Quoc Viet Le — all works
- Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version) ↗arXiv (Cornell University) · no summary yetLiang Chen et al.2016 · 8 citations
- Backprop Evolution ↗arXiv (Cornell University) · no summary yetMaximilian Alber et al.2018 · 7 citations
- Aletheia tackles FirstProof autonomously ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 6 citations
- Brainformers: Trading Simplicity for Efficiency ↗arXiv (Cornell University) · no summary yetYanqi Zhou et al.2023 · 6 citations
- Evolving Machine Learning Algorithms From Scratch ↗International Conference on Machine Learning · no summary yetEsteban Real et al.2020 · 6 citations
- Semi-supervised Learning by Coaching ↗no summary yetHieu Pham, Quoc Viet Le2019 · 6 citations
- Efficient Scale-Permuted Backbone with Learned Resource Distribution ↗Lecture notes in computer science · no summary yetXianzhi Du et al.2020 · 5 citations
- Revisiting Multi-Scale Feature Fusion for Semantic Segmentation ↗arXiv (Cornell University) · no summary yetTianjian Meng et al.2022 · 4 citations
- Cross-View Training for Semi-Supervised Learning ↗International Conference on Learning Representations · no summary yetKevin Clark, Minh-Thang Luong, Quoc Viet Le2018 · 4 citations
- LEAP: Supercharging LLMs for Formal Mathematics with Agentic Frameworks ↗arXiv:2606.03303 · no summary yetPo-Nien Kung et al.2026 · 3 citations
- Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play ↗arXiv:2411.00062 · no summary yetZiyu Ye et al.2024 · 3 citations
- TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets ↗neural information processing systems · no summary yetChengrun Yang et al.2022 · 3 citations
- EXPLORING NEURAL ARCHITECTURE SEARCH FOR LANGUAGE TASKS ↗no summary yetMinh-Thang Luong et al.2018 · 3 citations
- A Goal-oriented Neural Conversation Model by Self-Play ↗no summary yetWei Wei et al.2018 · 3 citations
- Large margin optimization of . . . ↗no summary yetOlivier Chapelle, Quoc Viet Le, Alex Smola2008 · 3 citations
- Unified Functional Hashing in Automatic Machine Learning ↗arXiv (Cornell University) · no summary yetRyan Gillard et al.2023 · 2 citations
- G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR ↗IEEE Spoken Language Technology Workshop (SLT) · no summary yetGary Wang et al.2023 · 2 citations
- Stochastic natural gradient descent draws posterior samples in function space ↗arXiv (Cornell University) · no summary yetSamuel L. Smith et al.2018 · 2 citations
- Scalable feature learning ↗no summary yetQuoc Viet Le2013 · 2 citations
- FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search ↗arXiv (Cornell University) · no summary yetJordan Dotzel et al.2023 · 1 citation
- AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions ↗arXiv (Cornell University) · no summary yetEsteban Real et al.2023 · 1 citation
- Evolving modular neural sequence architectures with genetic programming ↗Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · no summary yetDavid Dohan, David R. So, Quoc Viet Le2018 · 1 citation
- Domain Adaptive Transfer Learning ↗no summary yetJiquan Ngiam et al.2018 · 1 citation
- ResidencyRL: Reinforcement Learning in Simulated Clinical Environments ↗arXiv (Cornell University) · no summary yetValentin Liévin et al.2026
- Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction? ↗arXiv (Cornell University) · no summary yetXinchen Yan et al.2025
- PyGlove: Efficiently Exchanging ML Ideas as Code ↗arXiv (Cornell University) · no summary yetDaiyi Peng et al.2023
- Recommendation ↗Elsevier eBooks · no summary yetQuoc Viet Le et al.2021
- 83% ImageNet Accuracy in One Hour ↗arXiv (Cornell University) · no summary yetArissa Wongpanich et al.2020
- Code Synthesis with Priority Queue Training ↗no summary yetDaniel A. Abolafia, Quoc Viet Le, Mohammad Norouzi2018
- End-to-end Learning for Text and Speech. ↗SSW · no summary yetQuoc Viet Le2016
- Active Perception: Interactive Manipulation for Improving Object Detection ↗no summary yetQuoc Viet Le, Ashutosh Saxena, Andrew Ng2015
- A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm ↗no summary yetQuoc Viet Le, Google Brain, Google Inc2015
- Word Vector Paragraph Vector Experiments Background Neural Language Model ↗no summary yetQuoc Viet Le et al.2015
- A.J.: Nonparametric quantile regression ↗no summary yetIchiro Takeuchi et al.2015
- Y.: Using web co-occurrence statistics for improving image categorization. arXiv preprint arXiv:1312.5697 ↗no summary yetSamy Bengio et al.2013
- R D Hapc Belt with Pedestrian Detecon ↗no summary yetQuoc Viet Le et al.2013
- Appendix Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis ↗no summary yetQuoc Viet Le et al.2011
- Proximal regularization for online and batch learning Chuong B. ↗no summary yetQuoc Viet Le2010
- Elefant User’s Manual Release 0.4 ↗no summary yetChristfried Webers et al.2009
- A Short Tour of Kernel Methods for Graphs ↗no summary yetThomas Gärtner, Quoc Viet Le, Alex J Smola2008
- Kernel methods for graphs ↗ANU Open Research (Australian National University) · no summary yetGaertner, Thomas et al.2007
- Y.: Transductive Gaussian process regression with automatic model selection ↗no summary yetQuoc Viet Le, Alex J. Smola, Yasemin Altun2006
- S.: Heteroscedastic gaussian process regression ↗no summary yetQuoc Viet Le, Alex J. Smola2005
This page in Markdown → https://md.research.elamur.ai/free/en/authors/quoc-viet-le/works/page/3/