% Key papers for Lottery ticket discovery (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2019_the_29159, title = {{The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/972}, } @inproceedings{icml2020_rigging_38707, title = {{Rigging the Lottery: Making All Tickets Winners}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/5808}, } @inproceedings{neurips2019_deconstructing_58093, title = {{Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13529}, } @inproceedings{neurips2019_one_58744, title = {{One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13638}, } @inproceedings{icml2020_linear_38424, title = {{Linear Mode Connectivity and the Lottery Ticket Hypothesis}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6699}, } @inproceedings{iclr2020_playing_29608, title = {{Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=S1xnXRVFwH}, } @inproceedings{iclr2020_drawing_29326, title = {{Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=BJxsrgStvr}, } @inproceedings{icml2020_proving_38658, title = {{Proving the Lottery Ticket Hypothesis: Pruning is All You Need}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6129}, } @inproceedings{neurips2020_winning_61108, title = {{Winning the Lottery with Continuous Sparsification}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18394}, } @inproceedings{aaai2022_gradient_2162, title = {{Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/06577-gradient-flow-in-sparse-neural-networks-and-how-lottery-tickets-win/}, } @inproceedings{neurips2020_the_60949, title = {{The Lottery Ticket Hypothesis for Pre-trained BERT Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18353}, } @inproceedings{aaai2021_winning_1643, title = {{Winning Lottery Tickets in Deep Generative Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/08038-winning-lottery-tickets-in-deep-generative-models/}, } @inproceedings{neurips2022_advancing_66209, title = {{Advancing Model Pruning via Bi-level Optimization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/55360}, } @inproceedings{cvpr2023_memory_21549, title = {{Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21888}, } @inproceedings{iclr2021_multi_30354, title = {{Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3050}, } @inproceedings{neurips2021_validating_62884, title = {{Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/26292}, } @inproceedings{iclr2022_dual_31528, title = {{Dual Lottery Ticket Hypothesis}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6084}, } @inproceedings{icml2021_lottery_39577, title = {{Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/9423}, } @inproceedings{neurips2022_rare_64585, title = {{Rare Gems: Finding Lottery Tickets at Initialization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54046}, } @inproceedings{neurips2021_sanity_62398, title = {{Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/26506}, } @inproceedings{icml2025_sparse_46472, title = {{Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46094}, } @inproceedings{neurips2025_sign_78850, title = {{Sign-In to the Lottery: Reparameterizing Sparse Training}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=iwKT7MEZZw}, } @inproceedings{iclr2025_find_82742, title = {{Find A Winning Sign: Sign Is All We Need to Win the Lottery}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29056}, }