Citation Impact
Citing Papers
A ConvNet for the 2020s
2022 Standout
How cognitive and reactive fear circuits optimize escape decisions in humans
2018 StandoutNobel
Organizing conceptual knowledge in humans with a gridlike code
2016 Science
Navigating cognition: Spatial codes for human thinking
2018 ScienceNobel
Restormer: Efficient Transformer for High-Resolution Image Restoration
2022 Standout
Learning Low Precision Deep Neural Networks through Regularization.
2018
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Text Data Augmentation for Deep Learning
2021 Standout
PVT v2: Improved baselines with pyramid vision transformer
2022 Standout
Engineering precision nanoparticles for drug delivery
2020 Standout
A Hallucinogenic Serotonin-2A Receptor Agonist Reduces Visual Response Gain and Alters Temporal Dynamics in Mouse V1
2019
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems
2018
Recurrent Network Models of Sequence Generation and Memory
2016
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
Slow escape decisions are swayed by trait anxiety
2019 StandoutNobel
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
The hippocampus as a predictive map
2017
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
Finite-size effects in the microscopic critical properties of jammed configurations: A comprehensive study of the effects of different types of disorder
2021 StandoutNobel
Anxiety Cells in a Hippocampal-Hypothalamic Circuit
2018
The neural basis of psychedelic action
2022 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior
2018
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Differential influences of environment and self-motion on place and grid cell firing
2019
Jamming transition as a paradigm to understand the loss landscape of deep neural networks
2019
Scaling description of generalization with number of parameters in deep learning
2020
Critical Temperature Prediction for a Superconductor: A Variational Bayesian Neural Network Approach
2020
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
2020
Examining multi-category cross purchases models with increasing dataset scale – An artificial neural network approach
2018
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 Standout
Packing Convolutional Neural Networks in the Frequency Domain
2018
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
2022 Standout
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
2022
Efficient densely connected convolutional neural networks
2020
$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks
2018
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
2018
Knowledge Distillation: A Survey
2021 Standout
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
2017
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Deep Learning for 3D Point Clouds: A Survey
2020 Standout
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
High-Throughput In-Memory Computing for Binary Deep Neural Networks With Monolithically Integrated RRAM and 90-nm CMOS
2020
Low Bit-Width Convolutional Neural Network on RRAM
2019
Physics-informed machine learning
2021 Standout
Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns
2015 StandoutNobel
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
2021
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
2017
Object Detection in 20 Years: A Survey
2023 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
2021
A Highly Parallel and Energy Efficient Three-Dimensional Multilayer CMOS-RRAM Accelerator for Tensorized Neural Network
2017
Attention mechanisms in computer vision: A survey
2022 Standout
Energy-Quality Scalable Integrated Circuits and Systems: Continuing Energy Scaling in the Twilight of Moore’s Law
2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
2019
Works of Daniel Soudry being referenced
Post training 4-bit quantization of convolutional networks for rapid-deployment
2019
Scalable methods for 8-bit training of neural networks
2018
Norm matters: efficient and accurate normalization schemes in deep networks
2018
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
2017
Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data
2016
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training
2015
Binarized Neural Networks
2016
Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis
2016
Augment Your Batch: Improving Generalization Through Instance Repetition
2020
The Global Optimization Geometry of Shallow Linear Neural Networks
2019