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awesome-snn-conference-paper

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。
https://github.com/AXYZdong/awesome-snn-conference-paper

Last synced: 6 days ago
JSON representation

  • Neural Networks-2023

  • NeurIPS-2022

    • [paper
    • [paper
    • [paper
    • [paper - loss-information-maximization-loss-for)] [[openreview](https://openreview.net/forum?id=Jw34v_84m2b)]
    • [paper - robust-spiking-neural-network-against)] [[openreview](https://openreview.net/forum?id=Ncyc0JS7Q16)]
    • [paper - spiking-neural-networks-with-local)] [[code](https://github.com/aries231/local_tandem_learning_rule)] [[openreview](https://openreview.net/forum?id=nC8VC8gVGPo)]
    • [paper
    • [paper
    • [paper - modeling-of-hidden-spiking-neurons)] [[code](https://github.com/epfl-lcn/neulvm)] [[openreview](https://openreview.net/forum?id=cYPja_wj9d)]
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper - plausible-solutions-for-spiking)] [[openreview](https://openreview.net/forum?id=zdmYnIRXvKS)]
    • [paper - training-through-time-for-spiking)] [[code](https://github.com/pkuxmq/ottt-snn)] [[openreview](https://openreview.net/forum?id=Siv3nHYHheI)]
    • [paper
    • [paper - of-snn-and-ann-solving-binding-problem)] [[code](https://github.com/monstersecond/dasbe)] [[openreview](https://openreview.net/forum?id=-yiZR4_Xhh)]
    • [paper - a-unified-gated-leaky-integrate-and-fire)] [[code](https://github.com/ikarosy/gated-lif)] [[openreview](https://openreview.net/forum?id=UmFSx2c4ubT)]
    • [paper
    • [paper

  • AAAI-2024

    • [paper - nerf-representing-the-real-world)] [[code](https://github.com/liaozhanfeng/spiking-nerf)]
    • [paper - spiking-graph-neural-networks)]
    • [paper - efficient-reversible-spiking-neural)] [[code](https://github.com/mi804/revsnn)]
    • [paper - lif-a-two-compartment-spiking-neuron-model)] [[code](https://github.com/zhangshimin1/tc-lif)]
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper - the-performance-of-spiking-neural)] [[code](https://github.com/brain-cog-lab/transfer-for-dvs)]
    • [paper - attention-coding-for-training-high)] [[code](https://github.com/bollossom/GAC)]
    • [paper
    • [paper - event-based-motion-deblurring-under)] [[code](https://github.com/chensong1995/deblursr)]
    • [paper
    • [paper - visual-saliency-in-continuous-spike)] [[code](https://github.com/bit-vision/svs)]
    • [paper
    • [paper - distilling-bert-to-train-spiking)] [[code](https://github.com/neurocomplab-psu/spikingbert)]
    • [paper
    • [paper - spike-learning-ternary-spikes-for)] [[code](https://github.com/yfguo91/ternary-spike)]

  • NeurIPS-2024

    • [paper - diffusion-for-neural-spiking-data)]
    • [paper
    • [paper - driving-with-spiking-neural)] [[code](https://github.com/ridgerchu/sad)]
    • [paper
    • [paper - graph-neural-network-on-riemannian)] [[code](https://github.com/ZhenhHuang/MSG)]
    • [paper - neural-network-as-adaptive-event)]
    • [paper
    • [paper
    • [paper - unlocking-temporal-sequences-from)] [[code](https://github.com/chenkang455/s-sdm)]
    • [paper
    • [paper
    • [paper
    • [paper - a-shortcut-back-mitigating-the-gradient)]
    • [paper - a-universal-translator-for-neural)]
    • [paper
    • [paper
    • [paper - training-efficiency-of-deep-spiking)] [[code](https://github.com/tab-ct/rate-based-backpropagation)]
    • [paper
    • [paper - source-free-domain-adaptive-semg)] [[code](https://github.com/guoweiyu/spgesture)]
    • [paper
    • [paper
    • [paper - hierarchical-spiking-transformer)] [[code](https://github.com/zhouchenlin2096/qkformer)]
    • [paper - gradients-for-stochastic-spiking-neural)]
    • [paper - competition-groups-with-supervised)]
    • [paper

