Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization | Paper Citation Record

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This paper cites When machine learning meets privacy: A survey and outlook,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization When machine learning meets privacy: A survey and outlook,

Reference 1

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This paper cites Sok: Security and privacy in machine learning,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Sok: Security and privacy in machine learning,

Reference 2

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This paper cites DeepReach: a deep learning approach to high-dimensional reachability,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization DeepReach: a deep learning approach to high-dimensional reachability,

Reference 3

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This paper cites A neural network approach applied to multi-agent optimal control,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization A neural network approach applied to multi-agent optimal control,

Reference 4

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This paper cites Learning certified control using contraction metric,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Learning certified control using contraction metric,

Reference 5

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This paper cites Learning in the wild: When, how, and what to learn for on-device dataset adaptation,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Learning in the wild: When, how, and what to learn for on-device dataset adaptation,

Reference 6

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This paper cites EF-train: Enable efficient on-device CNN training on FPGA through data reshaping for online adaptation or personalization,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization EF-train: Enable efficient on-device CNN training on FPGA through data reshaping for online adaptation or personalization,

Reference 7

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This paper cites BOOST: block minifloat-based on-device CNN training accelerator with transfer learning,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization BOOST: block minifloat-based on-device CNN training accelerator with transfer learning,

Reference 8

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This paper cites ETA: an efficient training accelerator for DNNs based on hardware-algorithm co-optimization,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization ETA: an efficient training accelerator for DNNs based on hardware-algorithm co-optimization,

Reference 9

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Observation 560807a6-ef4c-4e23-906f-82521fb2e969 · outbound

This paper cites Training deep neural networks in low-precision with high accuracy using FPGAs,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Training deep neural networks in low-precision with high accuracy using FPGAs,

Reference 10

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This paper cites FAST: DNN training under variable precision block floating point with stochastic rounding,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization FAST: DNN training under variable precision block floating point with stochastic rounding,

Reference 11

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This paper cites Attention is all you need,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Attention is all you need,

Reference 12

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

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 13

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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This paper cites Segment anything,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Segment anything,

Reference 15

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This paper cites PINNsFormer: A transformer- based framework for physics-informed neural networks,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization PINNsFormer: A transformer- based framework for physics-informed neural networks,

Reference 16

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Observation ae96de93-2f5c-4ad9-a2de-f2b488434dc5 · outbound

This paper cites Federated learning in asr: Not as easy as you think,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Federated learning in asr: Not as easy as you think,

Reference 17

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This paper cites Federated Domain Adaptation for ASR with Full Self-Supervision.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Federated Domain Adaptation for ASR with Full Self-Supervision

Reference 18

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This paper cites BEBERT: efficient and robust binary ensemble BERT,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization BEBERT: efficient and robust binary ensemble BERT,

Reference 19

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This paper cites BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge

Reference 20

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This paper cites Training deep neural networks with 8-bit floating point numbers,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Training deep neural networks with 8-bit floating point numbers,

Reference 21

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This paper cites Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding

Reference 22

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This paper cites LoRETTA: low-rank eco- nomic tensor-train adaptation for ultra-low-parameter fine-tuning of large language models,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization LoRETTA: low-rank eco- nomic tensor-train adaptation for ultra-low-parameter fine-tuning of large language models,

Reference 23

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This paper cites AdaZeta: adaptive zeroth-order tensor-train adaption for memory- efficient large language models fine-tuning,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization AdaZeta: adaptive zeroth-order tensor-train adaption for memory- efficient large language models fine-tuning,

Reference 24

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This paper cites An algorithm–hardware co-optimized framework for accelerating N: M sparse transformers,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization An algorithm–hardware co-optimized framework for accelerating N: M sparse transformers,

Reference 25

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This paper cites Efficient N: M sparse DNN training using algorithm, architecture, and dataflow co-design,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Efficient N: M sparse DNN training using algorithm, architecture, and dataflow co-design,

Reference 26

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This paper cites MINILM: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization MINILM: Deep self-attention distillation for task-agnostic compression of pre- trained transformers,

Reference 27

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This paper cites Wanda++: Pruning large language models via regional gradients,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Wanda++: Pruning large language models via regional gradients,

Reference 28

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This paper cites Compressing dma engine: Leveraging activation sparsity for training deep neural networks,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Compressing dma engine: Leveraging activation sparsity for training deep neural networks,

Reference 29

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This paper cites Quantized neural networks: Training neural networks with low pre- cision weights and activations,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Quantized neural networks: Training neural networks with low pre- cision weights and activations,

Reference 30

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This paper cites Deep learning with limited numerical precision,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Deep learning with limited numerical precision,

Reference 31

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This paper cites Ultra- low precision 4-bit training of deep neural networks,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Ultra- low precision 4-bit training of deep neural networks,

