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Showing 2851–2900 of 5629 papers

TitleStatusHype
Training Linear Finite-State Machines—0
Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems—0
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards—0
Training Recurrent Neural Networks against Noisy Computations during Inference—0
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer—0
Training with reduced precision of a support vector machine model for text classification—0
TrainVerify: Equivalence-Based Verification for Distributed LLM Training—0
Trajectory Optimization for Spatial Microstructure Control in Electron Beam Metal Additive Manufacturing—0
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger—0
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework—0
Tree Tensor Networks for Generative Modeling—0
Triangle Splatting for Real-Time Radiance Field Rendering—0
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency—0
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks—0
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California—0
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis—0
TT-GaussOcc: Test-Time Compute for Self-Supervised Occupancy Prediction via Spatio-Temporal Gaussian Splatting—0
Tuned and GPU-accelerated parallel data mining from comparable corpora—0
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning—0
STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining—0
Turbo: Opportunistic Enhancement for Edge Video Analytics—0
TurboTransformers: An Efficient GPU Serving System For Transformer Models—0
Turn Waste into Worth: Rectifying Top-k Router of MoE—0
Two-level Group Convolution—0
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT—0
Two-Stream Transformer Architecture for Long Video Understanding—0
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory—0
UCNN: A Convolutional Strategy on Unstructured Mesh—0
Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition—0
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache—0
UKAN: Unbound Kolmogorov-Arnold Network Accompanied with Accelerated Library—0
Ultrafast Focus Detection for Automated Microscopy—0
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation—0
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes—0
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning—0
Ultra-Long Sequence Distributed Transformer—0
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization—0
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images—0
Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices—0
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning—0
Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation—0
Understanding the Role of Self Attention for Efficient Speech Recognition—0
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale—0
Under the Hood of Tabular Data Generation Models: Benchmarks with Extensive Tuning—0
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data—0
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification—0
Unfolding and Shrinking Neural Machine Translation Ensembles—0
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models—0
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