Deep Learning

All Work

AI researchers say we’ve squeezed nearly as much out of modern computers as we can
AI researchers say we’ve squeezed nearly as much out of modern computers as we can
TheNextWeb
MIT researchers warn that deep learning is approaching computational limits
MIT researchers warn that deep learning is approaching computational limits
VentureBeat
Neurosymbolic AI to Give Us Machines With True Common Sense
Neurosymbolic AI to Give Us Machines With True Common Sense
Medium
Bio-Inspired Hashing for Unsupervised Similarity Search
Bio-Inspired Hashing for Unsupervised Similarity Search
 
Neural-Network Can Identify a Melody Through Musicians’ Body Movements
Neural-Network Can Identify a Melody Through Musicians’ Body Movements
Interesting Engineering
Undergraduates develop next-generation intelligence tools
Undergraduates develop next-generation intelligence tools
MIT News
Engineers put tens of thousands of artificial brain synapses on a single chip
Engineers put tens of thousands of artificial brain synapses on a single chip
MIT News
Why Gradient Clipping accelerates training for neural networks
Why Gradient Clipping accelerates training for neural networks
 
Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
 
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
 
Once for All: Train One Network and Specialize it for Efficient Deployment
Once for All: Train One Network and Specialize it for Efficient Deployment
 
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Deep Audio Priors Emerge From Harmonic Convolutional Networks
 
A Closer Look at Deep Policy Gradients
A Closer Look at Deep Policy Gradients
 
Deep Symbolic Superoptimization Without Human Knowledge
Deep Symbolic Superoptimization Without Human Knowledge
 
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
 
ObjectNet: A bias-controlled dataset object recognition
ObjectNet: A bias-controlled dataset object recognition
 
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
 
Embedding Compression with Isotropic Iterative Quantization
Embedding Compression with Isotropic Iterative Quantization
 
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
 
Imitation learning from observations
Imitation learning from observations
 
Cross-channel Communication Networks
Cross-channel Communication Networks
 
Deep Leakage from Gradients
Deep Leakage from Gradients
 
Variational Russian Roulette for Deep Bayesian Nonparametrics
Variational Russian Roulette for Deep Bayesian Nonparametrics
 
Unsupervised learning by competing hidden units
Unsupervised learning by competing hidden units
 
Combining artificial intelligence with their passions
Combining artificial intelligence with their passions
MIT News
Tight Certificates of Adversarial Robustness
Tight Certificates of Adversarial Robustness
 
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
 
Neural Network Robustness Certification with General Activation Functions
Neural Network Robustness Certification with General Activation Functions
 
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
 
Co-regularized Alignment for Unsupervised Domain Adaptation
Co-regularized Alignment for Unsupervised Domain Adaptation
 
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
 
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
 
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
 
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
 
Action Centered Contextual Bandits
Action Centered Contextual Bandits
 
Gradient Descent for Spiking Neural Networks
Gradient Descent for Spiking Neural Networks