Lukas Kaiser
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Lukas Kaisercomputer-science Degrees
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Computational Linguistics
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Artificial Intelligence
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Computer Science
Lukas Kaiser's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Stanford University
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Why Is Lukas Kaiser Influential?
(Suggest an Edit or Addition)Lukas Kaiser's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Attention is All you Need (2017) (56317)
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) (9876)
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) (5457)
- Reformer: The Efficient Transformer (2020) (1171)
- Image Transformer (2018) (935)
- Grammar as a Foreign Language (2014) (884)
- Regularizing Neural Networks by Penalizing Confident Output Distributions (2017) (871)
- Evaluating Large Language Models Trained on Code (2021) (767)
- Multi-task Sequence to Sequence Learning (2015) (742)
- Rethinking Attention with Performers (2020) (690)
- Generating Wikipedia by Summarizing Long Sequences (2018) (579)
- Model-Based Reinforcement Learning for Atari (2019) (545)
- Universal Transformers (2018) (500)
- Adding Gradient Noise Improves Learning for Very Deep Networks (2015) (443)
- Tensor2Tensor for Neural Machine Translation (2018) (410)
- Neural GPUs Learn Algorithms (2015) (323)
- Learning to Remember Rare Events (2017) (316)
- One Model To Learn Them All (2017) (280)
- Sentence Compression by Deletion with LSTMs (2015) (253)
- Depthwise Separable Convolutions for Neural Machine Translation (2017) (238)
- Sample Efficient Text Summarization Using a Single Pre-Trained Transformer (2019) (55)
- Degrees of Lookahead in Regular Infinite Games (2010) (55)
- Can Active Memory Replace Attention? (2016) (52)
- Unsupervised Cipher Cracking Using Discrete GANs (2018) (51)
- Model Checking Games for the Quantitative μ-Calculus (2008) (41)
- Entanglement and the complexity of directed graphs (2012) (40)
- Discrete Autoencoders for Sequence Models (2018) (39)
- Information Tracking in Games on Graphs (2010) (34)
- Sparse is Enough in Scaling Transformers (2021) (32)
- Learning Games from Videos Guided by Descriptive Complexity (2012) (31)
- Experiments with Reduction Finding (2013) (29)
- Expressing Cardinality Quantifiers in Monadic Second-Order Logic over Trees (2010) (24)
- Cardinality and counting quantifiers on omega-automatic structures (2008) (24)
- A Perfect-Information Construction for Coordination in Games (2011) (22)
- New Algorithm for Weak Monadic Second-Order Logic on Inductive Structures (2010) (18)
- Area Attention (2018) (17)
- Parallel Scheduled Sampling (2019) (17)
- Hierarchical Transformers Are More Efficient Language Models (2021) (13)
- Graph Searching Games and Width Measures for Directed Graphs (2015) (12)
- Characterising Choiceless Polynomial Time with First-Order Interpretations (2015) (12)
- Cardinality Quantifiers in MLO over Trees (2009) (11)
- Synthesis for Structure Rewriting Systems (2009) (10)
- A Unified Approach to Boundedness Properties in MSO (2015) (9)
- First-Order Logic with Counting for General Game Playing (2011) (9)
- MPIDepQBF: Towards Parallel QBF Solving without Knowledge Sharing (2014) (8)
- Machine Learning with Guarantees using Descriptive Complexity and SMT Solvers (2016) (7)
- Solving Counter Parity Games (2012) (7)
- Expressing cardinality quantifiers in monadic second-order logic over chains (2011) (6)
- Directed Graphs of Entanglement Two (2009) (6)
- Game Quantification on Automatic Structures and Hierarchical Model Checking Games (2006) (6)
- Model-Theoretic Properties of ω-Automatic Structures (2014) (6)
- Model Checking the Quantitative μ-Calculus on Linear Hybrid Systems (2011) (6)
- The Field of Reals is not omega-Automatic (2012) (6)
- Confluence of Right Ground Term Rewriting Systems Is Decidable (2005) (5)
- Directed Width Measures and Monotonicity of Directed Graph Searching (2014) (5)
- Benchmarks from Reduction Finding (2013) (4)
- What kind of memory is needed to win infinitary Muller games (2007) (3)
- Logic and Games on Automatic Structures - Playing with Quantifiers and Decompositions (2011) (3)
- Learning Programs as Logical Queries (2013) (3)
- Model Checking the Quantitative mu-Calculus on Linear Hybrid Systems (2012) (3)
- Q-Value Weighted Regression: Reinforcement Learning with Limited Data (2021) (2)
- Imperfect Recall and Counter Games (2011) (2)
- Program Search as a Path to Artificial General Intelligence (2007) (2)
- Logic and Games on Automatic Structures (2011) (1)
- A Counting Logic for Structure Transition Systems (2012) (1)
- Playing General Structure Rewriting Games (2010) (1)
- Series and parallel switched inductors managing steady-state overvoltages in distribution grids with distributed generation (2012) (0)
- Large Scale Multi-Domain Multi-Task Learning with MultiModel (2018) (0)
- ZiMM: a deep learning model for long term adverse events with non-clinical claims data (2019) (0)
- TensorFlow Distributions Joshua (2017) (0)
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