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title: "Quoc Viet Le — all works, page 3 — 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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# Quoc Viet Le — all works

243 works · page 3 of 3 · 201–243 · [← Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/)

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201. **[Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version) ↗](https://arxiv.org/abs/1612.01197) arXiv (Cornell University) · no summary yet**Liang Chen et al.*2016 · 8 citations*
202. **[Backprop Evolution ↗](https://arxiv.org/abs/1808.02822) arXiv (Cornell University) · no summary yet**Maximilian Alber et al.*2018 · 7 citations*
203. **[Aletheia tackles FirstProof autonomously ↗](https://arxiv.org/abs/2602.21201) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 6 citations*
204. **[Brainformers: Trading Simplicity for Efficiency ↗](https://arxiv.org/abs/2306.00008) arXiv (Cornell University) · no summary yet**Yanqi Zhou et al.*2023 · 6 citations*
205. **[Evolving Machine Learning Algorithms From Scratch ↗](https://openalex.org/W3034869289) International Conference on Machine Learning · no summary yet**Esteban Real et al.*2020 · 6 citations*
206. **[Semi-supervised Learning by Coaching ↗](https://openalex.org/W2998987396) no summary yet**Hieu Pham, Quoc Viet Le*2019 · 6 citations*
207. **[Efficient Scale-Permuted Backbone with Learned Resource Distribution ↗](https://doi.org/10.1007/978-3-030-58592-1_34) Lecture notes in computer science · no summary yet**Xianzhi Du et al.*2020 · 5 citations*
208. **[Revisiting Multi-Scale Feature Fusion for Semantic Segmentation ↗](https://arxiv.org/abs/2203.12683) arXiv (Cornell University) · no summary yet**Tianjian Meng et al.*2022 · 4 citations*
209. **[Cross-View Training for Semi-Supervised Learning ↗](https://openalex.org/W2785554650) International Conference on Learning Representations · no summary yet**Kevin Clark, Minh-Thang Luong, Quoc Viet Le*2018 · 4 citations*
210. **[LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks ↗](https://arxiv.org/abs/2606.03303) arXiv:2606.03303 · no summary yet**Po-Nien Kung et al.*2026 · 3 citations*
211. **[Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play ↗](https://arxiv.org/abs/2411.00062) arXiv:2411.00062 · no summary yet**Ziyu Ye et al.*2024 · 3 citations*
212. **[TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets ↗](https://doi.org/10.52202/068431-0865) neural information processing systems · no summary yet**Chengrun Yang et al.*2022 · 3 citations*
213. **[EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS ↗](https://openalex.org/W2786248779) no summary yet**Minh-Thang Luong et al.*2018 · 3 citations*
214. **[A Goal-oriented Neural Conversation Model by Self-Play ↗](https://openalex.org/W2786744735) no summary yet**Wei Wei et al.*2018 · 3 citations*
215. **[Large margin optimization of . . . ↗](https://openalex.org/W7096442411) no summary yet**Olivier Chapelle, Quoc Viet Le, Alex Smola*2008 · 3 citations*
216. **[Unified Functional Hashing in Automatic Machine Learning ↗](https://arxiv.org/abs/2302.05433) arXiv (Cornell University) · no summary yet**Ryan Gillard et al.*2023 · 2 citations*
217. **[G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR ↗](https://doi.org/10.1109/slt54892.2023.10022748) IEEE Spoken Language Technology Workshop (SLT) · no summary yet**Gary Wang et al.*2023 · 2 citations*
218. **[Stochastic natural gradient descent draws posterior samples in function space ↗](https://arxiv.org/abs/1806.09597) arXiv (Cornell University) · no summary yet**Samuel L. Smith et al.*2018 · 2 citations*
219. **[Scalable feature learning ↗](https://openalex.org/W2586506233) no summary yet**Quoc Viet Le*2013 · 2 citations*
220. **[FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search ↗](https://arxiv.org/abs/2308.03290) arXiv (Cornell University) · no summary yet**Jordan Dotzel et al.*2023 · 1 citation*
221. **[AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions ↗](https://arxiv.org/abs/2312.08472) arXiv (Cornell University) · no summary yet**Esteban Real et al.*2023 · 1 citation*
222. **[Evolving modular neural sequence architectures with genetic programming ↗](https://doi.org/10.1145/3205651.3208782) Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · no summary yet**David Dohan, David R. So, Quoc Viet Le*2018 · 1 citation*
223. **[Domain Adaptive Transfer Learning ↗](https://openalex.org/W2903458748) no summary yet**Jiquan Ngiam et al.*2018 · 1 citation*
224. **[ResidencyRL: Reinforcement Learning in Simulated Clinical Environments ↗](https://arxiv.org/abs/2608.07418) arXiv (Cornell University) · no summary yet**Valentin Liévin et al.*2026*
225. **[Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction? ↗](https://arxiv.org/abs/2511.08704) arXiv (Cornell University) · no summary yet**Xinchen Yan et al.*2025*
226. **[PyGlove: Efficiently Exchanging ML Ideas as Code ↗](https://arxiv.org/abs/2302.01918) arXiv (Cornell University) · no summary yet**Daiyi Peng et al.*2023*
227. **[Recommendation ↗](https://doi.org/10.1016/b978-0-323-90118-5.00019-9) Elsevier eBooks · no summary yet**Quoc Viet Le et al.*2021*
228. **[83% ImageNet Accuracy in One Hour ↗](https://ui.adsabs.harvard.edu/abs/2020arXiv201100071W/abstract) arXiv (Cornell University) · no summary yet**Arissa Wongpanich et al.*2020*
229. **[Code Synthesis with Priority Queue Training ↗](https://openalex.org/W2787713672) no summary yet**Daniel A. Abolafia, Quoc Viet Le, Mohammad Norouzi*2018*
230. **[End-to-end Learning for Text and Speech. ↗](https://openalex.org/W2786090890) SSW · no summary yet**Quoc Viet Le*2016*
231. **[Active Perception: Interactive Manipulation for Improving Object Detection ↗](https://openalex.org/W7097849993) no summary yet**Quoc Viet Le, Ashutosh Saxena, Andrew Ng*2015*
232. **[A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm ↗](https://openalex.org/W7099536965) no summary yet**Quoc Viet Le, Google Brain, Google Inc*2015*
233. **[Word Vector Paragraph Vector Experiments Background Neural Language Model ↗](https://openalex.org/W7097912628) no summary yet**Quoc Viet Le et al.*2015*
234. **[A.J.: Nonparametric quantile regression ↗](https://openalex.org/W7096865636) no summary yet**Ichiro Takeuchi et al.*2015*
235. **[Y.: Using web co-occurrence statistics for improving image categorization. arXiv preprint arXiv:1312.5697 ↗](https://openalex.org/W7098658056) no summary yet**Samy Bengio et al.*2013*
236. **[R D Hapc Belt with Pedestrian Detecon ↗](https://openalex.org/W7096434681) no summary yet**Quoc Viet Le et al.*2013*
237. **[Appendix Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis ↗](https://openalex.org/W7095220796) no summary yet**Quoc Viet Le et al.*2011*
238. **[Proximal regularization for online and batch learning Chuong B. ↗](https://openalex.org/W7095445767) no summary yet**Quoc Viet Le*2010*
239. **[Elefant User’s Manual Release 0.4 ↗](https://openalex.org/W7097371226) no summary yet**Christfried Webers et al.*2009*
240. **[A Short Tour of Kernel Methods for Graphs ↗](https://openalex.org/W7095662325) no summary yet**Thomas Gärtner, Quoc Viet Le, Alex J Smola*2008*
241. **[Kernel methods for graphs ↗](https://openalex.org/W6992107894) ANU Open Research (Australian National University) · no summary yet**Gaertner, Thomas et al.*2007*
242. **[Y.: Transductive Gaussian process regression with automatic model selection ↗](https://openalex.org/W7100200711) no summary yet**Quoc Viet Le, Alex J. Smola, Yasemin Altun*2006*
243. **[S.: Heteroscedastic gaussian process regression ↗](https://openalex.org/W7098464473) no summary yet**Quoc Viet Le, Alex J. Smola*2005*

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