TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning | Paper Citation Record

Observation a7073061-8feb-452e-9b4a-243ef264ac6f · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.645708Z

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Observation fadfe25b-8f42-419e-8df2-725a7f8dec74 · outbound

This paper cites InProceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design(2024), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design(2024), pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.597360Z

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Observation 7dadb451-9fe8-416c-9b5c-86917d441172 · outbound

This paper cites Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.638009Z

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Observation abf8588a-cdaa-4170-bd63-19bee28d64d9 · outbound

This paper cites In2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)(Washington, DC, USA, 2019), IEEE/ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning In2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)(Washington, DC, USA, 2019), IEEE/ACM, pp

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.638151Z

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Observation 4b4e2407-5347-4c60-91bb-1866fa06d597 · outbound

This paper cites [6]Bemporad, A.Active learning for regression by inverse distance weighting.Information Sciences 626(2023), 275–292.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning [6]Bemporad, A.Active learning for regression by inverse distance weighting.Information Sciences 626(2023), 275–292

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.664975Z

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Observation 6a858fe0-f647-4f96-8a7f-2dbd296340c1 · outbound

This paper cites InThe Eleventh International Conference on Learning Representations(Kigali, Rwanda, 2022), OpenReview.net.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InThe Eleventh International Conference on Learning Representations(Kigali, Rwanda, 2022), OpenReview.net

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.572773Z

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Observation 854f223a-070e-4047-ace6-0dcc8ff27049 · outbound

This paper cites In Proceedings of the IEEE/CVF International Conference on Computer Vision(2025), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning In Proceedings of the IEEE/CVF International Conference on Computer Vision(2025), pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.634922Z

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Observation 4c4519f0-269d-4af2-8fb4-e158b04d5b60 · outbound

This paper cites {TVM}: An automated {End-to-End} optimizing compiler for deep learning.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning {TVM}: An automated {End-to-End} optimizing compiler for deep learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.625563Z

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Observation 58950830-0245-437a-9816-e33d3e6b45ed · outbound

This paper cites cuDNN: Efficient Primitives for Deep Learning.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning cuDNN: Efficient Primitives for Deep Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:51:00.633875Z

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Observation 71f463d9-f555-4884-bde8-28d5db83f2fe · outbound

This paper cites [14]Foley, D., and Danskin, J.Ultra-performance pascal gpu and nvlink interconnect.IEEE Micro 37, 2 (2017), 7–17.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning [14]Foley, D., and Danskin, J.Ultra-performance pascal gpu and nvlink interconnect.IEEE Micro 37, 2 (2017), 7–17

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.587916Z

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Observation 75dc1473-15f1-4fbb-a983-cb13ca5fc530 · outbound

This paper cites InInternational conference on machine learning(2017), PMLR, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InInternational conference on machine learning(2017), PMLR, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.662255Z

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Observation 666c1d98-60ab-4fea-bf5b-4e3fcf5b6c62 · outbound

This paper cites InProceedings of the International Conference on Parallel Architectures and Compilation Techniques(New York, NY, USA, 2022), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the International Conference on Parallel Architectures and Compilation Techniques(New York, NY, USA, 2022), ACM, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.653807Z

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Observation 959965b1-0e3d-40ff-84a3-65a17f8a8cf4 · outbound

This paper cites Multi-Partner Project: COIN-3D -- Collaborative Innovation in 3D VLSI Reliability.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Multi-Partner Project: COIN-3D -- Collaborative Innovation in 3D VLSI Reliability

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-25T01:17:49.402278Z

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Observation bba280bb-2a2f-41d1-a637-f8eefc789dce · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:56.209065Z

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Observation 923d1536-5f2d-447f-af48-4f7cbb180d87 · outbound

This paper cites an unresolved cited work.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:45:06.618962Z

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Observation 63ace1de-a7b0-4e12-b157-25ea8e4601f0 · outbound

This paper cites an unresolved cited work.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:45:06.616136Z

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Observation 68bb81cb-19a7-415d-8e85-25366e597aaf · outbound

This paper cites InProceedings of the Nineteenth European Conference on Computer Systems(Athens, Greece, 2024), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the Nineteenth European Conference on Computer Systems(Athens, Greece, 2024), ACM, pp

Reference 17

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Observation 77583725-e9a7-4f8c-8966-180d1d690123 · outbound

This paper cites A Novel Evaluation Framework for Image2Text Generation.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning A Novel Evaluation Framework for Image2Text Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.670343Z

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Observation 73db35bd-b7d4-4a36-86fb-d29ffc93a8ee · outbound

