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Showing 4651–4700 of 5629 papers

TitleStatusHype
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control—0
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback—0
KPNet: Towards Minimal Face Detector—0
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference—0
KunServe: Efficient Parameter-centric Memory Management for LLM Serving—0
KurTail : Kurtosis-based LLM Quantization—0
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization—0
KVDirect: Distributed Disaggregated LLM Inference—0
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs—0
L2PF -- Learning to Prune Faster—0
L3: DIMM-PIM Integrated Architecture and Coordination for Scalable Long-Context LLM Inference—0
Label Delay in Online Continual Learning—0
Label-Looping: Highly Efficient Decoding for Transducers—0
Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation—0
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings—0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning—0
LAMP: Learn A Motion Pattern for Few-Shot Video Generation—0
LaneSegNet Design Study—0
Language Modeling at Scale—0
Language verY Rare for All—0
Large Batch and Patch Size Training for Medical Image Segmentation—0
Lillama: Large Language Models Compression via Low-Rank Feature Distillation—0
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation—0
Large Scale Artificial Neural Network Training Using Multi-GPUs—0
Large-Scale Cox Process Inference using Variational Fourier Features—0
Large-Scale Deep Learning on the YFCC100M Dataset—0
Large-scale GPU-based network analysis of the human T-cell receptor repertoire—0
Large-Scale Paralleled Sparse Principal Component Analysis—0
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation—0
Large-Scale Stochastic Learning using GPUs—0
Large-Scale Training System for 100-Million Classification at Alibaba—0
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes—0
Latent fingerprint minutia extraction using fully convolutional network—0
Latents of latents to delineate pixels: hybrid Matryoshka autoencoder-to-U-Net pairing for segmenting large medical images in GPU-poor and low-data regimes—0
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation—0
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation—0
Layered gradient accumulation and modular pipeline parallelism: fast and efficient training of large language models—0
Layered Interpretation of Street View Images—0
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid—0
Layer Pruning on Demand with Intermediate CTC—0
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees—0
Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement—0
LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning—0
Lean and Mean: Decoupled Value Policy Optimization with Global Value Guidance—0
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid—0
Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making—0
Learned Block-based Hybrid Image Compression—0
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
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