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Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

起居室老虎 • AndyBlocker • 2 小时 20 分钟前

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2

起居室老虎 • AndyBlocker • 9 天前

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

起居室老虎 • AndyBlocker • 12 天前

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity

起居室老虎 • AndyBlocker • 14 天前

SpikingBrain-瞬息 1.0技术报告：原生国产自主可控类脑脉冲大模型

起居室老虎 • AndyBlocker • 22 天前

MLP Memory: Language Modeling with Retriever-pretrained External Memory

起居室老虎 • AndyBlocker • 43 天前

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

起居室老虎 • AndyBlocker • 54 天前

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge

起居室老虎 • AndyBlocker • 92 天前

HYTE: Flexible Tiling for Sparse Accelerators via Hybrid Static-Dynamic Approaches

起居室老虎 • AndyBlocker • 104 天前

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

起居室老虎 • AndyBlocker • 106 天前

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and O(T) Complexity

起居室老虎 • AndyBlocker • 112 天前

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN

起居室老虎 • AndyBlocker • 118 天前

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity

起居室老虎 • AndyBlocker • 118 天前

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion

起居室老虎 • AndyBlocker • 119 天前

Recurrent Residual Module for Fast Inference in Videos

起居室老虎 • AndyBlocker • 120 天前

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

起居室老虎 • AndyBlocker • 120 天前

SlowFast Networks for Video Recognition

起居室老虎 • AndyBlocker • 133 天前

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

起居室老虎 • AndyBlocker • 137 天前

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks

起居室老虎 • AndyBlocker • 139 天前

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness

起居室老虎 • AndyBlocker • 139 天前

A Simple Framework for Contrastive Learning of Visual Representations

起居室老虎 • AndyBlocker • 140 天前

QKFormer: Hierarchical Spiking Transformer using Q-K Attention

起居室老虎 • AndyBlocker • 152 天前

Transformers without Normalization

起居室老虎 • AndyBlocker • 153 天前

Visualizing and Understanding the Effectiveness of BERT

起居室老虎 • AndyBlocker • 154 天前

One-Minute Video Generation with Test-Time Training

起居室老虎 • AndyBlocker • 168 天前

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

起居室老虎 • AndyBlocker • 169 天前

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute

起居室老虎 • AndyBlocker • 175 天前

Scalable Diffusion Models with Transformers

起居室老虎 • AndyBlocker • 205 天前

初探AI Infra

起居室老虎 • AndyBlocker • 210 天前

Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference

起居室老虎 • AndyBlocker • 213 天前

Towards spike-based machine intelligence with neuromorphic computing

起居室老虎 • AndyBlocker • 213 天前

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

起居室老虎 • AndyBlocker • 213 天前

WWW: What, When, Where to Compute-in-Memory

起居室老虎 • AndyBlocker • 213 天前

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

起居室老虎 • AndyBlocker • 213 天前

SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks

起居室老虎 • AndyBlocker • 213 天前

PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

起居室老虎 • AndyBlocker • 213 天前

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication

起居室老虎 • AndyBlocker • 213 天前

HAWQ: Hessian Aware Quantization of Neural Networks with Mixed-Precision

起居室老虎 • AndyBlocker • 213 天前

Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing

起居室老虎 • AndyBlocker • 213 天前

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

起居室老虎 • AndyBlocker • 213 天前

Roofline: An Insightful Visual Performance Model for Floating-Point Programs and Multicore Architectures

起居室老虎 • AndyBlocker • 213 天前

A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications

起居室老虎 • AndyBlocker • 213 天前

A Hardware-Software Blueprint for Flexible Deep Learning Specialization

起居室老虎 • AndyBlocker • 213 天前

BISMO: A Scalable Bit Serial Matrix Multiplication Overlay for Reconfigurable Computing

起居室老虎 • AndyBlocker • 213 天前

Code Transpilation for Hardware Accelerators

起居室老虎 • AndyBlocker • 213 天前

Were RNNs All We Needed?

起居室老虎 • AndyBlocker • 213 天前

SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference

起居室老虎 • AndyBlocker • 213 天前

VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition

起居室老虎 • AndyBlocker • 213 天前

Memory-Efficient Reversible Spiking Neural Networks

起居室老虎 • AndyBlocker • 213 天前

SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding

起居室老虎 • AndyBlocker • 213 天前

SNN视频流任务调研

起居室老虎 • AndyBlocker • 213 天前

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN

起居室老虎 • AndyBlocker • 213 天前

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

起居室老虎 • AndyBlocker • 213 天前

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models

起居室老虎 • AndyBlocker • 213 天前

程序语言理论笔记

起居室老虎 • AndyBlocker • 213 天前

The Minimum Equivalent DNF Problem and Shortest Implicants

起居室老虎 • AndyBlocker • 213 天前

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

起居室老虎 • AndyBlocker • 213 天前

Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition

起居室老虎 • AndyBlocker • 213 天前

SpikeCV: Open a Continuous Computer Vision Era

起居室老虎 • AndyBlocker • 213 天前

Neuromorphic computing at scale

起居室老虎 • AndyBlocker • 213 天前

Titans: Learning to Memorize at Test Time

起居室老虎 • AndyBlocker • 213 天前

Segment Anything

起居室老虎 • AndyBlocker • 213 天前

SDiT: Spiking Diffusion Model with Transformer

起居室老虎 • AndyBlocker • 213 天前

2024

起居室老虎 • AndyBlocker • 213 天前

ConvUNeXt:An efficient convolution neural network for medical image segmentation

起居室老虎 • AndyBlocker • 213 天前

Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks

起居室老虎 • AndyBlocker • 213 天前

ConvNext V2: Co-designing and Scaling ConvNets with Masked Autoencoders

起居室老虎 • AndyBlocker • 213 天前

A ConvNet for the 2020s

起居室老虎 • AndyBlocker • 213 天前