Standout Papers
- Spectral Hashing (2008)
Citation Impact
Citing Papers
Conditional generative modeling for de novo protein design with hierarchical functions
2022
Exploiting conformational dynamics to modulate the function of designed proteins
2023 StandoutNobel
Overcoming catastrophic forgetting in neural networks
2017 StandoutNobel
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
2024 StandoutNobel
Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction
2022
Learning Convolutional Feature Hierarchies for Visual Recognition
2010
The Manifold Tangent Classifier
2011
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
2011
A Spike and Slab Restricted Boltzmann Machine
2011
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
2010 StandoutNobel
Learning with Marginalized Corrupted Features
2013
On Autoencoders and Score Matching for Energy Based Models
2011
Tiled convolutional neural networks
2010
Using very deep autoencoders for content-based image retrieval.
2011 StandoutNobel
Generative models for graph-based protein design
2019
Structured sparse coding via lateral inhibition
2011
Generating more realistic images using gated MRF's
2010 StandoutNobel
Weight Uncertainty in Neural Network
2015
Improved Local Coordinate Coding using Local Tangents
2010
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14
2021 StandoutNobel
Linear spatial pyramid matching using sparse coding for image classification
2009
Hierarchical design of pseudosymmetric protein nanocages
2024 StandoutNatureNobel
Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle
2023 StandoutNobel
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
2017 Standout
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Learning Hierarchical Features for Scene Labeling
2012
Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes
2018 StandoutNobel
Strategies for improving the sustainability of structural metals
2019 StandoutNature
Learning the protein language: Evolution, structure, and function
2021
Learning with Hierarchical-Deep Models
2013
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Single-sequence protein structure prediction using a language model and deep learning
2022
Dermatologist-level classification of skin cancer with deep neural networks
2017 StandoutNature
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Aggregating Local Image Descriptors into Compact Codes
2011
Modeling aspects of the language of life through transfer-learning protein sequences
2019
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Invariant Scattering Convolution Networks
2013
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Improved protein structure prediction using potentials from deep learning
2020 StandoutNatureNobel
The rise of deep learning in drug discovery
2018
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
Deep learning
2015 StandoutNatureNobel
Robust Object Recognition with Cortex-Like Mechanisms
2007
Representation Learning: A Review and New Perspectives
2013 Standout
Fully Convolutional Networks for Semantic Segmentation
2016 Standout
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016 StandoutNobel
Generating functional protein variants with variational autoencoders
2021
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
2015 StandoutNature
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
De novo protein design by deep network hallucination
2021 StandoutNatureNobel
Large language models generate functional protein sequences across diverse families
2023
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
2006 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Deep Convolutional Neural Network for Inverse Problems in Imaging
2017
Improving Protein Expression, Stability, and Function with ProteinMPNN
2024 StandoutNobel
Controllable protein design with language models
2022
What is the best multi-stage architecture for object recognition?
2009
The Pascal Visual Object Classes (VOC) Challenge
2009 Standout
ImageNet Large Scale Visual Recognition Challenge
2015 Standout
Object Detection Networks on Convolutional Feature Maps
2016
Virtual screening of inorganic materials synthesis parameters with deep learning
2017
Learning Deep Features for Scene Recognition using Places Database
2014
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
LabelMe: A Database and Web-Based Tool for Image Annotation
2007 Standout
Human-level concept learning through probabilistic program induction
2015 StandoutScience
ImageNet: A large-scale hierarchical image database
2009 Standout
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience
Convolutional networks and applications in vision
2010
Places: A 10 Million Image Database for Scene Recognition
2017 Standout
Marginalized Denoising Autoencoders for Domain Adaptation
2012
Structured Sparsity through Convex Optimization
2012
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
2023 StandoutNobel
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2015 Standout
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
2007
Combining satellite imagery and machine learning to predict poverty
2016 StandoutScience
Large scale image annotation: learning to rank with joint word-image embeddings
2010
Protein Design with Deep Learning
2021
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2016 Standout
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
A Stochastic Grammar of Images
2006
Recognizing indoor scenes
2009
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 Standout
Works of Rob Fergus being referenced
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
2021
Object Recognition by Scene Alignment
2007
Regularization of Neural Networks using DropConnect
2013
Spectral Hashing
2008 Standout
Semi-Supervised Learning in Gigantic Image Collections
2009
Fast Image Deconvolution using Hyper-Laplacian Priors
2009
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
2013
Visualizing and Understanding Convolutional Neural Networks
2013
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
2008
One-shot learning of object categories
2006
Learning invariant features through topographic filter maps
2009
End-To-End Memory Networks
2015
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
2006
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
2007