  • IJCAI-2024

    • [arxiv - a-spiking-neural-network-for)] [[code](https://github.com/mingtian99/esdnet)]
    • [arxiv - snn-designing-lightweight-and-efficient)]
    • [arxiv - an-efficient-temporal-interaction-module)] [[code](https://github.com/BrainCog-X/Brain-Cog/tree/main/examples/TIM)]
    • [arxiv - inspired-elegance-synergistic)]

  • ICLR-2024

    • [paper
    • [paper - low-complexity-yet-powerful-spiking)] [[code](https://github.com/zeyuliu1037/lmuformer)] [[openreview](https://openreview.net/forum?id=oEF7qExD9F)]
    • [paper
    • [paper
    • [paper
    • [paper - spiking-neural-network-exploiting)] [[openreview](https://openreview.net/forum?id=0jsfesDZDq)]
    • [paper
    • [paper
    • [paper
    • [paper - delays-in-spiking-neural-networks)] [[code](https://github.com/thvnvtos/snn-delays)] [[openreview](https://openreview.net/forum?id=4r2ybzJnmN)]
    • [paper
    • [paper
    • [paper
    • [paper
    • [paper - learning-based-orthogonal-projection)] [[code](https://github.com/pkuxmq/hlop-snn)] [[openreview](https://openreview.net/forum?id=MeB86edZ1P)]
    • [paper - graph-is-worth-1-bit-spikes-when-graph)] [[code](https://github.com/edisonleeeee/spikegcl)] [[openreview](https://openreview.net/forum?id=LnLySuf1vp)]
    • [paper - an-efficient-point-based-spiking)] [[openreview](https://openreview.net/forum?id=7etoNfU9uF)]
    • [paper

  • ICCV-2023

    • [paper - loss-regularizing-membrane-potential)] [[code](https://github.com/yfguo91/mpbn)]
    • [paper - spiking-transformer-enabled-by)] [[code](https://github.com/bic-L/Masked-Spiking-Transformer)]
    • [paper - converted-spiking-neural-network)]
    • [paper - memory-and-time-efficient)] [[code](https://github.com/qymeng94/sltt)]
    • [paper - potential-batch-normalization-for)] [[code](https://github.com/yfguo91/mpbn)]
    • [paper - directly-trained-spiking-neural-networks)] [[code](https://github.com/BICLab/EMS-YOLO)]
    • [paper - the-potential-of-spiking-neural-2)]
    • [paper - coded-spiking-neural-networks-with)]
    • [paper - redundancy-in-spiking-neural)] [[code](https://github.com/biclab/asa-snn)]
    • [paper - accelerating-training-of-spiking-neural)]

  • CVPR-2023

    • [paper - gradient-approximation-attack-threats)] [[code](https://github.com/putshua/snn_attack_rga)]
    • [paper - deep-spiking-neural-networks)]
    • [paper - fps-hdr-video-with-a-spike-rgb-hybrid)]

