Łukasz Kaiser
- Evaluating Large Language Models Trained on Code
2021/07/07 by Mark Chen, Chen, Mark, Jerry Tworek +122 · 9 voices · 1212 citations
Computer Science · #Parallel Computing and Optimization Techniques #Software Engineering Research #Topic Modeling #cs.LG
- One Model To Learn Them All
2017/06/16 by Łukasz Kaiser, Lukasz Kaiser, Aidan N. Gomez +12 · 11 voices · 10 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.LG #stat.ML
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
2016/09/26 by Yonghui Wu, Wu, Yonghui, Mike Schuster +62 · 2 voices · 378 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- Competitive Programming with Large Reasoning Models
2025/02/03 by OpenAI, :, Ahmed El-Kishky +50 · 13 voices · 33 citations
Decision Sciences · Economics, Econometrics and Finance · #Economic theories and models #Multi-Criteria Decision Making #cs.AI #cs.CL #cs.LG
- Model-Based Reinforcement Learning for Atari
2019/03/01 by Lukasz Kaiser, Łukasz Kaiser, Mohammad Babaeizadeh +29 · 3 voices · 53 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Hierarchical Transformers Are More Efficient Language Models
2021/10/26 by Piotr Nawrot, Nawrot, Piotr, Szymon Tworkowski +11 · 4 voices · 19 citations
Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Rethinking Attention with Performers
2020/09/30 by Krzysztof Choromański, Choromanski, Krzysztof, Valerii Likhosherstov +23 · 171 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #Topic Modeling
- Reformer: The Efficient Transformer
2020/01/13 by Nikita Kitaev, Kitaev, Nikita, Łukasz Kaiser +3 · 176 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications #Advanced Neural Network Applications
- Generating Wikipedia by Summarizing Long Sequences
2018/01/30 by Peter J. Liu, Mohammad Saleh, Liu, Peter J. +12 · 1 voice · 25 citations
Computer Science · Social Sciences · #Natural Language Processing Techniques #Topic Modeling #Wikis in Education and Collaboration #cs.CL
- Universal Transformers
2018/07/10 by Mostafa Dehghani, Stephan Gouws, Dehghani, Mostafa +7 · 2 voices · 53 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG #stat.ML
- Regularizing Neural Networks by Penalizing Confident Output Distributions
2017/01/23 by Gabriel Pereyra, Pereyra, Gabriel, George Tucker +7 · 29 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Adding Gradient Noise Improves Learning for Very Deep Networks
2015/11/21 by Arvind Neelakantan, Neelakantan, Arvind, Luke Vilnis +11 · 26 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
- Neural GPUs Learn Algorithms
2015/11/25 by Łukasz Kaiser, Ilya Sutskever, Kaiser, Łukasz +1 · 24 citations
Computer Science · Engineering · #Machine Learning and Algorithms #Neural Networks and Applications #Ferroelectric and Negative Capacitance Devices
- Sparse is Enough in Scaling Transformers
2021/11/24 by Sebastian Jaszczur, Aakanksha Chowdhery, Jaszczur, Sebastian +11 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Fast Decoding in Sequence Models using Discrete Latent Variables
2018/03/09 by Łukasz Kaiser, Aurko Roy, Kaiser, Łukasz +11 · 9 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Learning to Remember Rare Events
2017/03/09 by Łukasz Kaiser, Kaiser, Łukasz, Ofir Nachum +5 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Discrete Autoencoders for Sequence Models
2018/01/29 by Łukasz Kaiser, Samy Bengio, Kaiser, Łukasz +1 · 5 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Algorithms and Data Compression #Image Processing and 3D Reconstruction
- Parallel Scheduled Sampling
2019/06/11 by Daniel Duckworth, Duckworth, Daniel, Arvind Neelakantan +7 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #Video Analysis and Summarization
- Unsupervised Cipher Cracking Using Discrete GANs
2018/01/15 by Aidan N. Gomez, Gomez, Aidan N., Sicong Huang +8 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Packet Processing and Optimization
- Grammar as a Foreign Language
2014/12/23 by Oriol Vinyals, Vinyals, Oriol, Łukasz Kaiser +9 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling