---
title: "Quoc Viet Le — all works, page 2 — Elamur Research"
description: "All 243 works of Quoc Viet Le in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Quoc Viet Le — all works

243 works · page 2 of 3 · 101–200 · [← Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/)

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101. **[Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing ↗](https://arxiv.org/abs/2006.03236) arXiv (Cornell University) · no summary yet**Dai, Zihang et al.*2020 · 194 citations*
102. **[Heteroscedastic Gaussian process regression ↗](https://doi.org/10.1145/1102351.1102413) International Conference on Machine Learning · no summary yet**Quoc Viet Le, Alex J. Smola, Stéphane Canu*2005 · 181 citations*
103. **[BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗](https://doi.org/10.1109/jstsp.2022.3182537) IEEE Journal of Selected Topics in Signal Processing · no summary yet**Yu Zhang et al.*2022 · 180 citations*
104. **[A scalable modular convex solver for regularized risk minimization ↗](https://doi.org/10.1145/1281192.1281270) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Choon Hui Teo et al.*2007 · 174 citations*
105. **[Long-form factuality in large language models](https://md.research.elamur.ai/free/en/papers/wei-2024-long-form-factuality-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jerry Wei, Chengrun Yang, Xinying Song, et al.*2024 · 165 citations*
106. **[HyperNetworks ↗](https://arxiv.org/abs/1609.09106) arXiv (Cornell University) · no summary yet**David Ha, Andrew Dai, Quoc Viet Le*2016 · 165 citations*
107. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training arXiv:2501.17161**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
108. **[DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining ↗](https://arxiv.org/abs/2305.10429) arXiv:2305.10429 · no summary yet**Sang Michael Xie et al.*2023 · 156 citations*
109. **[Effective Domain Mixing for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Denny Britz, Quoc Le, Reid Pryzant*2017 · 156 citations*
110. **[Chip Placement with Deep Reinforcement Learning ↗](https://arxiv.org/abs/2004.10746) arXiv (Cornell University) · no summary yet**Azalia Mirhoseini et al.*2020 · 154 citations*
111. **[Specaugment on Large Scale Datasets ↗](https://doi.org/10.1109/icassp40776.2020.9053205) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Daniel Park et al.*2020 · 154 citations*
112. **[Estimating Labels from Label Proportions ↗](https://doi.org/10.5555/1577069.1755865) no summary yet**Novi Quadrianto et al.*2009 · 154 citations*
113. **[Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing ↗](https://arxiv.org/abs/1807.02322) arXiv (Cornell University) · no summary yet**Liang Chen et al.*2018 · 150 citations*
114. **[Neural Programmer: Inducing Latent Programs with Gradient Descent ↗](https://arxiv.org/abs/1511.04834) arXiv:1511.04834 · no summary yet**Arvind Neelakantan, Quoc V. Le, Ilya Sutskever*2015 · 142 citations*
115. **[AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ↗](https://arxiv.org/abs/2003.03384) arXiv (Cornell University) · no summary yet**Esteban Real et al.*2020 · 135 citations*
116. [**FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation arXiv:2310.03214**Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/)
117. [**Simple synthetic data reduces sycophancy in large language models arXiv:2308.03958**Jerry Wei, Da Huang, Yifeng Lu, et al.*2023 · 134 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-simple-synthetic-data-reduces-sycophancy/)
118. [**Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models arXiv:2310.06117**Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-take-step-back-evoking-reasoning/)
119. **[Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS ↗](https://doi.org/10.1109/cvpr42600.2020.01433) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Gabriel Bender et al.*2020 · 124 citations*
120. **[Grasping novel objects with depth segmentation ↗](https://doi.org/10.1109/iros.2010.5650493) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**D Rao et al.*2010 · 124 citations*
121. **[Bundle Methods for Machine Learning ↗](https://openalex.org/W2105636360) neural information processing systems · no summary yet**Quoc Viet Le, Alex J. Smola, S. V. N. Vishwanathan*2007 · 124 citations*
122. **[Learning to grasp objects with multiple contact points ↗](https://doi.org/10.1109/robot.2010.5509508) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Quoc Viet Le et al.*2010 · 118 citations*
123. **[Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ↗](https://openalex.org/W2995628494) International Conference on Learning Representations · no summary yet**Xinyun Chen et al.*2020 · 116 citations*
124. **[Learning to Skim Text ↗](https://aclanthology.org/P17-1172/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Adams Wei Yu, Hongrae Lee, Quoc Le*2017 · 116 citations*
125. **[A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks ↗](https://openalex.org/W2554518797) no summary yet**Quoc Viet Le*2015 · 106 citations*
126. **[Learning Longer-term Dependencies in RNNs with Auxiliary Losses ↗](https://arxiv.org/abs/1803.00144) arXiv (Cornell University) · no summary yet**Trieu H. Trinh et al.*2018 · 104 citations*
127. [**Rationale-Augmented Ensembles in Language Models arXiv:2207.00747**Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.*2022 · 101 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-rationale-augmented-ensembles-language-models/)
128. **[Fastfood - Computing Hilbert Space Expansions in loglinear time ↗](https://openalex.org/W175700287) International Conference on Machine Learning · no summary yet**Quoc Viet Le, Tamás Sarlós, Alexander Johannes Smola*2013 · 101 citations*
129. **[Neural Input Search for Large Scale Recommendation Models ↗](https://doi.org/10.1145/3394486.3403288) ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · no summary yet**Manas Joglekar et al.*2020 · 100 citations*
130. **[A Hierarchical Model for Device Placement ↗](https://openalex.org/W2786414509) International Conference on Learning Representations · no summary yet**Azalia Mirhoseini et al.*2018 · 100 citations*
131. [**Transformer Quality in Linear Time arXiv:2202.10447**Weizhe Hua, Zihang Dai, Hanxiao Liu, et al.*2022 · 99 citations*](https://md.research.elamur.ai/free/en/papers/hua-2022-transformer-quality-linear-time/)
132. **[Pre-Training Transformers as Energy-Based Cloze Models ↗](https://aclanthology.org/2020.emnlp-main.20/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Kevin Clark et al.*2020 · 98 citations*
133. **[Direct Optimization of Ranking Measures ↗](https://arxiv.org/abs/0704.3359) arXiv (Cornell University) · no summary yet**Quoc Viet Le, Alexander Johannes Smola*2007 · 94 citations*
134. **[SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network ↗](https://arxiv.org/abs/2104.02133) arXiv (Cornell University) · no summary yet**William Chan et al.*2021 · 92 citations*
135. **[Smooth Adversarial Training ↗](https://arxiv.org/abs/2006.14536) arXiv (Cornell University) · no summary yet**Cihang Xie et al.*2020 · 92 citations*
136. **[High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening ↗](https://doi.org/10.1109/robot.2009.5152750) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Morgan Quigley et al.*2009 · 91 citations*
137. **[Domain Adaptive Transfer Learning with Specialist Models ↗](https://arxiv.org/abs/1811.07056) arXiv (Cornell University) · no summary yet**Jiquan Ngiam et al.*2018 · 87 citations*
138. **[Multi-Task Self-Training for Learning General Representations ↗](https://doi.org/10.1109/iccv48922.2021.00873) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Golnaz Ghiasi et al.*2021 · 86 citations*
