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Papers

Showing 21012125 of 5629 papers

TitleStatusHype
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUsCode1
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter ModelsCode2
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge RecoveryCode1
Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport ProblemsCode0
Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies0
UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty EstimationCode0
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image ManipulationCode1
Benchmarking GPUs on SVBRDF Extractor Model0
Fine-Tuning Generative Models as an Inference Method for Robotic TasksCode0
Cooperative Minibatching in Graph Neural NetworksCode0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization0
Take the aTrain. Introducing an Interface for the Accessible Transcription of InterviewsCode3
Learning to Generate Parameters of ConvNets for Unseen Image DataCode0
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation0
4K4D: Real-Time 4D View Synthesis at 4K Resolution0
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation CoefficientCode1
LAMP: Learn A Motion Pattern for Few-Shot-Based Video GenerationCode2
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language ModelsCode2
TRANSOM: An Efficient Fault-Tolerant System for Training LLMsCode1
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained EnvironmentsCode0
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language ModelsCode1
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