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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
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