkb:battle
gptkbp:established	gptkb:1987
gptkbp:feedback	encouraged
gptkbp:field	gptkb:microprocessor gptkb:Artificial_Intelligence gptkb:software_framework statistics
gptkbp:first_held	gptkb:1987
gptkbp:focus	statistics deep learning reinforcement learning computational neuroscience
gptkbp:frequency	annual
gptkbp:full_name	gptkb:Neural_Information_Processing_Systems
gptkbp:historical_significance	pioneering in AI research
https://www.w3.org/2000/01/rdf-schema#label	NIPS
gptkbp:impact	high
gptkbp:is_adopted_by	low
gptkbp:location	gptkb:United_States
gptkbp:network	gptkb:battle
gptkbp:notable_alumni	many influential researchers
gptkbp:notable_performers	gptkb:Yoshua_Bengio gptkb:Andrew_Ng gptkb:Jürgen_Schmidhuber gptkb:Geoffrey_R._Hinton gptkb:Yann_Le_Cun gptkb:battle
gptkbp:notable_recordings	gptkb:stock_market_index
gptkbp:notable_work	gptkb:Attention_Is_All_You_Need gptkb:Auto-Encoding_Variational_Bayes gptkb:Generative_Adversarial_Nets gptkb:Gradient-Based_Learning_Applied_to_Document_Recognition gptkb:Neural_Networks_for_Machine_Learning gptkb:Deep_Residual_Learning_for_Image_Recognition gptkb:Neural_Turing_Machines gptkb:battle Deep Learning for Recommender Systems Playing Atari with Deep Reinforcement Learning Neural Machine Translation by Jointly Learning to Align and Translate Deep Learning for Natural Language Processing Variational Inference: A Review Self-Supervised Learning of Pretext-Invariant Representations Learning Transferable Visual Models From Natural Language Supervision Deep Learning for Time Series Forecasting Learning to Generate Reviews and Discovering Sentiment A Survey on Image Data Augmentation for Deep Learning Image Net Classification with Deep Convolutional Neural Networks Deep Learning for Graphs: A Survey Deep Learning for Reinforcement Learning: A Survey BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Neural Architecture Search with Reinforcement Learning Deep Learning for Anomaly Detection Deep Learning for Autonomous Vehicles Deep Learning for Cybersecurity Deep Learning for Drug Discovery Deep Learning for Internet of Things (Io T) Deep Learning for Robotics Deep Learning for Smart Cities Deep Learning for Social Media Analysis Deep Learning for Speech Recognition Deep Learning for Video Analysis Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles Deep Learning for Climate Change Deep Learning for Financial Forecasting Deep Learning for Medical Image Analysis Deep Reinforcement Learning with Double Q-learning Learning to Communicate with Deep Multi-Agent Reinforcement Learning
gptkbp:offers_workshops_on	gptkb:battle
gptkbp:organizer	gptkb:Neural_Information_Processing_Systems_Foundation gptkb:Neur_IPS_Foundation
gptkbp:participated_in	gptkb:stock_market_index
gptkbp:previously_known_as	gptkb:NIPS
gptkbp:publishes	gptkb:Proceedings_of_the_Neural_Information_Processing_Systems proceedings
gptkbp:release_date	varies annually
gptkbp:research_focus	gptkb:microprocessor deep learning reinforcement learning optimization theory of learning probabilistic models applications in various fields
gptkbp:scholarships	gptkb:stock_market_index
gptkbp:session	gptkb:battle
gptkbp:sponsor	gptkb:Job_Search_Engine gptkb:Microsoft gptkb:CEO gptkb:Twitter_account gptkb:book various tech companies
gptkbp:tutorials	gptkb:battle
gptkbp:user_reviews	gptkb:theorem
gptkbp:website	https://nips.cc