  • NeurIPS-2023

    • [paper - connectivity-for-recurrent-spiking)] [[openreview](https://openreview.net/forum?id=30o4ARmfC3)]
    • [paper - efficient-event-based-simulation-1)] [[code](https://github.com/rainerengelken/sparseprop)] [[openreview](https://openreview.net/forum?id=yzZbwQPkmP)]
    • [paper - conditioning-spiking-latent-variable)] [[openreview](https://openreview.net/forum?id=V4YeOvsQfu)]
    • [paper
    • [paper
    • [paper - the-spikes-benign-overfitting-of-kernels)] [[code](https://github.com/moritzhaas/mind-the-spikes)] [[openreview](https://openreview.net/forum?id=yjYwbZBJyl)]
    • [paper
    • [paper - pointnet-spiking-neural-networks-for)] [[code](https://github.com/dayongren/spiking-pointnet)] [[openreview](https://openreview.net/forum?id=Ev2XuqvJCy)]
    • [paper - spiking-neurons-with-high-efficiency)] [[code](https://github.com/fangwei123456/parallel-spiking-neuron)] [[openreview](https://openreview.net/forum?id=rfTFJvTkr2)]
    • [paper - adaptive-history-reserving-by-1)] [[openreview](https://openreview.net/forum?id=aGZp61S9Lj)]
    • [paper - the-speed-accuracy-simulation)] [[code](https://github.com/webstorms/blocks)] [[openreview](https://openreview.net/forum?id=Ht79ZTVMsn)]
    • [paper - towards-temporal-spiking-early-exit-1)] [[code](https://github.com/intelligent-computing-lab-yale/seenn)] [[openreview](https://openreview.net/forum?id=mbaN0Y0QTw)]
    • [paper - driven-transformer-1)] [[code](https://github.com/biclab/spike-driven-transformer)] [[openreview](https://openreview.net/forum?id=9FmolyOHi5)]
    • [paper - controlling-q-ensemble-independence-with-1)] [[code](https://github.com/dohyeoklee/SPQR)] [[openreview](https://openreview.net/forum?id=q0sdoFIfNg)]
    • [paper - loss-functions-for-time-based)] [[code](https://github.com/zhuyaoyu/snn-temporal-training-losses)] [[openreview](https://openreview.net/forum?id=8IvW2k5VeA)]
    • [paper
    • [paper
    • [paper - matching-capturing-variability-with)] [[code](https://github.com/epfl-lcn/pub-sourmpis2023-neurips)] [[openreview](https://openreview.net/forum?id=LAbxkhkjbD)]
    • [paper - algorithms-for-the-inhomogeneous)] [[openreview](https://openreview.net/forum?id=xNUmTRYtV1)]
    • [paper - spike-sorting-density-based)] [[code](https://github.com/yzhang511/density_decoding)] [[openreview](https://openreview.net/forum?id=tgQRMrsxht)]
    • [paper - data-transformer-2-multi-context)] [[code](https://github.com/joel99/context_general_bci)] [[openreview](https://openreview.net/forum?id=CBBtMnlTGq)]
    • [paper - training-of-snn-using-local-zeroth)] [[code](https://github.com/bhaskarmukhoty/localzo)] [[openreview](https://openreview.net/forum?id=eTF3VDH2b6)]
    • [paper - optical-flow-estimation-with)] [[openreview](https://openreview.net/forum?id=7gbjsgcN5p)]
    • [paper

  • ICML-2024

    • [paper - complementary-leaky-integrate-and-fire)] [[code](https://github.com/huuyulong/complementary-lif)]
    • [paper
    • [paper
    • [paper - tf-conversion-is-all-you-need-for#code)] [[code](https://github.com/Intelligent-Computing-Research-Group/SpikeZIP-TF)]
    • [paper
    • [paper
    • [paper - and-effective-time-series#code)] [[code](https://github.com/microsoft/seqsnn)]
    • [paper
    • [paper - towards-general-spike-driven-language#code)] [[code](https://github.com/xingrun-xing/spikelm)]
    • [paper - stable-spiking-neural-networks#code)] [[code](https://github.com/DingJianhao/stable-snn)]
    • [paper
    • [paper - spiking-neural-networks-with#code)] [[code](https://github.com/pkuxmq/grsnn)]
    • [paper - gradient-descent-based-neuronal-dynamics#code)] [[code](https://github.com/snuhcs/snn_signgd)]
    • [paper - synaptic-circuit-enhances-spatio#code)] [[code](https://github.com/wangtianyi1874/stclif)]
    • [paper

  • CVPR-2024

  • ICASSP-2024

  • PAMI-2024

    • [paper - hybrid-neural-coding-approach-for-pattern)] [[code](https://github.com/xychen-comp/hybrid-coding-snn)]
    • [paper - plasticity-inspired-adaptive)]

  • TNNLS-2024

  • ICASSP-2023

  • IJCNN-2023

  • PAMI-2023

  • TNNLS-2023

  • CVPR-2022

    • [paper - transformers-for-event-based-single)]
    • [paper - inspired-multilayer-perceptron-with)] [[code](https://github.com/huawei-noah/Efficient-AI-Backbones)]
    • [paper - high-performance-low-latency-spiking)] [[code](https://github.com/qymeng94/dsr)]
    • [paper - snn-rectifying-membrane-potential)]
    • [paper - based-video-reconstruction-via)] [[code](https://github.com/LinZhu111/EVSNN)]
    • [paper - optical-flow-estimation-for-spiking)] [[code](https://github.com/acnext/optical-flow-for-spiking-camera)]

