yusuke1997/dblp-id-title huggingface dataset:
A Feature Map Lossless Compression Framework for Convolutional Neural Network Accelerators
Real-time Radar Gesture Classification with Spiking Neural Network on SpiNNaker 2 Prototype
Deploying Artificial Intelligence in Design Verification to Accelerate IP/SoC Sign-off with Zero Escape
An error-propagation spiking neural network compatible with neuromorphic processors
An Optimization Framework for Efficient Vision-Based Autonomous Drone Navigation
Characterization of a Femtojoule Voltage-to-Time Converter with Rectified Linear Unit Characteristic for Analog Neural Network Inference Accelerators
IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, Hsinchu, Taiwan, March 18-20, 2019
An Adaptive Scheme of Threshold Adjustment for Dynamic Sparsity Extraction of Self-Attention Network
A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars
Design of Intelligent EEG System for Human Emotion Recognition with Convolutional Neural Network
Disparity Estimation using Light Ray Pair in Stacked 3D Light Field
FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation
Design Exploration of An Energy-Efficient Acceleration System for CNNs on Low-Cost Resource-Constraint SoC-FPGAs
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection
Deep Learning-based Real-time Segmentation for Edge Computing Devices
ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data
A Process and Data Variations Tolerant Capacitive Coupled 10T1C SRAM for In-Memory Compute (IMC) in Deep Neural Network Accelerators
Semi-recurrent Physics Informed Neural Networks for Modelling Resistive Memories
Efficient Hardware Implementation for Online Local Learning in Spiking Neural Networks
AI driven Wide Dynamic Range CMOS Image Sensor
A 16-Channel GRU based On-Chip Seizure Classifier for Closed Loop Neuromodulation
A 12-Lead ECG Delineation Algorithm based on a Quantized CNN-BiLSTM Auto-encoder with 1-12 Mapping
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction
A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation
Efficient Digital Implementation of n-mode Tensor-Matrix Multiplication
GaitSpike: Event-based Gait Recognition With Spiking Neural Network
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
Demography-aware COVID-19 Confinement with Game Theory
Deep Multi-Scale Residual Learning-based Blocking Artifacts Reduction for Compressed Images
Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform
A 40nm area-efficient Effective-bit-combination-based DNN accelerator with the reconfigurable multiplier
Ring-BP: Using a Wearable Smart Ring to Cufflessly Estimate Blood Pressure with Mobile and Efficient Net
RISC-V based Fully-Parallel SRAM Computing-in-Memory Accelerator with High Hardware Utilization and Data Reuse Rate
High-Fidelity Model Extraction Attacks via Remote Power Monitors
Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms
A 181µW Real-Time 3-D Hand-Gesture Recognition System for Edge Applications
A 2.17mW Acoustic DSP Processor with CNN-FFT Accelerators for Intelligent Hearing Aided Devices
An Interpretable Pixel Intensity Reconstruction Model for Asynchronous Event Camera
GA-Optimized 6.0-Gbps DDR5 SDRAM I/O Buffer Design for 16-nm FinFET CMOS Process
Improved Hybrid Memory Cube for Weight-Sharing Deep Convolutional Neural Networks
Live Demonstration: Home Appliance Control System with Dynamic Hand Gesture Recognition base on 3D Hand Skeletons
Tru-Sign: Lossless Truncated Sign Based Energy Efficient DNN Accelerator
A Mapping Model of SNNs to Neuromorphic Hardware
Spatiotemporal Trigger on Event Data for Backdoor Attack on Spiking Neural Networks
NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector
Drift-Aware Regularization for Long-Term Stability in Phase-Change Memory Based Neural Network Implementations
Effect of Line Resistance of Passive Memristive Crossbars on Spiking Neural Network Performance
Activation Swapping for Feed Forward Networks in Batched LLM Inference on NPU
Efficient Neuromorphic QUBO Solver with Spintronic Resonators
Deep Learning Compiler Optimization on Multi-Chiplet Architecture
Tile-Based Architecture Exploration for Convolutional Accelerators in Deep Neural Networks
AiRDUNet: All-In-One Residual Dense U-Net with Automated Humidity Quality Assessment for Partial Wet Fingerprint Restoration and Recognition
AI-driven Traffic Scene Understanding Using Static LiDAR Sensors
A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation
Evaluating an Analog Main Memory Architecture for All-Analog In-Memory Computing Accelerators
X-Fault: Impact of Faults on Binary Neural Networks in Memristor-Crossbar Arrays with Logic-in-Memory Computation
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones
Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty Components
A Real-Time Face Recognition System by Efficient Hardware-Software Co-Design on FPGA SoCs
A Minimal Hardware Implementation of a Neural Integrator with Graded Persistent Activity
SRU-Q: Hardware-friendly Stochastic Rounding Unit-based Gradient Quantization for CNN Training
Enhancing Ant-Inspired Visual Compass with Focused Visual Scan in a Compact Robot
Integer Quadratic Integrate-and-Fire (IQIF): A Neuron Model for Digital Neuromorphic Systems
An Energy-Efficient and Reconfigurable CNN Accelerator Applied To Lung Cancer Detection
