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Showing 3576–3600 of 5629 papers

TitleStatusHype
Integration of Absolute Orientation Measurements in the KinectFusion Reconstruction pipeline—0
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively?—0
InterTrain: Accelerating DNN Training using Input Interpolation—0
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models—0
Invertible Learned Primal-Dual—0
I/O Lower Bounds for Auto-tuning of Convolutions in CNNs—0
IRLI: Iterative Re-partitioning for Learning to Index—0
Irrational Complex Rotations Empower Low-bit Optimizers—0
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE—0
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
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