  • AAAI-2023

    • [paper - ann-snn-conversion-error-through)] [[code](https://github.com/hzc1208/ANN2SNN_SRP)]
    • [paper - spiking-neural-networks-with-high)] [[code](https://github.com/grasshlw/snn-neural-similarity)]
    • [paper - snns-an-evolutionary-structure-learning)]
    • [paper - dynamic-neurons-improved-spiking)] [[code](https://github.com/MingLunHan/CIF-PyTorch)]
    • [paper
    • [paper
    • [paper - temporal-information-dynamics-in)] [[code](https://github.com/intelligent-computing-lab-yale/exploring-temporal-information-dynamics-in-spiking-neural-networks)]
    • [paper - up-dynamic-graph-representation)] [[code](https://github.com/edisonleeeee/spikenet)]
    • [paper
    • [paper
    • [paper

  • ICML-2023

  • ICLR-2023

    • [paper - the-gap-between-anns-and-snns-by)] [[code](https://github.com/hzc1208/ann2snn_cos)] [[openreview](https://openreview.net/forum?id=PFbzoWZyZRX)]
    • [paper - neuronal-and-synaptic-dynamics)] [[openreview](https://openreview.net/forum?id=QIRtAqoXwj)]
    • [paper
    • [paper - when-spiking-neural-network-meets)] [[code](https://github.com/zk-zhou/spikformer)] [[openreview](https://openreview.net/forum?id=frE4fUwz_h)]

  • IJCAI-2023

  • ECCV-2022

    • [paper - data-augmentation-for-training)] [[code](https://github.com/intelligent-computing-lab-yale/nda_snn)]
    • [paper
    • [paper
    • [paper - spike-learning-real-valued-spikes-for)] [[code](https://github.com/yfguo91/Real-Spike)]
    • [paper - ticket-hypothesis-for-spiking-neural)] [[code](https://github.com/intelligent-computing-lab-yale/exploring-lottery-ticket-hypothesis-in-snns)]
    • [paper - architecture-search-for-spiking-neural)] [[code](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)]
    • [paper
    • [paper

  • ICASSP-2022

  • AAAI-2022

    • [paper - potential-initialization-for-low)]
    • [paper
    • [paper - fully-privacy-preserving-spiking)]
    • [paper
    • [paper - spiking-variational-autoencoder)] [[code](https://github.com/kamata1729/FullySpikingVAE)]
    • [paper - neural-networks-with-improved)] [[code](https://github.com/wponghiran/imp-snns-for-sl)]
    • [paper - flownet)]

  • ICML-2022

    • [paper
    • [paper - towards-energy-efficient-spiking)] [[code](https://github.com/nabk89/autosnn)]
    • [paper - spike-and-slab)] [[code](https://github.com/niloyb/scalespikeslab)]
    • [paper

  • IJCAI-2022

    • [paper - and-accurate-conversion-of-spiking)] [[code](https://github.com/brain-inspired-cognitive-engine/conversion_burst)]
    • [paper - graph-convolutional-networks-1)] [[code](https://github.com/zulunzhu/spikinggcn)]
    • [paper
    • [paper
    • [paper - level-firing-with-spiking-ds-resnet)] [[code](https://github.com/langfengq/mlf-dsresnet)]

  • ICLR-2022

    • [paper - ann-snn-conversion-for-high-accuracy-1)] [[code](https://github.com/putshua/SNN_conversion_QCFS)] [[openreview](https://openreview.net/forum?id=7B3IJMM1k_M)]
    • [paper - inspired-rank-coding-for-fast-and)] [[code](https://github.com/NeuromorphicComputing/RankCoding)] [[openreview](https://openreview.net/forum?id=iMH1e5k7n3L)]
    • [paper - approximation-using-feedforward)] [[openreview](https://openreview.net/forum?id=bp-LJ4y_XC)]
    • [paper - efficient-training-of-spiking-neural-1)] [[code](https://github.com/gus-lab/temporal_efficient_training)] [[openreview](https://openreview.net/forum?id=_XNtisL32jv)]

  • IJCNN-2022

  • IEEE TCYB (IEEE Transactions on Cybernetics)

  • NEURAL COMPUTATION

  • Neural Networks-2022

  • NeurIPS-2021

    • [paper - supervised-learning-of-event-based)] [[openreview](https://openreview.net/forum?id=MySjw6CHPa4)]
    • [paper - spiking-gradient-descent)] [[code](https://github.com/npvoid/SparseSpikingBackprop)] [[openreview](https://openreview.net/forum?id=aLE2sEtMNXv)]
    • [paper - universal-probabilistic-spike-count-model)] [[openreview](https://openreview.net/forum?id=6ZdqOpE_UVF)]
    • [paper - feedback-spiking-neural-networks-by)] [[code](https://github.com/pkuxmq/ide-fsnn)] [[openreview](https://openreview.net/forum?id=f2Llmm_z5Sm)]
    • [paper - tensor-decomposition-of-neural)] [[code](https://github.com/hugosou/vbgcp)] [[openreview](https://openreview.net/forum?id=1bBF5Zq1YHz)]
    • [paper - to-time-decode-in-spiking-neural)] [[openreview](https://openreview.net/forum?id=Fw0IQgaGlhh)]
    • [paper - summary-statistics-of-neural-data)] [[code](https://github.com/epfl-lcn/pub-bellec-wang-2021-sample-and-measure)] [[openreview](https://openreview.net/forum?id=9DEAT9pDiN)]
    • [paper - based-residual-blocks)] [[code](https://github.com/fangwei123456/Spike-Element-Wise-ResNet)]
    • [paper - dimensional-spike-localization-and)] [[openreview](https://openreview.net/forum?id=ohfi44BZPC4)]
    • [paper - spike-rethinking-gradient)] [[openreview](https://openreview.net/forum?id=H4e7mBnC9f0)]

  • CVPR-2021

    • [paper - learning-to-reconstruct-dynamic)]

  • ICLR-2021

    • [paper - inference-of-nonparametric)] [[openreview](https://openreview.net/forum?id=aGfU_xziEX8)]
    • [paper - conversion-of-conventional-artificial-1)] [[code](https://github.com/Jackn0/snn_optimal_conversion_pipeline)] [[openreview](https://openreview.net/forum?id=FZ1oTwcXchK)]

  • ICCV-2021

    • [paper - snn-harnessing-the-inherent-robustness-1)] [[code](https://github.com/ksouvik52/hiresnn2021)]
    • [paper - snn-using-dct-to-distribute-spatial)]
    • [paper - resolve-dynamic-scene-from-continuous)]
    • [paper - integrate-and-fire-spiking-neuron-with)] [[code](https://github.com/fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron)]
    • [paper - wise-attention-spiking-neural)]

  • ICML-2021

    • [paper - of-signal-in-the-spiked-rectangular)]
    • [paper - differentiable-point-process-with-its)] [[code](https://github.com/ibm-research-tokyo/diffsnn)]
    • [paper - free-lunch-from-ann-towards-efficient)] [[code](https://github.com/yhhhli/SNN_Calibration)]
    • [paper - neighborhood-aggregation-for)]

  • IJCAI-2021

    • [paper - of-deep-spiking-neural-networks)] [[code](https://github.com/Yanqi-Chen/Gradient-Rewiring)]
    • [paper
    • [paper - ann-snn-conversion-for-fast-and)] [[code](https://github.com/DingJianhao/OptSNNConvertion-RNL-RIL)]
    • [paper - spiking-dynamics-with-spatial)]

  • AAAI-2021

    • [paper
    • [paper - and-benchmark-for-converting-deep-q)]
    • [paper
    • [paper
    • [paper - deeper-with-directly-trained-larger)] [[code](https://github.com/thiswinex/STBP-simple)]
    • [paper - training-based-spiking-convolutional)] [[code](https://github.com/zbs881314/Temporal-Coded-Deep-SNN)]

  • NeurIPS-2020

    • [paper - neural-spike-train-models-from-bad)] [[code](https://github.com/diegoarri91/mmd-glm)]
    • [paper - dynamics-of-optimally-balanced-1)] [[code](https://github.com/Pehlevan-Group/BalancedEIMinimax)]
    • [paper - rank-one-spikes-from-heavy-tailed)]
    • [paper - spiking-networks-through-convex)] [[code](https://github.com/machenslab/spikes)]
    • [paper - spike-sequence-learning-via)] [[code](https://github.com/stonezwr/TSSL-BP)]
    • [paper - process-models-for-sequence-detection)] [[code](https://github.com/lindermanlab/PPSeq.jl)]
    • [paper - and-slab-variational-bayes-for-high)]
    • [paper - or-nothing-statistical-and-computational)]
    • [paper - guarantees-for-low-rank-matrix)]
    • [paper - activation-and-timing-based-learning)] [[code](https://github.com/KyungsuKim42/ANTLR)]

  • CVPR-2020

    • [paper - like-visual-image-reconstruction-via)]
    • [paper - snns-residual-membrane-potential-neuron)] [[code](https://github.com/facebookarchive/fb.resnet.torch)]

  • ICLR-2020

    • [paper - based-causal-inference-for-weight-1)] [[code](https://github.com/nasiryahm/STDWI)] [[openreview](https://openreview.net/forum?id=rJxWxxSYvB)]
    • [paper
    • [paper - deep-spiking-neural-networks-with-1)] [[code](https://github.com/nitin-rathi/hybrid-snn-conversion)] [[openreview](https://openreview.net/forum?id=B1xSperKvH)]

  • ECCV-2020

  • ICML-2020

    • [paper - non-conjugate-gaussian-process)]

  • IJCAI-2020

    • [paper
    • [paper - neuron-and-synapse-filter-dynamics)] [[code](https://github.com/Snow-Crash/snn-iir)]

  • AAAI-2020

    • [paper
    • [paper - aer-object-classification-using)]
    • [paper - plausible-sequence-learning-with)]
    • [paper
    • [paper - yolo-spiking-neural-network-for-real)]

  • NeurIPS-2019

    • [paper - spiked-matrix-model-with-generative)] [[code](https://github.com/sphinxteam/StructuredPrior_demo)]
    • [paper - repo/lfads-cd)]
    • [paper - spike-source-localization-in)] [[code](https://github.com/colehurwitz/vae_spike_localization)]
    • [paper - train-level-backpropagation-for)] [[code](https://github.com/stonezwr/ST-RSBP)]
    • [paper - is-afraid-of-big-bad-minima-analysis-of-1)] [[code](https://github.com/sphinxteam/spiked_matrix-tensor_T0)]

  • ICML-2019

    • [paper
    • [paper - joint-spike-and-slab-graphical-lasso)] [[code](https://github.com/richardli/SSJGL)]
    • [paper

  • IJCAI-2019

  • AAAI-2019

  • NeurIPS-2018

    • [paper
    • [paper - macromicro-level-backpropagation-for)] [[code](https://github.com/jinyyy666/mm-bp-snn)]
    • [paper - spike-layer-error-reassignment-in-time)] [[code](https://bitbucket.org/bamsumit/slayer)]
    • [paper - short-term-memory-and-learning-to-learn)] [[code](https://github.com/IGITUGraz/LSNN-official)]
    • [paper - alignment-and-latent-gaussian)]

  • ICLR-2018

    • [paper - efficient-deep-learning-with)] [[code](https://github.com/petered/pdnn)] [[openreview](https://openreview.net/forum?id=HkZy-bW0-)]

  • ICML-2018

    • [paper - linear-motor-control-by-local-learning-in)] [[code](https://github.com/adityagilra/FOLLOWControl)]

  • IJCAI-2018

  • AAAI-2018

  • ECCV-2024

    • [paper
    • [paper - enhancing-the-performance-of-learning)] [[code](https://github.com/intelligent-computing-research-group/bkdsnn)]
    • [paper - snn-end-to-end-adaptive-sampling-and)] [[code](https://github.com/windere/eas-snn)]
    • [paper
    • [paper
    • [paper - valued-training-and-spike-driven)] [[code](https://github.com/biclab/spikeyolo)]
    • [paper
    • [paper
    • [paper
    • [paper - wavelet-transformer)] [[code](https://github.com/bic-l/spiking-wavelet-transformer)]
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