Oriol Vinyals
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Machine learning researcher
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Oriol Vinyalscomputer-science Degrees
Computer Science
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Machine Learning
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Computer Science
Oriol Vinyals's Degrees
- PhD Computer Science Polytechnic University of Catalonia
- Masters Artificial Intelligence Polytechnic University of Catalonia
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Why Is Oriol Vinyals Influential?
(Suggest an Edit or Addition)According to Wikipedia, Oriol Vinyals is a Spanish machine learning researcher at DeepMind, where he is the principal research scientist. His research in DeepMind is regularly featured in the mainstream media especially after being acquired by Google.
Oriol Vinyals'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
- Sequence to Sequence Learning with Neural Networks (2014) (17010)
- Distilling the Knowledge in a Neural Network (2015) (11818)
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) (9876)
- Highly accurate protein structure prediction with AlphaFold (2021) (8720)
- WaveNet: A Generative Model for Raw Audio (2016) (5665)
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) (5457)
- Show and tell: A neural image caption generator (2014) (5101)
- Matching Networks for One Shot Learning (2016) (5050)
- Representation Learning with Contrastive Predictive Coding (2018) (5001)
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013) (4623)
- Neural Message Passing for Quantum Chemistry (2017) (4526)
- Understanding deep learning requires rethinking generalization (2016) (3984)
- Recurrent Neural Network Regularization (2014) (2278)
- Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) (2227)
- Beyond short snippets: Deep networks for video classification (2015) (2146)
- Pointer Networks (2015) (2098)
- Relational inductive biases, deep learning, and graph networks (2018) (2037)
- Generating Sentences from a Continuous Space (2015) (1990)
- Conditional Image Generation with PixelCNN Decoders (2016) (1908)
- Neural Discrete Representation Learning (2017) (1856)
- Listen, attend and spell: A neural network for large vocabulary conversational speech recognition (2016) (1830)
- Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks (2015) (1618)
- A Neural Conversational Model (2015) (1617)
- Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks (2015) (1151)
- Meta-Learning with Latent Embedding Optimization (2018) (1040)
- Exploring the Limits of Language Modeling (2016) (1019)
- Grammar as a Foreign Language (2014) (884)
- Generating Diverse High-Fidelity Images with VQ-VAE-2 (2019) (871)
- Hierarchical Representations for Efficient Architecture Search (2017) (797)
- Order Matters: Sequence to sequence for sets (2015) (791)
- Multi-task Sequence to Sequence Learning (2015) (742)
- Understanding deep learning (still) requires rethinking generalization (2021) (737)
- Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge (2016) (719)
- Addressing the Rare Word Problem in Neural Machine Translation (2014) (717)
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis (2017) (712)
- StarCraft II: A New Challenge for Reinforcement Learning (2017) (651)
- Speaker Diarization: A Review of Recent Research (2010) (640)
- Lip Reading Sentences in the Wild (2016) (579)
- Population Based Training of Neural Networks (2017) (530)
- Neural scene representation and rendering (2018) (508)
- Universal Transformers (2018) (500)
- Learning Deep Generative Models of Graphs (2018) (497)
- Learning the speech front-end with raw waveform CLDNNs (2015) (474)
- Imagination-Augmented Agents for Deep Reinforcement Learning (2017) (450)
- Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. (2017) (432)
- Listen, Attend and Spell (2015) (426)
- Qualitatively characterizing neural network optimization problems (2014) (420)
- Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML (2019) (418)
- Flamingo: a Visual Language Model for Few-Shot Learning (2022) (401)
- Deep Audio-Visual Speech Recognition (2018) (398)
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) (382)
- Perceiver: General Perception with Iterative Attention (2021) (359)
- Video Pixel Networks (2016) (349)
- Recurrent Neural Networks for Noise Reduction in Robust ASR (2012) (336)
