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来自 AndyBlocker 的内容源
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68 条内容
AndyBlocker
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
AndyBlocker
Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2
AndyBlocker
Parallelizing Linear Transformers with the Delta Rule over Sequence Length
AndyBlocker
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
AndyBlocker
SpikingBrain-瞬息 1.0技术报告:原生国产自主可控类脑脉冲大模型
AndyBlocker
MLP Memory: Language Modeling with Retriever-pretrained External Memory
AndyBlocker
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
AndyBlocker
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge
AndyBlocker
HYTE: Flexible Tiling for Sparse Accelerators via Hybrid Static-Dynamic Approaches
AndyBlocker
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
AndyBlocker
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and O(T) Complexity
AndyBlocker
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
AndyBlocker
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity
AndyBlocker
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion
AndyBlocker
Recurrent Residual Module for Fast Inference in Videos
AndyBlocker
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
AndyBlocker
SlowFast Networks for Video Recognition
AndyBlocker
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos
AndyBlocker
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks
AndyBlocker
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
AndyBlocker
A Simple Framework for Contrastive Learning of Visual Representations
AndyBlocker
QKFormer: Hierarchical Spiking Transformer using Q-K Attention
AndyBlocker
Transformers without Normalization
AndyBlocker
Visualizing and Understanding the Effectiveness of BERT
AndyBlocker
One-Minute Video Generation with Test-Time Training
AndyBlocker
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
AndyBlocker
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
AndyBlocker
Scalable Diffusion Models with Transformers
AndyBlocker
初探AI Infra
AndyBlocker
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
AndyBlocker
Towards spike-based machine intelligence with neuromorphic computing
AndyBlocker
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
AndyBlocker
WWW: What, When, Where to Compute-in-Memory
AndyBlocker
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
AndyBlocker
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
AndyBlocker
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
AndyBlocker
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication
AndyBlocker
HAWQ: Hessian Aware Quantization of Neural Networks with Mixed-Precision
AndyBlocker
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing
AndyBlocker
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
AndyBlocker
Roofline: An Insightful Visual Performance Model for Floating-Point Programs and Multicore Architectures
AndyBlocker
A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications
AndyBlocker
A Hardware-Software Blueprint for Flexible Deep Learning Specialization
AndyBlocker
BISMO: A Scalable Bit Serial Matrix Multiplication Overlay for Reconfigurable Computing
AndyBlocker
Code Transpilation for Hardware Accelerators
AndyBlocker
Were RNNs All We Needed?
AndyBlocker
SparseRT:Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference
AndyBlocker
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition
AndyBlocker
Memory-Efficient Reversible Spiking Neural Networks
AndyBlocker
SpikeMba: Multi-Modal Spiking Saliency Mamba for Tempoal Video Grounding
AndyBlocker
SNN视频流任务调研
AndyBlocker
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
AndyBlocker
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
AndyBlocker
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
AndyBlocker
程序语言理论笔记
AndyBlocker
The Minimum Equivalent DNF Problem and Shortest Implicants
AndyBlocker
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
AndyBlocker
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
AndyBlocker
SpikeCV: Open a Continuous Computer Vision Era
AndyBlocker
Neuromorphic computing at scale
AndyBlocker
Titans: Learning to Memorize at Test Time
AndyBlocker
Segment Anything
AndyBlocker
SDiT: Spiking Diffusion Model with Transformer
AndyBlocker
2024
AndyBlocker
ConvUNeXt:An efficient convolution neural network for medical image segmentation
AndyBlocker
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
AndyBlocker
ConvNext V2: Co-designing and Scaling ConvNets with Masked Autoencoders
AndyBlocker
A ConvNet for the 2020s
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