Resistive Processing Unit-based On-chip ANN Training with Digital Memory
Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
Efficient Nonlinear Autoregressive Neural Network Architecture for Real-Time Biomedical Applications
A Customized Convolutional Neural Network Design Using Improved Softmax Layer for Real-time Human Emotion Recognition
CIM-based Robust Logic Accelerator using 28 nm STT-MRAM Characterization Chip Tape-out
Circuit-Agent: A Large Language Model Based Circuit Agent Framework for Analog/Mixed-signal Circuit Design Automation
SpatialHD: Spatial Transformer Fused with Hyperdimensional Computing for AI Applications
Energy-Efficient Ternary Multiplier
On-Chip Incremental Learning based on Unsupervised STDP Implementation
AMSNet: Analog Memristive System Architecture for Mean-Pooling with Dropout Convolutional Neural Network
Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference
Reconfigurable Edge via Analytics Architecture
NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking
DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity
Intelligent Policy Selection for GPU Warp Scheduler
SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference
Efficient Embedded Deep Neural-Network-based Object Detection Via Joint Quantization and Tiling
Spatial Data Dependence Graph Simulator for Convolutional Neural Network Accelerators
Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation
HeteroEML: Heterogeneous Design Methodology of Edge Machine Learning on CPU+FPGA Platform
A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent Task
AI-assisted ISP hyperparameter auto tuning
Bandit-supported care planning for older people with complex health and care needs
iAMEC, an Intelligent Autonomous Mover for Navigation in Indoor People Rich Environments
Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks
Searching Tiny Neural Networks for Deployment on Embedded FPGA
Hybrid Neural Networks: Integrating Spikes for Energy Efficient Computation
An Ultra-Low-power Real-Time Hand-Gesture Recognition System for Edge Applications
Efficient Deep Learning Algorithm for Alzheimer's Disease Diagnosis using Retinal Images
A CNN-based One-shot Blind RX-side-only Equalization Scheme for High-speed SerDes links
Live Demonstration: Supervised-learning-based Visual Quantification for Image Enhancement
Aiding Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
OSAHS Detection Capabilities of RingConn Smart Ring: A Feasibility Study
Addition of CXL memory pool to increase LLM training check-pointing frequency
TempDiff: Temporal Difference-Based Feature Map-Level Sparsity Induction in CNNs with <4% Memory Overhead
Quantized Fully Convolution Neural Network for HW Implementation of Human Posture Recognition
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks
Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones
A 10T SRAM Compute-In-Memory Macro with Analog MAC Operation and Time Domain Conversion
HNSG - A SNN Training Method Ultilizing Hidden Network
GAN - Based Medical Image Registration for Augmented Reality Applications
Fast DNN-based Mechatronics Prototyping Platform on Robotic Arm Control
Optimizing Mixed-Precision DNN Scheduling on Heterogeneous SoCs for Enhanced Robustness and Efficiency
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor
Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM
LATTE: Low-Precision Approximate Attention with Head-wise Trainable Threshold for Efficient Transformer
Hardware-Friendly Logarithmic Quantization with Mixed-Precision for MobileNetV2
Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs
High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier
Zero Block Caching for CNN Applications Running on a Vision DSP
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics
Heterogeneous Activation Function Extraction for Training and Optimization of SNN Systems
A Cost-Effective Baugh-Wooley Approximate Multiplier for FPGA-based Machine Learning Computing
Design optimization for ADMM-Based SVM Training Processor for Edge Computing
Context Swap: Multi-PIM System Preventing Remote Memory Access for Large Embedding Model Acceleration
Low-power Autonomous Adaptation System with Deep Reinforcement Learning
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
Adaptive Mixed MLC-SLC FeFET Mapping for CIM AI Applications Through Simulated Annealing
A 54.61-GOPS 96.35-mW Digital Logic Accelerator For Underwater Object Recognition DNN Using 40-nm CMOS Process
Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals
Sub-Word Parallel Precision-Scalable MAC Engines for Efficient Embedded DNN Inference
A machine learning enhanced approximate message passing massive MIMO accelerator
Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification
Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection
Design Tools for Resistive Crossbar based Machine Learning Accelerators
Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators
AICAS Grand Challenge 2024: Software and Hardware Co-optimization for General Large Language Model Inference on CPU
Smart Refrigerator Inventory Management Using Convolutional Neural Networks
To Spike or Not to Spike, that is the Question
SPVT: Spiked Pyramid Vision Transformer
Online Anomaly Detection in HPC Systems
Fast Object Detection Algorithm using Edge-based Operation Skip Scheme with Viola-Jones Method
