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GPU
36 articles tagged with this entity.
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Infinite Worlds with Versatile Interactions
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MoWorld: A Flash World Model
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Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference
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From Hugging Face to Amazon SageMaker Studio in one click
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GALOSH: Blind, Training-Free Denoising of Raw Bayer and sRGB Images by Parallel-Friendly Local Shrinkage
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StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model
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FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
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Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAX
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DecompRL: Solving Harder Problems by Learning Modular Code Generation
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AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity
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An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU
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UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention
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RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum Machines
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Enhanced Diffusion Sampling: Efficient Rare Event Sampling and Free Energy Calculation with Diffusion Models
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Radar Guided Camera Verification for Automatic Emergency Braking Rethinking Object Detection in Radar Camera Fusion
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Emyx: Fast and efficient all-atom protein generation
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Human-like autonomy emerges from self-play and a pinch of human data
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Mixed-Precision Communication-Avoiding SGD for Generalized Linear Models on GPUs
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NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth Observation
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MegaFold: Efficient Training of Next-Generation 3D Attention Protein Models on Cross-Platform GPUs
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VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference
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NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
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Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft Inspection
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The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection
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Mojo: A Promising Tool for Scalable Financial AI Efficiency
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Iterative Visual Thinking: Teaching Vision-Language Models Spatial Self-Correction through Visual Feedback
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Standardized Methods and Recommendations for Green Federated Learning
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MiniMax Sparse Attention
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Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation
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BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
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Programmable Silicon Retina on Pixel Processor Array
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Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
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Language-based Trial and Error Falls Behind in the Era of Experience
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TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection
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LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling
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ViBE: Co-Optimizing Workload Skew and Hardware Variability for MoE Serving