This paper cites InProceedings of the 22nd ACM international conference on Multimedia(2014), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 22nd ACM international conference on Multimedia(2014), pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.656704Z

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Observation af4e7913-71f3-4958-94fe-dc07e06a5f9e · outbound

This paper cites Dissecting the Graphcore IPU Architecture via Microbenchmarking.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Dissecting the Graphcore IPU Architecture via Microbenchmarking

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.691710Z

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Observation 64fe8ffd-df6b-4405-9472-a63b516fca63 · outbound

This paper cites P., et al.In-datacenter performance analysis of a tensor processing unit.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning P., et al.In-datacenter performance analysis of a tensor processing unit

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.650949Z

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Observation 0e805495-14c7-4dd5-9b59-9fe8bcc9e666 · outbound

This paper cites an unresolved cited work.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:45:06.690629Z

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Observation 8ee23a35-0a1d-419d-b51a-37f988612f03 · outbound

This paper cites C.Unlabeled data selection for active learning in image classification.Scientific Reports 14, 1 (2024), 424.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning C.Unlabeled data selection for active learning in image classification.Scientific Reports 14, 1 (2024), 424

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.581827Z

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Observation 8c599350-76d7-4b41-8609-0e7877f7daba · outbound

This paper cites I.Transferable representation learning with deep adaptation networks.IEEE transactions on pattern analysis and machine intelligence 41, 12 (2018), 3071–3085.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning I.Transferable representation learning with deep adaptation networks.IEEE transactions on pattern analysis and machine intelligence 41, 12 (2018), 3071–3085

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.594054Z

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Observation 83783206-909a-4d22-b341-495a94154a7f · outbound

This paper cites T., Adams, A., Sharlet, D., Ragan-Kelley, J., and Fatahalian, K.Automatically scheduling halide image processing pipelines.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning T., Adams, A., Sharlet, D., Ragan-Kelley, J., and Fatahalian, K.Automatically scheduling halide image processing pipelines

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.682540Z

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Observation 13bc8ecb-9392-4816-9b68-bebddcabe985 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning PyTorch: An Imperative Style, High-Performance Deep Learning Library

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Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T09:51:00.657572Z

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Observation 1bc41d2f-c2d9-49f4-a771-17f3dc65c394 · outbound

This paper cites InProceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(Rotterdam, Netherlands, 2025), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(Rotterdam, Netherlands, 2025), ACM, pp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.584912Z

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Observation 7bb7ed98-85df-4d4e-a2a9-c6f4a4d805cd · outbound

This paper cites Relay: A High-Level Compiler for Deep Learning.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Relay: A High-Level Compiler for Deep Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.664649Z

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Observation b3bc29fe-9dae-4883-a8ca-3d6a94ea281e · outbound

This paper cites InProceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction(Seoul South Korea, 2022), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction(Seoul South Korea, 2022), ACM, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.659528Z

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Observation a251c330-a455-4c39-9431-cb65a0ffef1a · outbound

This paper cites MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:51:00.652710Z

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Observation 2f66489e-6801-4072-babe-620a06e4ec27 · outbound

This paper cites D., and Pathania, A.Macp: Minimal yet mighty adaptation via hierarchical cosine projection.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning D., and Pathania, A.Macp: Minimal yet mighty adaptation via hierarchical cosine projection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.628910Z

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Observation 46c9fb7d-41ac-47be-a979-bb9f1476c78e · outbound

This paper cites D., and Pathania, A.Ssh: Sparse spectrum adaptation via discrete hartley transformation.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning D., and Pathania, A.Ssh: Sparse spectrum adaptation via discrete hartley transformation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.603660Z

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Observation 65ddf449-44e8-49ba-8e69-5644e12023db · outbound

This paper cites D., and Pathania, A.Efficient multimodal spatial reasoning via dynamic and asymmetric routing.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning D., and Pathania, A.Efficient multimodal spatial reasoning via dynamic and asymmetric routing

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.591168Z

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Observation 511775f1-c13d-45dd-a345-454205e33c45 · outbound

This paper cites D.Thermal management for 3d-stacked systems via unified core-memory power regulation.ACM Transactions on Embedded Computing Systems 22, 5s (2023), 1–26.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning D.Thermal management for 3d-stacked systems via unified core-memory power regulation.ACM Transactions on Embedded Computing Systems 22, 5s (2023), 1–26

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.578963Z

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Observation 8b45d271-d11f-4974-9e2c-08d86a16c6a3 · outbound

This paper cites J.Tbal: Two-stage batch-mode active learning for image classification.Signal Processing: Image Communication 106(2022), 116731.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning J.Tbal: Two-stage batch-mode active learning for image classification.Signal Processing: Image Communication 106(2022), 116731