139. **[Pay Attention to MLPs ↗](https://arxiv.org/abs/2105.08050) arXiv (Cornell University) · no summary yet**Hanxiao Liu et al.*2021 · 82 citations*
140. **[Learning a Natural Language Interface with Neural Programmer ↗](https://arxiv.org/abs/1611.08945) arXiv:1611.08945 · no summary yet**Arvind Neelakantan et al.*2016 · 79 citations*
141. **[Selfie: Self-supervised Pretraining for Image Embedding ↗](https://arxiv.org/abs/1906.02940) arXiv (Cornell University) · no summary yet**Trieu H. Trinh, Minh-Thang Luong, Quoc Viet Le*2019 · 78 citations*
142. **[FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ↗](https://aclanthology.org/2024.findings-acl.813/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Tu Vu et al.*2024 · 74 citations*
143. **[AirDialogue: An Environment for Goal-Oriented Dialogue Research ↗](https://aclanthology.org/D18-1419/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wei Wei et al.*2018 · 73 citations*
144. **[Symbol tuning improves in-context learning in language models ↗](https://aclanthology.org/2023.emnlp-main.61/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jerry Wei et al.*2023 · 68 citations*
145. **[Improving 3D Object Detection Through Progressive Population Based Augmentation ↗](https://doi.org/10.1007/978-3-030-58589-1_17) Lecture notes in computer science · no summary yet**Shuyang Cheng et al.*2020 · 67 citations*
146. **[Noise2Music: Text-conditioned Music Generation with Diffusion Models ↗](https://arxiv.org/abs/2302.03917) arXiv (Cornell University) · no summary yet**Qingqing Huang et al.*2023 · 66 citations*
147. **[Mapping maintenance for data integration systems ↗](https://openalex.org/W2157617239) no summary yet**Robert McCann et al.*2005 · 64 citations*
148. **[Inverse Scaling Can Become U-Shaped ↗](https://aclanthology.org/2023.emnlp-main.963/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jason Wei et al.*2023 · 62 citations*
149. **[MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices ↗](https://doi.org/10.1109/cvpr42600.2020.01362) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bo Chen et al.*2020 · 62 citations*
150. **[Tighter Bounds for Structured Estimation ↗](https://openalex.org/W2158460069) no summary yet**Olivier Chapelle et al.*2008 · 62 citations*
151. **[Learning Graph Matching ↗](https://doi.org/10.1109/iccv.2007.4408838) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Tibério S. Caetano et al.*2007 · 62 citations*
152. **[Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗](https://arxiv.org/abs/2402.03620) arXiv:2402.03620 · no summary yet**Pei Zhou et al.*2024 · 61 citations*
153. **[A full-stack search technique for domain optimized deep learning accelerators ↗](https://doi.org/10.1145/3503222.3507767) arXiv:2105.12842 · no summary yet**Dan Zhang et al.*2022 · 55 citations*
154. **[Evolving Normalization-Activation Layers ↗](https://arxiv.org/abs/2004.02967) arXiv (Cornell University) · no summary yet**Hanxiao Liu et al.*2020 · 54 citations*
155. **[STraTA: Self-Training with Task Augmentation for Better Few-shot Learning ↗](https://aclanthology.org/2021.emnlp-main.462/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tu Vu et al.*2021 · 52 citations*
156. **[Scalable learning for object detection with GPU hardware ↗](https://doi.org/10.1109/iros.2009.5354084) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Adam Coates et al.*2009 · 52 citations*
157. **[Joint calibration of multiple sensors ↗](https://doi.org/10.1109/iros.2009.5354272) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Quoc Viet Le, Andrew Ng*2009 · 52 citations*
158. **[NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗](https://arxiv.org/abs/2406.04520) arXiv:2406.04520 · no summary yet**Huaixiu Steven Zheng et al.*2024 · 51 citations*
159. **[Searching for Efficient Transformers for Language Modeling ↗](https://openalex.org/W3213305054) neural information processing systems · no summary yet**David R. So et al.*2021 · 51 citations*
