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TitleStatusHype
Distance-Based Tree-Sliced Wasserstein DistanceCode0
LLMPerf: GPU Performance Modeling meets Large Language ModelsCode0
Cost-effective Deep Learning Infrastructure with NVIDIA GPUCode0
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs—0
Speedy MASt3R—0
Low Complexity Point Tracking of the Myocardium in 2D EchocardiographyCode1
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers—0
MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based BatchingCode0
MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge—0
TT-GaussOcc: Test-Time Compute for Self-Supervised Occupancy Prediction via Spatio-Temporal Gaussian Splatting—0
OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space ModelsCode2
Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM InferenceCode0
Accelerating MoE Model Inference with Expert Sharding—0
LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference OptimizationCode2
Are We There Yet? A Measurement Study of Efficiency for LLM Applications on Mobile Devices—0
Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data—0
AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution—0
Short-Term Load Forecasting for AI-Data Center—0
AttFC: Attention Fully-Connected Layer for Large-Scale Face Recognition with One GPU—0
Efficient Distillation of Classifier-Free Guidance using AdaptersCode0
Global Context Is All You Need for Parallel Efficient Tractography Parcellation—0
A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation—0
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