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Showing 701–750 of 2231 papers

TitleStatusHype
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference—0
ALO-VC: Any-to-any Low-latency One-shot Voice Conversion—0
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks—0
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie—0
The Information Retrieval Experiment PlatformCode1
Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-ExpertsCode1
Search-Based Regular Expression Inference on a GPUCode1
Pulse shape discrimination based on the Tempotron: a powerful classifier on GPUCode0
AudioDec: An Open-source Streaming High-fidelity Neural Audio CodecCode2
MixFormerV2: Efficient Fully Transformer TrackingCode2
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and MemoryCode2
Sliding Window Sum Algorithms for Deep Neural Networks—0
Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics—0
EfficientSpeech: An On-Device Text to Speech ModelCode1
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing—0
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching—0
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces—0
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload AwarenessCode2
XFormer: Fast and Accurate Monocular 3D Body Capture—0
Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU—0
Fast and Attributed Change Detection on Dynamic Graphs with Density of StatesCode1
DeepFilterNet: Perceptually Motivated Real-Time Speech EnhancementCode4
Accelerator-Aware Training for Transducer-Based Speech Recognition—0
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group AttentionCode0
Active Semantic Localization with Graph Neural Embedding—0
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems—0
Dynamic Sparse Training with Structured SparsityCode1
Unlimiformer: Long-Range Transformers with Unlimited Length InputCode3
Full Scaling Automation for Sustainable Development of Green Data CentersCode7
AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty—0
Analyzing In-browser Cryptojacking—0
Optimizing Deep Learning Models For Raspberry PiCode0
Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU ArchitecturesCode1
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications—0
Exploring shared memory architectures for end-to-end gigapixel deep learning—0
Deep Convolutional Tables: Deep Learning without Convolutions—0
FindVehicle and VehicleFinder: A NER dataset for natural language-based vehicle retrieval and a keyword-based cross-modal vehicle retrieval systemCode1
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale—0
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables—0
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices—0
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data ValueCode1
STen: Productive and Efficient Sparsity in PyTorch—0
MAC, a novel stochastic optimization method—0
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUsCode0
DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network InferenceCode1
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning—0
Gradient-Free Textual Inversion—0
SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration—0
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsCode0
Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM—0
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