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Showing 2951–2975 of 5629 papers

TitleStatusHype
Elastic Deep Learning in Multi-Tenant GPU Clusters—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks—0
EHSNet: End-to-End Holistic Learning Network for Large-Size Remote Sensing Image Semantic Segmentation—0
Element-Wise Attention Layers: an option for optimization—0
ELF-VC: Efficient Learned Flexible-Rate Video Coding—0
ELMS: Elasticized Large Language Models On Mobile Devices—0
Emage: Non-Autoregressive Text-to-Image Generation—0
Embedded Vision for Self-Driving on Forest Roads—0
Embedding Compression with Hashing for Efficient Representation Learning in Graph—0
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph—0
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization—0
Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification—0
Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling—0
Empirical Studies of Institutional Federated Learning For Natural Language Processing—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech—0
Emulating Aerosol Microphysics with Machine Learning—0
Vision Transformer Computation and Resilience for Dynamic Inference—0
Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud—0
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small—0
Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization—0
Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design—0
Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets—0
Enabling On-Device Smartphone GPU based Training: Lessons Learned—0
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