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Showing 4626–4650 of 5629 papers

TitleStatusHype
iServe: An Intent-based Serving System for LLMs—0
ISO: Overlap of Computation and Communication within Seqenence For LLM Inference—0
Isotonic Data Augmentation for Knowledge Distillation—0
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs—0
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation—0
JamMa: Ultra-lightweight Local Feature Matching with Joint Mamba—0
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading—0
Jellyfish: A Large Language Model for Data Preprocessing—0
John_Snow_Labs@SMM4H’22: Social Media Mining for Health (#SMM4H) with Spark NLP—0
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics—0
Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
k2SSL: A Faster and Better Framework for Self-Supervised Speech Representation Learning—0
Keras Sig: Efficient Path Signature Computation on GPU in Keras 3—0
Kernel Operations on the GPU, with Autodiff, without Memory Overflows—0
Kernel-Segregated Transpose Convolution Operation—0
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning—0
Kevin: Multi-Turn RL for Generating CUDA Kernels—0
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models—0
KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering—0
KinectFusion: Real-Time Dense Surface Mapping and Tracking—0
Kinetic Compressive Sensing—0
KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory—0
Knowledge Distillation of Transformer-based Language Models Revisited—0
Representative Teacher Keys for Knowledge Distillation Model Compression Based on Attention Mechanism for Image Classification—0
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