- Training Compute-Optimal Large Language Models (2022) (327)
- Graph Matching Networks for Learning the Similarity of Graph Structured Objects (2019) (303)
- A Study on Overfitting in Deep Reinforcement Learning (2018) (294)
- Decoupled Neural Interfaces using Synthetic Gradients (2016) (284)
- Emergent Abilities of Large Language Models (2022) (260)
- Sentence Compression by Deletion with LSTMs (2015) (253)
- Attentive Neural Processes (2019) (245)
- Precise indoor localization using smart phones (2010) (242)
- Perceiver IO: A General Architecture for Structured Inputs & Outputs (2021) (221)
- Competition-level code generation with AlphaCode (2022) (213)
- Multimodal Few-Shot Learning with Frozen Language Models (2021) (213)
- Multilingual Language Processing From Bytes (2015) (202)
- Contextual LSTM (CLSTM) models for Large scale NLP tasks (2016) (196)
- A Generalist Agent (2022) (194)
- Synthesizing Programs for Images using Reinforced Adversarial Learning (2018) (190)
- Improving language models by retrieving from trillions of tokens (2021) (187)
- Relational recurrent neural networks (2018) (182)
- Relational Deep Reinforcement Learning (2018) (174)
- Connecting Generative Adversarial Networks and Actor-Critic Methods (2016) (168)
- Revisiting Recurrent Neural Networks for robust ASR (2012) (161)
- Strategic Attentive Writer for Learning Macro-Actions (2016) (155)
- Bayesian Recurrent Neural Networks (2017) (149)
- Sequence discriminative distributed training of long short-term memory recurrent neural networks (2014) (143)
- Deep reinforcement learning with relational inductive biases (2018) (142)
- Preventing Posterior Collapse with delta-VAEs (2019) (134)
- Krylov Subspace Descent for Deep Learning (2011) (130)
- Classification Accuracy Score for Conditional Generative Models (2019) (129)
- Overlapped speech detection for improved speaker diarization in multiparty meetings (2008) (122)
- Applying and improving AlphaFold at CASP14 (2021) (111)
- Sample Efficient Adaptive Text-to-Speech (2018) (108)
- Solving Mixed Integer Programs Using Neural Networks (2020) (104)
- An Online Sequence-to-Sequence Model Using Partial Conditioning (2015) (103)
- Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions (2017) (88)
- Learning model-based planning from scratch (2017) (87)
- Efficient Visual Pretraining with Contrastive Detection (2021) (85)
- Prosodic and other Long-Term Features for Speaker Diarization (2009) (83)
- Adversarial Evaluation of Dialogue Models (2017) (77)
- Memory-based Parameter Adaptation (2018) (72)
- Learning to Search with MCTSnets (2018) (70)
- Learning with Recursive Perceptual Representations (2012) (69)
- Metacontrol for Adaptive Imagination-Based Optimization (2017) (69)
- Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR (2011) (65)
- Understanding Synthetic Gradients and Decoupled Neural Interfaces (2017) (65)
- Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection (2018) (62)
- Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder (2019) (59)
- The ICSI RT-09 Speaker Diarization System (2012) (49)
- The Benchmark Lottery (2021) (47)
- A Neural Transducer (2015) (46)
- Towards Principled Unsupervised Learning (2015) (46)
- A fast-match approach for robust, faster than real-time speaker diarization (2007) (45)
- Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs (2019) (45)
- Multimodal location estimation (2010) (43)
- Unified Scaling Laws for Routed Language Models (2022) (41)
- Seeing is Not Necessarily Believing: Limitations of BigGANs for Data Augmentation (2019) (38)
- Two's a crowd: improving speaker diarization by automatically identifying and excluding overlapped speech (2008) (37)
- Unsupervised Doodling and Painting with Improved SPIRAL (2019) (37)
- Machine Translation Decoding beyond Beam Search (2021) (33)
- Improved Overlapped Speech Handling for Speaker Diarization (2011) (32)
- Are Sparse Representations Rich Enough for Acoustic Modeling? (2012) (31)
- Discriminative pronounciation learning using phonetic decoder and minimum-classification-error criterion (2009) (31)
- Live speaker identification in conversations (2008) (31)
- Learning Implicit Generative Models with the Method of Learned Moments (2018) (29)
- Learning Kernel Expansions for Image Classification (2007) (29)
- Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings (2008) (28)
- Message Passing Neural Networks (2020) (25)
- REGAL: Transfer Learning For Fast Optimization of Computation Graphs (2019) (24)
- Pointer Graph Networks (2020) (23)
- System output combination for improved speaker diarization (2010) (22)
- General-purpose, long-context autoregressive modeling with Perceiver AR (2022) (22)
- Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning (2020) (21)
- Machine learning prediction errors better than DFT accuracy (2017) (20)
- An empirical analysis of compute-optimal large language model training (2022) (20)
- Fast machine learning models of electronic and energetic properties consistently reach approximation errors better than DFT accuracy (2017) (19)
- Modulation spectrogram features for improved speaker diarization (2008) (18)
- GraphCast: Learning skillful medium-range global weather forecasting (2022) (18)
- A hybrid approach to online speaker diarization (2010) (18)
- A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy (2008) (17)
- Learning Fast Optimizers for Contextual Stochastic Integer Programs (2018) (17)
- Vector Quantized Models for Planning (2021) (17)
- Generating Diverse High-Resolution Images with VQ-VAE (2019) (15)
- MuZero with Self-competition for Rate Control in VP9 Video Compression (2022) (14)
- Learning speaker, addressee and overlap detection models from multimodal streams (2012) (14)
- Fusing short term and long term features for improved speaker diarization (2009) (14)
- Revisiting a basic function on current CPUs : A fast logarithm implementation with adjustable accuracy (2007) (13)
- WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset (2021) (13)
- Strong Generalization and Efficiency in Neural Programs (2020) (13)
- Chasing the metric: Smoothing learning algorithms for keyword detection (2014) (11)
- Deep vs. wide: depth on a budget for robust speech recognition (2013) (11)
- Multimodal Indoor Localization: An Audio-Wireless-Based Approach (2010) (11)
- AlignNet: Unsupervised Entity Alignment (2020) (11)
- Pooling-Invariant Image Feature Learning (2013) (11)
- Hierarchical Perceiver (2022) (9)
- Non-isotropy Regularization for Proxy-based Deep Metric Learning (2022) (8)
- On Compact Codes for Spatially Pooled Features (2013) (7)
- Imagination-Based Decision Making with Physical Models in Deep Neural Networks (2016) (7)
- Integrating Language Guidance into Vision-based Deep Metric Learning (2022) (6)
- 2 3 Ju n 20 15 A Neural Conversational Model (2015) (6)
- Visual Imitation with a Minimal Adversary (2018) (5)
- DLVM : A MODERN COMPILER INFRASTRUCTURE FOR DEEP LEARNING (2017) (4)
- Towards realistic MIDI instrument synthesizers (2020) (4)
- Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning (2018) (4)
- LIVE SPEAKER IDENTIFICATION IN MEETINGS – “ WHO IS SPEAKING NOW ? ” (2008) (3)
- Feature learning using Generalized Extreme Value distribution based K-means clustering (2012) (3)
- Tree-Structured Variational Autoencoder (2017) (3)
- Contextual LSTM: A Step towards Hierarchical Language Modeling (2016) (3)
- Beyond Deep Learning: Scalable Methods and Models for Learning (2013) (2)
- Guest Editorial: Non-Euclidean Machine Learning (2022) (2)
- Discriminative training for hierarchical clustering in speaker diarization (2010) (2)
- Why Size Matters: Feature Coding as Nystrom Sampling (2013) (1)
- Learning Models for Speaker , Addressee and Overlap Detection from Multimodal Streams (2012) (1)
- Revisiting Bayes by Backprop (2018) (1)
- Recurrent Neural Networks for Signal Denoising in Robust ASR (2012) (0)
- Large Vocabulary Continuous Speech Recognition with Long Short-Term Recurrent Networks (2014) (0)
- Talk 2: Recurrent neural nets and differentiable memory mechanism (2016) (0)
- Parameterized kernels for support vector machine classification (2007) (0)
- HiP: Hierarchical Perceiver (2022) (0)
- Meshing Roundtable ( IMR 24 ) Recurrent Neural Networks for Geometric Problems (2015) (0)
- A TTENTIVE N EURAL P ROCESSES (2019) (0)
- LATENT EMBEDDING OPTIMIZATION (2018) (0)
- Lift Pressure Colour MidLocation End Location Real or Fake Policy (2019) (0)
- Cs281b/stat241b (spring 2008) Statistical Learning Theory Universal Portfolios (2008) (0)
- Deep learning for the AI industry (2018) (0)
- TensorFlow Distributions Joshua (2017) (0)
- Workshop Track -iclr 2016 Generating Sentences from a Continuous Space (2016) (0)
- U NIVERSAL T RANSFORMERS (2019) (0)
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