A Decade of Deep Learning: A Survey on The Magnificent Seven | Paper Citation Record

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This paper cites GPT-4 Technical Report.

A Decade of Deep Learning: A Survey on The Magnificent Seven GPT-4 Technical Report

Reference 1

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This paper cites Relational inductive biases, deep learning, and graph networks.

A Decade of Deep Learning: A Survey on The Magnificent Seven Relational inductive biases, deep learning, and graph networks

Reference 5

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This paper cites Generating Sentences from a Continuous Space.

A Decade of Deep Learning: A Survey on The Magnificent Seven Generating Sentences from a Continuous Space

Reference 7

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This paper cites Rethinking Attention with Performers.

A Decade of Deep Learning: A Survey on The Magnificent Seven Rethinking Attention with Performers

Reference 11

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This paper cites Bert: Pre-trainingofdeepbidirectional transformers for language understanding.

A Decade of Deep Learning: A Survey on The Magnificent Seven Bert: Pre-trainingofdeepbidirectional transformers for language understanding

Reference 13

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This paper cites The Llama 3 Herd of Models.

A Decade of Deep Learning: A Survey on The Magnificent Seven The Llama 3 Herd of Models

Reference 14

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This paper cites CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms.

A Decade of Deep Learning: A Survey on The Magnificent Seven CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

Reference 15

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This paper cites Dynamical Variational Autoencoders: A Comprehensive Review.

A Decade of Deep Learning: A Survey on The Magnificent Seven Dynamical Variational Autoencoders: A Comprehensive Review

Reference 17

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This paper cites Perceiver: General Perception with Iterative Attention.

A Decade of Deep Learning: A Survey on The Magnificent Seven Perceiver: General Perception with Iterative Attention

Reference 20

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This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

A Decade of Deep Learning: A Survey on The Magnificent Seven Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 21

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This paper cites The Teichm\"uller problem for $L^p$-means of distortion.

A Decade of Deep Learning: A Survey on The Magnificent Seven The Teichm\"uller problem for $L^p$-means of distortion

Reference 22

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This paper cites Adam: A Method for Stochastic Optimization.

A Decade of Deep Learning: A Survey on The Magnificent Seven Adam: A Method for Stochastic Optimization

Reference 23

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This paper cites Auto-Encoding Variational Bayes.

A Decade of Deep Learning: A Survey on The Magnificent Seven Auto-Encoding Variational Bayes

Reference 24

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This paper cites Variational Diffusion Models.

A Decade of Deep Learning: A Survey on The Magnificent Seven Variational Diffusion Models

Reference 25

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

A Decade of Deep Learning: A Survey on The Magnificent Seven Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

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This paper cites Multimodality representation learning: A survey on evolution, pretraining and its applications.

A Decade of Deep Learning: A Survey on The Magnificent Seven Multimodality representation learning: A survey on evolution, pretraining and its applications

Reference 30

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This paper cites Mixed Precision Training.

A Decade of Deep Learning: A Survey on The Magnificent Seven Mixed Precision Training

Reference 32

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This paper cites An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels.

A Decade of Deep Learning: A Survey on The Magnificent Seven An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Reference 34

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This paper cites StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery.

A Decade of Deep Learning: A Survey on The Magnificent Seven StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Reference 35

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This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

A Decade of Deep Learning: A Survey on The Magnificent Seven Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 36

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This paper cites A $p$-adic approach to the existence of level-raising congruences.

A Decade of Deep Learning: A Survey on The Magnificent Seven A $p$-adic approach to the existence of level-raising congruences

Reference 37

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This paper cites Investigating different $\Lambda$ and $\bar\Lambda$ polarizations in relativistic heavy-ion collisions.

A Decade of Deep Learning: A Survey on The Magnificent Seven Investigating different $\Lambda$ and $\bar\Lambda$ polarizations in relativistic heavy-ion collisions

Reference 39

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This paper cites Zero-Shot Text-to-Image Generation.

A Decade of Deep Learning: A Survey on The Magnificent Seven Zero-Shot Text-to-Image Generation

Reference 40

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This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

A Decade of Deep Learning: A Survey on The Magnificent Seven Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 41

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This paper cites Tackling Climate Change with Machine Learning.

A Decade of Deep Learning: A Survey on The Magnificent Seven Tackling Climate Change with Machine Learning

Reference 42

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Decade of Deep Learning: A Survey on The Magnificent Seven Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 43

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This paper cites Rethinking Interpretability in the Era of Large Language Models.