160. **[Transformer-XL: Language Modeling with Longer-Term Dependency ↗](https://openalex.org/W2906625520) no summary yet**Zihang Dai et al.*2018 · 51 citations*
161. **[A Bayesian Perspective on Generalization and Stochastic Gradient Descent ↗](https://arxiv.org/abs/1710.06451) arXiv (Cornell University) · no summary yet**Samuel L. Smith, Quoc Viet Le*2017 · 51 citations*
162. **[An Online Sequence-to-Sequence Model Using Partial Conditioning ↗](https://arxiv.org/abs/1511.04868) arXiv (Cornell University) · no summary yet**Navdeep Jaitly et al.*2015 · 49 citations*
163. **[Proximal regularization for online and batch learning ↗](https://doi.org/10.1145/1553374.1553407) International Conference on Machine Learning · no summary yet**Chuong B. Do, Quoc Viet Le, Chuan-Sheng Foo*2009 · 45 citations*
164. **[Latent Sequence Decompositions ↗](https://arxiv.org/abs/1610.03035) arXiv (Cornell University) · no summary yet**Chan, William et al.*2016 · 42 citations*
165. **[Low-cost accelerometers for robotic manipulator perception ↗](https://doi.org/10.1109/iros.2010.5649804) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Morgan Quigley et al.*2010 · 40 citations*
166. **[Primer: Searching for Efficient Transformers for Language Modeling ↗](https://arxiv.org/abs/2109.08668) arXiv (Cornell University) · no summary yet**David R. So et al.*2021 · 39 citations*
167. **[Saccader: Improving Accuracy of Hard Attention Models for Vision ↗](https://arxiv.org/abs/1908.07644) arXiv (Cornell University) · no summary yet**Gamaleldin F. Elsayed, Simon Kornblith, Quoc Viet Le*2019 · 39 citations*
168. **[Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses ↗](https://doi.org/10.1145/3613905.3651093) Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yet**Xiao Ma et al.*2024 · 36 citations*
169. **[Searching for Fast Model Families on Datacenter Accelerators ↗](https://doi.org/10.1109/cvpr46437.2021.00799) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Sheng Li et al.*2021 · 36 citations*
170. **[Appendix: Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2184557417) no summary yet**Quoc Viet Le et al.*2012 · 35 citations*
171. **[Diversity and Depth in Per-Example Routing Models ↗](https://openalex.org/W2922485096) International Conference on Learning Representations · no summary yet**Prajit Ramachandran, Quoc Viet Le*2018 · 33 citations*
172. **[Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 ↗](https://arxiv.org/abs/2502.03544) arXiv:2502.03544 · no summary yet**Yuri Chervonyi et al.*2025 · 31 citations*
173. **[Combined Scaling for Zero-shot Transfer Learning ↗](https://arxiv.org/abs/2111.10050) arXiv:2111.10050 · no summary yet**Hieu Pham et al.*2021 · 31 citations*
174. **[AutoHAS: Efficient Hyperparameter and Architecture Search ↗](https://arxiv.org/abs/2006.03656) arXiv (Cornell University) · no summary yet**Xuanyi Dong et al.*2020 · 31 citations*
175. **[Neural Program Synthesis with Priority Queue Training ↗](https://arxiv.org/abs/1801.03526) arXiv (Cornell University) · no summary yet**Daniel A. Abolafia et al.*2018 · 30 citations*
176. **[Simpler knowledge-based support vector machines ↗](https://doi.org/10.1145/1143844.1143910) International Conference on Machine Learning · no summary yet**Quoc Viet Le, Alex J. Smola, Thomas Gärtner*2006 · 30 citations*
177. **[Using Videos to Evaluate Image Model Robustness ↗](https://arxiv.org/abs/1904.10076) arXiv (Cornell University) · no summary yet**Keren Gu et al.*2019 · 28 citations*
178. **[Intriguing Properties of Adversarial Examples ↗](https://arxiv.org/abs/1711.02846) arXiv (Cornell University) · no summary yet**Ekin D. Cubuk et al.*2017 · 28 citations*
179. **[High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks ↗](https://arxiv.org/abs/1911.01655) arXiv (Cornell University) · no summary yet**Ruben Villegas et al.*2019 · 26 citations*