Online Extreme Learning Machine Design for the Application of Federated Learning
4b/4b/8b Precision Charge-Domain 8T-SRAM Based CiM for CNN Processing
Multi-Head Attention based Bi-LSTM for Anomaly Detection in Multivariate Time-Series of WSN
A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction
An Adaptive High-Performance Quantization Approach for Resource-Constrained CNN Inference
Analog Weights in ReRAM DNN Accelerators
Deep Learning aided BP-Flip Decoding of Polar Codes
AIP: Saving the DRAM Access Energy of CNNs Using Approximate Inner Products
Quantization Strategy for Pareto-optimally Low-cost and Accurate CNN
UPE: A Device-Edge DNN Inference Artificial Intelligence Processor with Supporting Reconfigurable Training
Machine Learning Based Sleep-Status Discrimination Using a Motion Sensing Mattress
RC-GNN: Fast and Accurate Signoff Wire Delay Estimation with Customized Graph Neural Networks
TNN-CIM: An In-SRAM CMOS Implementation of TNN-Based Synaptic Arrays with STDP Learning
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators
D2D-LLM+: Unified Translation Between Design Rules/Manuals and DRC - Bridging Inconsistencies for Accurate Implementation
AIWareK: Compiling PyTorch Model for AI Processor Using MLIR Framework
TCBNN: Error-Correctable Ternary-Coded Binarized Neural Network
An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN
CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation System
ChatDNA: An End-to-end Genetics Analysis Pipeline with Embedding Databases and Prompt Learning
Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network
Bringing Touch to the Edge: A Neuromorphic Processing Approach For Event-Based Tactile Systems
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs
High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPU
On-Chip Learning via Transformer In-Context Learning
Mapping-aware Biased Training for Accurate Memristor-based Neural Networks
Variable layout CMOS pixels for end-to-end learning in task specific Image Sensors
Low-Power Convolutional Neural Network Accelerator on FPGA
Unsupervised Learning of Spike-Timing-Dependent Plasticity Based on a Neuromorphic Implementation
PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems
Online Spatio-Temporal Learning with Target Projection
Error Checking for Sparse Systolic Tensor Arrays
Live Demo: An 176.3 GOPs Object Detection CNN Accelerator Emulated in a 28nm CMOS Technology
Spiking Neural Network based Real-time Radar Gesture Recognition Live Demonstration
ONNC: A Compilation Framework Connecting ONNX to Proprietary Deep Learning Accelerators
An Efficient and Low-Power MLP Accelerator Architecture Supporting Structured Pruning, Sparse Activations and Asymmetric Quantization for Edge Computing
Implementation of a tunable spiking neuron for STDP with memristors in FDSOI 28nm
Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving
A Fully Differential 4-Bit Analog Compute-In-Memory Architecture for Inference Application
Al Engine Structures in LG TV Processor
Analog Features Extractor for Ultra-Low Power Embedded AI Listening and Keyword Spotting
An Efficient Design Framework for 2×2 CNN Accelerator Chiplet Cluster with SerDes Interconnects
A Real-time Super-resolution Accelerator Using a big. LITTLE Core Architecture
A Deep Learning Based Wearable Medicines Recognition System for Visually Impaired People
LPE: Logarithm Posit Processing Element for Energy-Efficient Edge-Device Training
Grand Challenge on Software and Hardware Co-Optimization for E-Commerce Recommendation System
Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper
Performance of Crossbar based Long Short Term Memory with Aging Memristors
SNN-LIF Model for Glaucoma Classification
Hardware-Friendly Lightweight Convolutional Neural Network Derivation at The Edge
Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators
Online low-power large-scale real-time decision-making all at once
Efficient FPGA Implementation of Approximate Singular Value Decomposition based on Shallow Neural Networks
Modified Logarithmic Multiplication Approximation for Machine Learning
Accelerate Large Language Model Inference on Edge TPU with OpenVX framework
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures
A Buyer-traceable DNN Model IP Protection Method Against Piracy and Misappropriation
Locality-Aware Adaptive Threshold Scaling for Efficient Binary Neural Networks Inference
DC-MPQ: Distributional Clipping-based Mixed-Precision Quantization for Convolutional Neural Networks
Comparison of Hardware-friendly, Audio-to-spikes Cochlear Encoding for Neuromorphic Processing
Lightweight End-to-End Stress Recognition using Binarized CNN-LSTM Models
M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks
Two-phase Scheme for Trimming QTMT CU Partition using Multi-branch Convolutional Neural Networks
An Area-Efficient CNN Accelerator Supporting Global Average Pooling with Arbitrary Shapes
Real-time Biosignal Recording and Machine-Learning Analysis System
Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches
An Attention-based Neural Network on Multiple Speaker Diarization
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge
Live Demo: Memory-Efficient Hardware Design for a Real-Time Convolutional Encoder-Decoder Network
Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN
Real-time prediction of cardiovascular diseases using reservoir-computing and fusion with electronic medical record
