{"total":21,"rows":[{"id":"2101.06983","title":"Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup","created":"2021-01-18","cited_by_count":127,"area":null},{"id":"2103.05487","title":"UnICORNN: A recurrent model for learning very long time dependencies","created":"2021-03-09","cited_by_count":56,"area":null},{"id":"2111.05193","title":"A Survey on Green Deep Learning","created":"2021-11-08","cited_by_count":52,"area":null},{"id":"2302.04869","title":"Reversible Vision Transformers","created":"2023-02-09","cited_by_count":33,"area":null},{"id":"2210.04243","title":"Fine-Tuning Pre-trained Transformers into Decaying Fast Weights","created":"2022-10-09","cited_by_count":26,"area":null},{"id":"2211.14053","title":"Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization","created":"2022-11-25","cited_by_count":19,"area":null},{"id":"2105.14669","title":"Memory-Efficient Differentiable Transformer Architecture Search","created":"2021-05-31","cited_by_count":13,"area":null},{"id":"2401.03728","title":"Generalized Lagrangian Neural Networks","created":"2024-01-08","cited_by_count":10,"area":null},{"id":"2105.03458","title":"Duplex Sequence-to-Sequence Learning for Reversible Machine Translation","created":"2021-05-07","cited_by_count":9,"area":null},{"id":"2104.13101","title":"Initializing LSTM internal states via manifold learning","created":"2021-04-27","cited_by_count":7,"area":null},{"id":"2206.14098","title":"RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network","created":"2022-06-28","cited_by_count":6,"area":null},{"id":"2305.10845","title":"TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model","created":"2023-05-18","cited_by_count":5,"area":null},{"id":"2508.19445","title":"On Surjectivity of Neural Networks: Can you elicit any behavior from your model?","created":"2025-08-26","cited_by_count":4,"area":null},{"id":"2301.11783","title":"Certified Invertibility in Neural Networks via Mixed-Integer Programming","created":"2023-01-27","cited_by_count":3,"area":null},{"id":"2402.14212","title":"Moonwalk: Inverse-Forward Differentiation","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2603.11565","title":"CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2308.08649","title":"Towards Zero Memory Footprint Spiking Neural Network Training","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2312.12781","title":"DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2602.03875","title":"Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2609.39800","title":"Finite-Horizon Fisher Memory in Two-Sided Power-Bounded Recurrent Systems","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.18809","title":"Depth Memory","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}