Showing 1–20 of 74 results
/ Date/ Name
Jun 16, 2021Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AIOct 26, 2021MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the EdgeSep 22, 2022Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse TrainingAug 29, 2019An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMMJun 16, 2021FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN AcceleratorSep 15, 2020Real-Time Execution of Large-scale Language Models on MobileAug 27, 2019Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN ImplementationSep 12, 2020YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-DesignNov 20, 2020ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving PruningOct 19, 2023MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant FeaturesFeb 3, 2018An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic ComputingJul 25, 2024SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting CircuitsJan 30, 2024EdgeOL: Efficient in-situ Online Learning on Edge DevicesJan 7, 2026Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron MaskingDec 27, 2021SPViT: Enabling Faster Vision Transformers via Soft Token PruningNov 2, 2024Fast and Memory-Efficient Video Diffusion Using Streamlined InferenceAug 20, 2025Rethinking the Potential of Layer Freezing for Efficient DNN TrainingApr 28, 2025Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device TrainingFeb 28, 2026Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion ModelsFeb 2, 2026ViThinker: Active Vision-Language Reasoning via Dynamic Perceptual Querying