An Analog Neural Network ASIC for In-Sensor Processing of Radiation Detector Signals
Epileptic seizure prediction: Transfer learning with compact AI models
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse
TENG: A General-Purpose and Efficient Processor Architecture for Accelerating DNN
Towards Workload-Balanced, Live Deep Learning Analytics for Confidentiality-Aware IoT Medical Platforms
A Flexible and High-Performance Self-Organizing Feature Map Training Acceleration Circuit and Its Applications
A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions
An Architectural Study for Inference Coprocessor Core at the Edge in IoT Sensing
Smart Logic-in-Memory Architecture For Ultra-Low Power Large Fan-In Operations
Attacking a Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models
Energy Efficient Software-hardware Co-design of Quantized Recurrent Convolutional Neural Network for Continuous Cardiac Monitoring
A 266.7 TOPS/W Computing-in Memory Using Single-Ended 6T 4-kb SRAM in 16-nm FinFET CMOS Process
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization
Multi-agent Cooperative Control in Neural MMO Environment Based on MAPPO Algorithm
Improving Deep-Learning-based Optical Music Recognition for Camera-based Inputs
An Efficient Anomalous Sound Detection by Robust Processing and Reformation of Objective
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle
Wearable DPM System with Intelligent Imager and GPU
A 115.1 TOPS/W, 12.1 TOPS/mm 2 Computation-in-Memory using Ring-Oscillator based ADC for Edge AI
FEEP: Functional ECO Synthesis with Efficient Patch Minimization
A 94.76%-accuracy, <16μs/classification-latency STT-MRAM CiM-based Classifier for Closed-loop Peripheral Nerve Modulation Implants
Radar and Camera Fusion for Vacant Parking Space Detection
Prediction of Gas Concentration Using Gated Recurrent Neural Networks
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning
Bit-Offsetter: A Bit-serial DNN Accelerator with Weight-offset MAC for Bit-wise Sparsity Exploitation
Class Attention Transfer for Semantic Segmentation
Live Demonstration: An Integrated Computing and Communication Platform for Vehicle-Infrastructure Cooperative Autonomous Driving
Improved Convolutional Neutral Network Based Model for Small Visual Object Detection in Autonomous Driving
Live Demonstration: Efficient Organic Photodetector based Active Matrix Imager for Real-time Optical Character Recognition
PCB Identification Based on Machine Learning Utilizing Power Consumption Variability
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Reusing Softmax Hardware Unit for GELU Computation in Transformers
REN: A Reconfigurable End-To-end NeuroSLAM Hardware Accelerator for Micro Mobile Robots
Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data
Object-Augmented Skeleton-Based Action Recognition
Deep Neural Network Mapping and Performance Analysis on Tiled RRAM Architecture
GPIL: Gradient with PseudoInverse Learning for High Accuracy Fine-Tuning
TPE: A High-Performance Edge-Device Inference with Multi-level Transformational Mechanism
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
A Wearable High Blood Pressure Classification Processor Using Photoplethysmogram Signals through Power Spectral Density Features
A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems
Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness
Flyintel - a Platform for Robot Navigation based on a Brain-Inspired Spiking Neural Network
Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments
ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System
Enhancing Training Efficiency: A Novel Approach to Handling GPU Failures in Large-Scale Distributed System for LLM Training
Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic System
Accelerator Design using 3D Stacked Capacitorless DRAM for Large Language Models
Efficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution
KV Cache Compression Based on Token-Level Redundancy Elimination and Bit-Level Encoding
A Real-Time Robot-Arm Surgical Guiding System Development by Image-Tracking
Automatic HCC Detection Using Convolutional Network with Multi-Magnification Input Images
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning
An Efficient CNN Training Accelerator Leveraging Transposable Block Sparsity
Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation
Fully-Integrated Spiking Neural Network Using SiOx-Based RRAM as Synaptic Device
A Pruned-CELP Speech Codec Using Denoising Autoencoder with Spectral Compensation for Quality and Intelligibility Enhancement
Soft Error Mitigation for Deep Convolution Neural Network on FPGA Accelerators
Is Semantic Communication for Autonomous Driving Secured against Adversarial Attacks?
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip
XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator
A Closed-Loop Brain-Machine Interface with One-Shot Learning and Online Tuning for Patient-Specific Neurological Disorder Treatment
AnalogAI: A Generalized Accuracy Recovery Framework for DNNs under Analog Computing
SAPIENS: Towards Energy-efficient Deep Spiking Neural Networks via the Approximation of Power-expensive Neurons
Optimizing the Semantic Segmentation CNN SalsaNext on a Vertical Vector Processor
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems