SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks | Paper Citation Record

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This paper cites Z., and Shah, M.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Z., and Shah, M

Reference 1

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This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Bottom-up and top-down attention for image captioning and visual question answering

Reference 2

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This paper cites M., Kok, J.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks M., Kok, J

Reference 3

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This paper cites and Dan, Y.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks and Dan, Y

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This paper cites Extracting training data from large language models.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Extracting training data from large language models

Reference 5

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This paper cites Deep reinforcement learning with spiking q-learning, 2024.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Deep reinforcement learning with spiking q-learning, 2024

Reference 6

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This paper cites and Triggs, B.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks and Triggs, B

Reference 7

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

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This paper cites The llama 3 herd of models.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks The llama 3 herd of models

Reference 10

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This paper cites Deep residual learning in spiking neural networks.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Deep residual learning in spiking neural networks

Reference 11

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This paper cites Large-scale neuromorphic computing systems.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Large-scale neuromorphic computing systems

Reference 12

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This paper cites J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y

Reference 13

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Reference 14

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This paper cites Image captioning: Transforming objects into words.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Image captioning: Transforming objects into words

Reference 15

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This paper cites Hybrid macro/micro level backpropagation for training deep spiking neural networks.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Hybrid macro/micro level backpropagation for training deep spiking neural networks

Reference 16

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This paper cites Synaptic plasticity dynamics for deep continuous local learning (decolle).

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Synaptic plasticity dynamics for deep continuous local learning (decolle)

Reference 17

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks u chemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., G \

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This paper cites K., Sain, A., Chowdhury, P.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks K., Sain, A., Chowdhury, P

Reference 19

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This paper cites Multi-head hashing with orthogonal decomposition for cross-modal retrieval.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Multi-head hashing with orthogonal decomposition for cross-modal retrieval

Reference 21

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Reference 22

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Physics for neuromorphic computing

Reference 23

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This paper cites X-linear attention networks for image captioning.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks X-linear attention networks for image captioning

Reference 24

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Exploring models and data for image question answering

Reference 26

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Towards spike-based machine intelligence with neuromorphic computing

Reference 27

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This paper cites Going deeper in spiking neural networks: Vgg and residual architectures.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Going deeper in spiking neural networks: Vgg and residual architectures

Reference 28

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This paper cites Knowledge-enhanced dual-stream zero-shot composed image retrieval.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Knowledge-enhanced dual-stream zero-shot composed image retrieval

Reference 29

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks R., Masquelier, T., and Maida, A

Reference 30

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks T., Malliaras, G., and Salleo, A

Reference 31

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks N., Kaiser, ., and Polosukhin, I

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks End-to-end transformer based model for image captioning

Reference 34

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Spatio-temporal backpropagation for training high-performance spiking neural networks

Reference 36

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Video graph transformer for video question answering

Reference 37

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Image-text retrieval with main semantics consistency

Reference 38

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Msr-vtt: A large video description dataset for bridging video and language

Reference 39

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Show, attend and tell: Neural image caption generation with visual attention

Reference 40

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Dense captioning with joint inference and visual context

Reference 41

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Stacked attention networks for image question answering

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Spike-driven transformer

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Meacap: Memory-augmented zero-shot image captioning

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks and Li, P

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Nature , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks arXiv e-prints , pages=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Frontiers in neuroscience , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks International Journal of Computer Vision , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks IEEE Transactions on Neural Networks and Learning Systems , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Advances in neural information processing systems , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Frontiers in Neuroscience , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Advances in neural information processing systems , volume=

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Advances in neural information processing systems , volume=

Reference 63

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Spikformer: When Spiking Neural Network Meets Transformer

Reference 66

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Reference 68

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Reference 69

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Reference 70

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Reference 71

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Reference 72

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Reference 73

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Reference 74

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Reference 75

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Reference 76

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Reference 77

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Spiking Deep Networks with LIF Neurons

Reference 78

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Reference 79

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Reference 80

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Reference 81

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 82

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks

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Reference 84

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Reference 85

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Reference 86

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Reference 87

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Reference 88

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Reference 89

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Reference 90

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Reference 91

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SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks 30th USENIX Security Symposium (USENIX Security 21) , pages=

Reference 92

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Reference 93

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Reference 94

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Reference 95

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Reference 98

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Reference 99

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Reference 100

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Reference 102

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Reference 103

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Observation 74305918-fd9e-4503-87c1-ad82a5777081 · outbound

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Reference 104

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Reference 105

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T00:04:39.432319Z

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Pith citing papers