180. **[Do Language Models Have Common Sense ↗](https://openalex.org/W2908460844) no summary yet**Trieu H. Trinh, Quoc Viet Le*2018 · 26 citations*
181. **[Learning invariant features of tumor signatures ↗](https://doi.org/10.1109/isbi.2012.6235544) IEEE International Symposium on Biomedical Imaging (ISBI) · no summary yet**Quoc Viet Le et al.*2012 · 26 citations*
182. **[Evolving Reinforcement Learning Algorithms ↗](https://arxiv.org/abs/2101.03958) arXiv (Cornell University) · no summary yet**John D. Co-Reyes et al.*2021 · 22 citations*
183. **[Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ↗](https://arxiv.org/abs/1711.02301) arXiv (Cornell University) · no summary yet**Maithra Raghu et al.*2017 · 21 citations*
184. **[Hierarchical Planning for Device Placement ↗](https://openalex.org/W2789114636) no summary yet**Azalia Mirhoseini et al.*2018 · 20 citations*
185. **[HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning ↗](https://doi.org/10.1007/978-3-031-72980-5_17) Lecture notes in computer science · no summary yet**Zhecan Wang et al.*2024 · 18 citations*
186. **[Large-Scale Multiclass Transduction ↗](https://openalex.org/W2130526125) no summary yet**Thomas Gärtner et al.*2005 · 18 citations*
187. **[Using Web Co-occurrence Statistics for Improving Image Categorization ↗](https://arxiv.org/abs/1312.5697) arXiv (Cornell University) · no summary yet**Samy Bengio et al.*2013 · 17 citations*
188. **[Faster Discovery of Neural Architectures by Searching for Paths in a Large Model ↗](https://openalex.org/W2787387029) International Conference on Learning Representations · no summary yet**Hieu Pham et al.*2018 · 15 citations*
189. **[Towards Autonomous Mathematics Research ↗](https://arxiv.org/abs/2602.10177) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 13 citations*
190. **[Addendum: A graph placement methodology for fast chip design ↗](https://doi.org/10.1038/s41586-024-08032-5) Nature · no summary yet**Anna Goldie et al.*2024 · 13 citations*
191. **[The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study ↗](https://arxiv.org/abs/1905.03776) arXiv (Cornell University) · no summary yet**Daniel Park et al.*2019 · 13 citations*
192. **[Fastfood: Approximate Kernel Expansions in Loglinear Time ↗](https://arxiv.org/abs/1408.3060) arXiv (Cornell University) · no summary yet**Quoc Viet Le, Tamás Sarlós, Alexander Johannes Smola*2014 · 13 citations*
193. **[Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems ↗](https://arxiv.org/abs/2601.22401) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 12 citations*
194. **[PyGlove: Symbolic Programming for Automated Machine Learning ↗](https://arxiv.org/abs/2101.08809) arXiv (Cornell University) · no summary yet**Daiyi Peng et al.*2021 · 12 citations*
195. **[Towards Domain-Agnostic Contrastive Learning ↗](https://arxiv.org/abs/2011.04419) arXiv (Cornell University) · no summary yet**Vikas Verma et al.*2020 · 12 citations*
196. **[EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ↗](https://arxiv.org/abs/2410.06238) arXiv:2410.06238 · no summary yet**Allen Nie et al.*2024 · 9 citations*
197. **[Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour ↗](https://doi.org/10.1109/ipdpsw52791.2021.00146) IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · no summary yet**Arissa Wongpanich et al.*2021 · 9 citations*
198. **[Transductive Gaussian Process Regression with Automatic Model Selection ↗](https://doi.org/10.1007/11871842_31) Lecture notes in computer science · no summary yet**Quoc Viet Le et al.*2006 · 9 citations*
199. **[Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ↗](https://arxiv.org/abs/2007.00811) arXiv (Cornell University) · no summary yet**Denny Zhou et al.*2020 · 8 citations*
200. **[Mixtape: Breaking the Softmax Bottleneck Efficiently ↗](https://openalex.org/W2970184163) neural information processing systems · no summary yet**Zhilin Yang et al.*2019 · 8 citations*

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