Papers citing 'Incremental Sampling Without Replacement for Sequence Models'

Title
GraphXForm: Graph transformer for computer-aided molecular designDigital Discovery (DD), 2024 Jonathan Pirnay Jan G. Rittig Alexander B. Wolf Martin Grohe Jakob Burger Alexander Mitsos D. G. Grimm AI4CE 256 4 0 03 Nov 2024
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization Jonathan Pirnay D. G. Grimm BDL 170 4 0 24 Jul 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 247 0 0 13 Mar 2024
LambdaBeam: Neural Program Search with Higher-Order Functions and LambdasNeural Information Processing Systems (NeurIPS), 2023 Kensen Shi H. Dai Wen-Ding Li Kevin Ellis Charles Sutton 144 8 0 03 Jun 2023
Predictive Querying for Autoregressive Neural Sequence ModelsNeural Information Processing Systems (NeurIPS), 2022 Alex Boyd Samuel Showalter Stephan Mandt Padhraic Smyth BDL AI4TS 193 4 0 12 Oct 2022
Unbiased and Efficient Sampling of Dependency TreesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Milovs Stanojević 139 3 0 25 May 2022
CrossBeam: Learning to Search in Bottom-Up Program SynthesisInternational Conference on Learning Representations (ICLR), 2022 Kensen Shi H. Dai Kevin Ellis Charles Sutton NAI 63 27 0 20 Mar 2022
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 224 117 0 04 Oct 2021
Conditional Poisson Stochastic Beam SearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Clara Meister Afra Amini Tim Vieira Robert Bamler 129 12 0 22 Sep 2021
Determinantal Beam SearchAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Clara Meister Martina Forster Robert Bamler 153 16 0 14 Jun 2021