A Decade of Deep Learning: A Survey on The Magnificent Seven Rethinking Interpretability in the Era of Large Language Models

Reference 44

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This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

A Decade of Deep Learning: A Survey on The Magnificent Seven Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 45

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A Decade of Deep Learning: A Survey on The Magnificent Seven Score-Based Generative Modeling through Stochastic Differential Equations

Reference 46

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This paper cites Energy and Policy Considerations for Deep Learning in NLP.

A Decade of Deep Learning: A Survey on The Magnificent Seven Energy and Policy Considerations for Deep Learning in NLP

Reference 47

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This paper cites VAE with a VampPrior.

A Decade of Deep Learning: A Survey on The Magnificent Seven VAE with a VampPrior

Reference 49

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This paper cites All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.

A Decade of Deep Learning: A Survey on The Magnificent Seven All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Reference 50

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This paper cites Graph Attention Networks.

A Decade of Deep Learning: A Survey on The Magnificent Seven Graph Attention Networks

Reference 51

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This paper cites Linformer: Self-Attention with Linear Complexity.

A Decade of Deep Learning: A Survey on The Magnificent Seven Linformer: Self-Attention with Linear Complexity

Reference 52

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A Decade of Deep Learning: A Survey on The Magnificent Seven VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 53

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A Decade of Deep Learning: A Survey on The Magnificent Seven CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 54

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A Decade of Deep Learning: A Survey on The Magnificent Seven Wav2clip: Learning robust audio representations from clip

Reference 55

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This paper cites How Powerful are Graph Neural Networks?.

A Decade of Deep Learning: A Survey on The Magnificent Seven How Powerful are Graph Neural Networks?

Reference 56

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This paper cites Diffusion-LM Improves Controllable Text Generation.

A Decade of Deep Learning: A Survey on The Magnificent Seven Diffusion-LM Improves Controllable Text Generation

Reference 57

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This paper cites Can LLM Graph Reasoning Generalize beyond Pattern Memorization?.

A Decade of Deep Learning: A Survey on The Magnificent Seven Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Reference 58

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A Decade of Deep Learning: A Survey on The Magnificent Seven DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Reference 59

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This paper cites Wandering in the Lyman-alpha Forest: A Study of Dark Matter-Dark Radiation Interactions.

A Decade of Deep Learning: A Survey on The Magnificent Seven Wandering in the Lyman-alpha Forest: A Study of Dark Matter-Dark Radiation Interactions

Reference 1943

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A Decade of Deep Learning: A Survey on The Magnificent Seven Conditional Generative Adversarial Nets

Reference 1969

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This paper cites Neural Message Passing for Quantum Chemistry.

A Decade of Deep Learning: A Survey on The Magnificent Seven Neural Message Passing for Quantum Chemistry

Reference 2000

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This paper cites Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer.

A Decade of Deep Learning: A Survey on The Magnificent Seven Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer

Reference 2007

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This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

A Decade of Deep Learning: A Survey on The Magnificent Seven CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 2009

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This paper cites A theoretical framework for back-propagation.

A Decade of Deep Learning: A Survey on The Magnificent Seven A theoretical framework for back-propagation

Reference 2012

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This paper cites Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

A Decade of Deep Learning: A Survey on The Magnificent Seven Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Reference 2013

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A Decade of Deep Learning: A Survey on The Magnificent Seven DRAW: A Recurrent Neural Network For Image Generation

Reference 2014

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A Decade of Deep Learning: A Survey on The Magnificent Seven Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 2015

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A Decade of Deep Learning: A Survey on The Magnificent Seven Reformer: The Efficient Transformer

Reference 2016

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A Decade of Deep Learning: A Survey on The Magnificent Seven Wasserstein GAN

Reference 2017

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This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

A Decade of Deep Learning: A Survey on The Magnificent Seven Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2018

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This paper cites LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions.

A Decade of Deep Learning: A Survey on The Magnificent Seven LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions

Reference 2019

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This paper cites Spectral Networks and Locally Connected Networks on Graphs.

A Decade of Deep Learning: A Survey on The Magnificent Seven Spectral Networks and Locally Connected Networks on Graphs

Reference 2020

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This paper cites Safari: Cross-lingual bias and factuality detection in news media and news articles.

A Decade of Deep Learning: A Survey on The Magnificent Seven Safari: Cross-lingual bias and factuality detection in news media and news articles

Reference 2021

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This paper cites Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox.

A Decade of Deep Learning: A Survey on The Magnificent Seven Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox

Reference 2022

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This paper cites From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning.

A Decade of Deep Learning: A Survey on The Magnificent Seven From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning

Reference 2023

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This paper cites BEiT: BERT Pre-Training of Image Transformers.

A Decade of Deep Learning: A Survey on The Magnificent Seven BEiT: BERT Pre-Training of Image Transformers

Reference 2024

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