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Showing 4876–4900 of 5629 papers

TitleStatusHype
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning—0
ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers—0
MEX: Memory-efficient Approach to Referring Multi-Object Tracking—0
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training—0
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring—0
microYOLO: Towards Single-Shot Object Detection on Microcontrollers—0
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network—0
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models—0
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation—0
Minimal Solutions to Generalized Three-View Relative Pose Problem—0
minimax: Efficient Baselines for Autocurricula in JAX—0
Minimax Strikes Back—0
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation—0
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU—0
MIS-SLAM: Real-time Large Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation—0
Mixed-Precision Embedding Using a Cache—0
Mixed Reality Depth Contour Occlusion Using Binocular Similarity Matching and Three-dimensional Contour Optimisation—0
Mixed Sparsity Training: Achieving 4 FLOP Reduction for Transformer Pretraining—0
Mixture of Experts with Mixture of Precisions for Tuning Quality of Service—0
Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness—0
ML-driven Hardware Cost Model for MLIR—0
MLTCP: Congestion Control for DNN Training—0
ML-Triton, A Multi-Level Compilation and Language Extension to Triton GPU Programming—0
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