Reference 32

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This paper cites Tensor decompositions and applications,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensor decompositions and applications,

Reference 33

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This paper cites Speeding-up convolutional neural networks using fine-tuned cp- decomposition,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Speeding-up convolutional neural networks using fine-tuned cp- decomposition,

Reference 34

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This paper cites Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

Reference 35

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This paper cites Fast video facial expression recognition by deeply tensor-compressed LSTM neural network on mobile device,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Fast video facial expression recognition by deeply tensor-compressed LSTM neural network on mobile device,

Reference 36

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Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensorizing neural networks,

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This paper cites Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation

Reference 38

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This paper cites Tensorized embedding layers,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensorized embedding layers,

Reference 39

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This paper cites A tensorized transformer for language modeling,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization A tensorized transformer for language modeling,

Reference 40

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This paper cites TIE: energy- efficient tensor train-based inference engine for deep neural network,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization TIE: energy- efficient tensor train-based inference engine for deep neural network,

Reference 41

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This paper cites ETTE: Efficient tensor-train-based computing engine for deep neural networks,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization ETTE: Efficient tensor-train-based computing engine for deep neural networks,

Reference 42

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This paper cites TT-CIM: Tensor train decomposition for neural network in rram-based compute-in-memory systems,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization TT-CIM: Tensor train decomposition for neural network in rram-based compute-in-memory systems,

Reference 43

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This paper cites 15.4 a 5.99-to-691.1 TOPS/W tensor-train in- memory-computing processor using bit-level-sparsity-based optimiza- tion and variable-precision quantization,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization 15.4 a 5.99-to-691.1 TOPS/W tensor-train in- memory-computing processor using bit-level-sparsity-based optimiza- tion and variable-precision quantization,

Reference 44

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This paper cites Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 45

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This paper cites Tensorized optical multimodal fusion network,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensorized optical multimodal fusion network,

Reference 46

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This paper cites Real-time fj/mac pde solvers via tensorized, back- propagation-free optical pinn training,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Real-time fj/mac pde solvers via tensorized, back- propagation-free optical pinn training,

Reference 47

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This paper cites The ATIS spoken language systems pilot corpus,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization The ATIS spoken language systems pilot corpus,

Reference 48

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This paper cites Tensor-train decomposition,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensor-train decomposition,

Reference 49

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This paper cites Tensor-train recurrent neural net- works for video classification,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensor-train recurrent neural net- works for video classification,

Reference 50

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Observation f6012b34-4f7d-441d-a7cd-af7b8c441173 · outbound

This paper cites Learning compact recurrent neural networks with block-term tensor decompo- sition,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Learning compact recurrent neural networks with block-term tensor decompo- sition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.215107Z

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Observation 0808fd52-35a3-4acd-be49-6e3a8b198d0c · outbound

This paper cites Towards compact neural networks via end-to-end training: A Bayesian tensor approach with automatic rank determination,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Towards compact neural networks via end-to-end training: A Bayesian tensor approach with automatic rank determination,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.199924Z

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Observation 3cb058de-3320-459c-86b2-e51f08f14a82 · outbound

This paper cites Bayesian tensorized neural networks with automatic rank selection,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Bayesian tensorized neural networks with automatic rank selection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.184999Z

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Observation 8b321dcc-e70b-469d-8449-ac5f6d2f3161 · outbound

This paper cites Compressing 3D CNNs based on tensor train decomposition,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Compressing 3D CNNs based on tensor train decomposition,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.170445Z

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Observation c2f7b994-8d20-4ea8-827a-0ec5374e1923 · outbound

This paper cites Nonlinear tensor train format for deep neural network compression,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Nonlinear tensor train format for deep neural network compression,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.154340Z

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Observation a07ed29c-6697-4acd-8162-6332b808ec5c · outbound

This paper cites CoMERA: Computing-and memory-efficient training via rank-adaptive tensor optimization,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization CoMERA: Computing-and memory-efficient training via rank-adaptive tensor optimization,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.136889Z

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Observation d0fd9345-174b-4ce1-b0da-e0f801bac2b1 · outbound

This paper cites An FPGA-based processor for training convolutional neural networks,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization An FPGA-based processor for training convolutional neural networks,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.121361Z

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Observation 1505b83c-b241-4ee2-ba12-8d8c38345706 · outbound

This paper cites Automatic compiler based FPGA accelerator for CNN training,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Automatic compiler based FPGA accelerator for CNN training,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.105553Z

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Observation c563c2d9-fcea-4869-b147-b062f291e149 · outbound

This paper cites FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory,.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.089897Z

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Observation 1ed1fc16-e507-47e4-9e6e-f0eafa3719ba · outbound

This paper cites for leadership in research and development on circuits and processes for the evolution of microprocessors.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization for leadership in research and development on circuits and processes for the evolution of microprocessors

Reference 1983

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:02:35.075105Z

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