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.694730Z

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Observation 202a258f-f2d2-48b7-b6d4-8dfad0ec60b0 · outbound

This paper cites D.Tcps: a task and cache-aware partitioned scheduler for hard real-time multi-core systems.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning D.Tcps: a task and cache-aware partitioned scheduler for hard real-time multi-core systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.678694Z

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Observation 7a8c0638-d7e6-4c3c-9e31-7bce5130480a · outbound

This paper cites In Proceedings of the 2025 International Conference on Artificial Intelligence and Computational Intelligence(2025), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning In Proceedings of the 2025 International Conference on Artificial Intelligence and Computational Intelligence(2025), pp

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.671362Z

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Observation 6bb1086a-1e31-410a-91aa-9222c607ea71 · outbound

This paper cites an unresolved cited work.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:45:06.631826Z

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Observation 94547372-8aad-48de-b5d2-85aaf16cafd6 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems 33, 4 (2020), 1364–1384.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning IEEE Transactions on Neural Networks and Learning Systems 33, 4 (2020), 1364–1384

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.600295Z

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Observation 78c7cdc7-c9e7-4b3c-ae86-79b909836bb5 · outbound

This paper cites M., Emani, M., and Chapman, B.Transfer learning across heterogeneous features for efficient tensor program generation.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning M., Emani, M., and Chapman, B.Transfer learning across heterogeneous features for efficient tensor program generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.698137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66f33068-fe66-4666-b016-dac176e38e1c · outbound

This paper cites InThe Thirty-ninth Annual Conference on Neural Information Processing Systems(2025).

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InThe Thirty-ninth Annual Conference on Neural Information Processing Systems(2025)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.613238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c51bb29b-7e8a-4bbe-82b4-73b177de6760 · outbound

This paper cites InProceedings of the 27th ACM international conference on information and knowledge management(Torino,Italy, 2018), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 27th ACM international conference on information and knowledge management(Torino,Italy, 2018), ACM, pp

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.610325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9c6626c-ac79-408a-98e3-8d9e1d79a1ba · outbound

This paper cites M., Wolff, J., Shen, Y., Pathania, A., Grelck, C., and Pimentel, A.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning M., Wolff, J., Shen, Y., Pathania, A., Grelck, C., and Pimentel, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.606510Z

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Observation d6a35cae-3bbb-496a-814a-f999e368f91c · outbound

This paper cites In2020 IEEE 38th International Conference on Computer Design (ICCD)(Hartford, Massachusetts, USA, 2020), IEEE, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning In2020 IEEE 38th International Conference on Computer Design (ICCD)(Hartford, Massachusetts, USA, 2020), IEEE, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.645363Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ac9f151-a10e-4a6b-9511-f8250bda2ac6 · outbound

This paper cites InProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(Vancouver, BC, Canada, 2023), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2(Vancouver, BC, Canada, 2023), ACM, pp

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.668351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2c61282-57b2-4f6f-81ea-43d8512ab25d · outbound

This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing(2025), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing(2025), pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.701456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06afc798-4b2b-40c4-b765-8e9ba527f4bf · outbound

This paper cites InProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3(2024), pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3(2024), pp

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.575745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 633c5208-fa48-44a9-84a6-059365045e47 · outbound

This paper cites InProceedings of the 24th International Workshop on Mobile Computing Systems and Applications(Newport Beach, CA, USA, 2023), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the 24th International Workshop on Mobile Computing Systems and Applications(Newport Beach, CA, USA, 2023), ACM, pp

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.686601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a1c33597-0367-49bd-b184-7b7c2375eb6f · outbound

This paper cites In14th USENIX symposium on operating systems design and implementation (OSDI 20)(Banff, Alberta, Canada, 2020), USENIX, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning In14th USENIX symposium on operating systems design and implementation (OSDI 20)(Banff, Alberta, Canada, 2020), USENIX, pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.622369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd424032-8235-4199-a92d-d6ec0107dad9 · outbound

This paper cites InThirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)(Online Conference, Canada, 2021), Curran Associates, Inc.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InThirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1)(Online Conference, Canada, 2021), Curran Associates, Inc

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.642086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fab86e1c-c51d-4d33-a3c5-a8adffcb41fc · outbound

This paper cites InProceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems(Lausanne, Switzerland, 2020), ACM, pp.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning InProceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems(Lausanne, Switzerland, 2020), ACM, pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.674977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c2a9335-0760-4e8f-86e8-eddfd049711c · outbound

This paper cites Manuscript submitted to ACM.

TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning Manuscript submitted to ACM

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:45:06.648059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers