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Showing 1501–1525 of 5629 papers

TitleStatusHype
Token-wise Influential Training Data Retrieval for Large Language ModelsCode1
SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space ModelCode2
Hybrid CNN-Transformer Architecture for Efficient Large-Scale Video Snapshot Compressive ImagingCode1
Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging GeometriesCode2
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal LengthCode2
ENOVA: Autoscaling towards Cost-effective and Stable Serverless LLM Serving—0
Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction—0
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining—0
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language ModelsCode1
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language ModelCode2
The Developing Human Connectome Project: A Fast Deep Learning-based Pipeline for Neonatal Cortical Surface ReconstructionCode1
Computation-Aware Kalman Filtering and SmoothingCode1
Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis—0
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach—0
No Time to Waste: Squeeze Time into Channel for Mobile Video UnderstandingCode1
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis—0
Do Bayesian imaging methods report trustworthy probabilities?—0
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation—0
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPUCode3
Differentiable Model Scaling using Differentiable TopkCode1
Sparse Sampling is All You Need for Fast Wrong-way Cycling Detection in CCTV Videos—0
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks—0
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models—0
Aerial-NeRF: Adaptive Spatial Partitioning and Sampling for Large-Scale Aerial Rendering—0
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection—0
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