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Oriol Vinyals

64 papers · 2012–2024 · 11 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (12) 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (15) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (28) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (222) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (64) ⚑ Prolific Year (6) ❓ The Questioner πŸ”₯ Unstoppable (13)

Conferences

NIPS (19) ICML (17) ICLR (13) CVPR (5) EMNLP (2) ICCV (2) NAACL (2) ACL (1) AISTATS (1) CONLL (1) IJCNLP (1)

Top co-authors

Koray Kavukcuoglu (10) Karen Simonyan (9) Aaron van den Oord (8) Simon Osindero (7) Sebastian Borgeaud (6) Razvan Pascanu (6) Karsten Roth (5) Ilya Sutskever (5) Zeynep Akata (5) Daan Wierstra (5)

Keywords

graph neural network (4) embedding learning (4) representation learning (4) neural network (4) image captioning (4) vector quantization (3) monte carlo tree search (3) autoregressive model (3) multimodal learning (3) recurrent neural network (3) few-shot learning (3) deep learning (3) variational autoencoder (3) reinforcement learning (3) value function (2) model-based reinforcement learning (2) metric learning (2) message passing (2) machine translation (2) language modeling (2)

Papers

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024
A Practitioner's Guide to Real-World Continual Multimodal Pretraining NIPS 2024
Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts ICCV 2023
Improving Language Models by Retrieving from Trillions of Tokens ICML 2022
General-purpose, long-context autoregressive modeling with Perceiver AR ICML 2022
Integrating Language Guidance Into Vision-Based Deep Metric Learning CVPR 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs ICLR 2022
Unified Scaling Laws for Routed Language Models ICML 2022
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning CVPR 2022
An empirical analysis of compute-optimal large language model training NIPS 2022
Flamingo: a Visual Language Model for Few-Shot Learning NIPS 2022
Efficient Visual Pretraining With Contrastive Detection ICCV 2021
Vector Quantized Models for Planning ICML 2021
Perceiver: General Perception with Iterative Attention ICML 2021
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset NAACL 2021
Multimodal Few-Shot Learning with Frozen Language Models NIPS 2021
Machine Translation Decoding beyond Beam Search EMNLP 2021
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML ICLR 2020
Pointer Graph Networks NIPS 2020
Attentive Neural Processes ICLR 2019
Deep reinforcement learning with relational inductive biases ICLR 2019
Classification Accuracy Score for Conditional Generative Models NIPS 2019
Meta-Learning with Latent Embedding Optimization ICLR 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects ICML 2019
Preventing Posterior Collapse with delta-VAEs ICLR 2019
Universal Transformers ICLR 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 NIPS 2019
Sample Efficient Adaptive Text-to-Speech ICLR 2019
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018
Relational recurrent neural networks NIPS 2018
Memory-based Parameter Adaptation ICLR 2018
Hierarchical Representations for Efficient Architecture Search ICLR 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018
Learning to search with MCTSnets ICML 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis ICML 2018
Learning Implicit Generative Models with the Method of Learned Moments ICML 2018
Lip Reading Sentences in the Wild CVPR 2017
Neural Discrete Representation Learning NIPS 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces ICML 2017
Neural Message Passing for Quantum Chemistry ICML 2017
Decoupled Neural Interfaces using Synthetic Gradients ICML 2017
Video Pixel Networks ICML 2017
Neural Episodic Control ICML 2017
Imagination-Augmented Agents for Deep Reinforcement Learning NIPS 2017
Generating Sentences from a Continuous Space CONLL 2016
Multilingual Language Processing From Bytes NAACL 2016
Conditional Image Generation with PixelCNN Decoders NIPS 2016
An Online Sequence-to-Sequence Model Using Partial Conditioning NIPS 2016
Matching Networks for One Shot Learning NIPS 2016
Strategic Attentive Writer for Learning Macro-Actions NIPS 2016
Beyond Short Snippets: Deep Networks for Video Classification CVPR 2015
Addressing the Rare Word Problem in Neural Machine Translation ACL 2015
Grammar as a Foreign Language NIPS 2015
Addressing the Rare Word Problem in Neural Machine Translation IJCNLP 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015
Pointer Networks NIPS 2015
Sentence Compression by Deletion with LSTMs EMNLP 2015
Show and Tell: A Neural Image Caption Generator CVPR 2015
Sequence to Sequence Learning with Neural Networks NIPS 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014
On Compact Codes for Spatially Pooled Features ICML 2013
Learning with Recursive Perceptual Representations NIPS 2012
Krylov Subspace Descent for Deep Learning AISTATS 2012