From Noisebridge
< Talk:DreamTeam
Revision as of 07:32, 10 February 2017 by (talk) (recent additions dump)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

9 Feb 2017 " Deep Networks with Stochastic Depth" " DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets" " Densely Connected Convolutional Networks" " FPGA Based Implementation of Deep Neural Networks Using On-chip Memory Only" " Mediated Experts for Deep Convolutional Networks" " RhoanaNet Pipeline: Dense Automatic Neural Annotation" " The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning" " vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design" " X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets" "A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text" "A Reconfigurable Low Power High Throughput Architecture for Deep Network Training" "About Pyramid Structure in Convolutional Neural Networks" "Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices" "Adaptive Normalized Risk-Averting Training For Deep Neural Networks" "An Analysis of the Connections Between Layers of Deep Neural Networks" "An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections" "An Infinite Restricted Boltzmann Machine" "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification" "Bitwise Neural Networks" "CLAASIC: a Cortex-Inspired Hardware Accelerator" "cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL" "Compressing Neural Networks with the Hashing Trick" "Compression of Deep Neural Networks on the Fly" "Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition" "Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware" "Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing" "Convolutional Neural Networks using Logarithmic Data Representation" "Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections" "Deep Attributes from Context-Aware Regional Neural Codes" "DEEP COMPRESSION : COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING , TRAINED QUANTIZATION AND HUFFMAN CODING" "Deep convolutional neural networks for predominant instrument recognition in polyphonic music" "Deep counter networks for asynchronous event-based processing" "Deep Learning Markov Random Field for Semantic Segmentation" "Deep Learning Models of the Retinal Response to Natural Scenes" "Deep Model Compression: Distilling Knowledge from Noisy Teachers" "Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition" "Deeply-Supervised Nets" "Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling" "Diving deeper into mentee networks" "DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks" "Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy" "EIE: Efficient Inference Engine on Compressed Deep Neural Network" "Fast Training of Triplet-based Deep Binary Embedding Networks" "FireCaffe: near-linear acceleration of deep neural network training on compute clusters" "Generalized Discriminant Analysis algorithm for feature reduction in Cyber Attack Detection System" "Gradual DropIn of Layers to Train Very Deep Neural Networks" "Improved Techniques for Training GANs" "LCNN: Lookup-based Convolutional Neural Network" "Let�s keep it simple: Using simple architectures to outperform deeper architectures" "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" "Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations" "MANIFOLD REGULARIZED DEEP NEURAL NETWORKS USING ADVERSARIAL EXAMPLES" "Mapping Generative Models onto a Network of Digital Spiking Neurons" "Memory Bounded Deep Convolutional Networks" "On Complex Valued Convolutional Neural Networks" "Origami: A 803 GOp/s/W Convolutional Network Accelerator" "Parameter Compression of Recurrent Neural Networks and Degredation of Short-term Memory" "PathNet: Evolution Channels Gradient Descent in Super Neural Networks" "Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines" "Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations" "Recurrent Neural Network Based Hybrid Model of Gene Regulatory Network" "Representing inferential uncertainty in deep neural networks through sampling" "Robust Convolutional Neural Networks under Adversarial Noise" "Runtime Configurable Deep Neural Networks for Energy-Accuracy Trade-off" "SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing" "Scalable and Sustainable Deep Learning via Randomized Hashing" "Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks" "Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Readin" "SNN: Stacked Neural Networks" "Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks" "Spectral Representations for Convolutional Neural Networks" "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" "StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity" "Structured Pruning of Deep Convolutional Neural Networks" "Structured Receptive Fields in CNNs" "STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks" "Teaching Deep Convolutional Neural Networks to Play Go" "Ternary Neural Networks for Resource-Efficient AI Applications" "Ternary weight networks" "Text-Attentional Convolutional Neural Networks for Scene Text Detection" "The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs" "Towards Dropout Training for Convolutional Neural Networks" "Training Deep Neural Networks on Noisy Labels with Bootstrapping" "TRAINING DEEP NEURAL NETWORKS WITH LOW PRECISION MULTIPLICATIONS" "Training Echo State Networks with Regularization through Dimensionality Reduction" "TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth" "Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units" "Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks" "Very Deep Multilingual Convolutional Neural Networks for LVCSR"

2 Feb 2017 "A Literature survey for Object Recognition using Neural Networks in FPGA" "An FPGA based adaptive weightless Neural Network Hardware" "Analysis of Visible Light Communication System for Implementation in Sensor Networks" "Anatomically constrained minimum variance beamforming applied to EEG" "Based on Multi-FPGA Neuron Simulation Hardware Platform" "Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning" "Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms" "Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks" "cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL" "CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android" "Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs" "Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications" "Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification" "Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning" "Digital Hardware Implementation of Artificial Neural Network for Signal Processing" "ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA" "FPGA IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORKS" "FPGA Implementations of Neural Networks" "FPGA-based Accelerator for Long Short-Term Memory Recurrent Neural Networks" "FPGA-TARGETED NEURAL ARCHITECTURE FOR EMBEDDED ALERTNESS DETECTION" "Hardware Accelerated Convolutional Neural Networks for Synthetic Vision Systems" "HARDWARE IMPLEMENTATION OF A FEEDFORWARD NEURAL NETWORK USING FPGAs" "Holographic Entanglement Entropy" "IMPLEMENTATION OF NEURAL - CRYPTOGRAPHIC SYSTEM USING FPGA" "Magnetoencephalography - theory, instrumentation, and applications to non-invasive studies of the working human brain" "On Complex Valued Convolutional Neural Networks" "Photo-Thermal Neural Excitation by Extrinsic and Intrinsic Absorbers: A Temperature-Rate Model" "PipeCNN: An OpenCL-Based FPGA Accelerator for Large-Scale Convolution Neuron Networks" "Recurrent Neural Networks Hardware Implementation on FPGA" "Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks" "Robust Convolutional Neural Networks under Adversarial Noise" "Scaling Binarized Neural Networks on Reconfigurable Logic" "SNNAP: Approximate Computing on Programmable SoCs via Neural Acceleration" "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition" "Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks" "Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices" "Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units" "YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights"