Oriol Vinyals
63 papers · 2012–2024 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+17 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (82) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Triple Crown
π¬
Deep Specialist
(12)
π
Keyword Trendsetter Combo
(16)
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π
Renaissance Researcher
(8)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Silver
π
Trend Setter
ποΈ
Keyword Collector
(263)
Venues
Top co-authors
Research topics
Deep Learning
(41)
Machine Learning
(37)
Artificial Intelligence
(25)
Architectures
(24)
Core AI
(18)
Core Methods
(17)
Models
(15)
Learning Paradigms
(11)
Optimization & Theory
(11)
Learning Types Β· Machine Learning
(10)
Learning Types Β· Deep Learning
(9)
Techniques
(9)
Natural Language Processing
(8)
Computer Vision
(7)
Reinforcement Learning
(7)
Keywords
few-shot learning
(7)
neural network
(5)
multimodal learning
(4)
variational autoencoder
(4)
embedding learning
(4)
reinforcement learning
(4)
autoregressive model
(4)
graph neural network
(4)
recurrent neural network
(4)
representation learning
(4)
image captioning
(4)
deep learning
(3)
language modeling
(3)
monte carlo tree search
(3)
machine translation
(3)
message passing
(3)
transfer learning
(3)
vector quantization
(3)
contrastive learning
(2)
neural network optimization
(2)
Papers
A Practitioner's Guide to Real-World Continual Multimodal Pretraining
NeurIPS 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
ICLR 2024
Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts
ICCV 2023
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Flamingo: a Visual Language Model for Few-Shot Learning
NeurIPS 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
ICML 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Integrating Language Guidance Into Vision-Based Deep Metric Learning
CVPR 2022
Non-Isotropy Regularization for Proxy-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
Efficient Visual Pretraining With Contrastive Detection
ICCV 2021
Machine Translation Decoding beyond Beam Search
EMNLP 2021
Multimodal Few-Shot Learning with Frozen Language Models
NeurIPS 2021
Perceiver: General Perception with Iterative Attention
ICML 2021
Vector Quantized Models for Planning
ICML 2021
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
NAACL 2021
Pointer Graph Networks
NeurIPS 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
ICLR 2020
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
ICLR 2020
Attentive Neural Processes
ICLR 2019
Classification Accuracy Score for Conditional Generative Models
NeurIPS 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
NeurIPS 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
ICML 2019
Meta-Learning with Latent Embedding Optimization
ICLR 2019
Preventing Posterior Collapse with delta-VAEs
ICLR 2019
Sample Efficient Adaptive Text-to-Speech
ICLR 2019
Universal Transformers
ICLR 2019
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
ICLR 2018
Hierarchical Representations for Efficient Architecture Search
ICLR 2018
Learning Implicit Generative Models with the Method of Learned Moments
ICML 2018
Learning to search with MCTSnets
ICML 2018
Memory-based Parameter Adaptation
ICLR 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
ICML 2018
Relational recurrent neural networks
NeurIPS 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
ICML 2018
Decoupled Neural Interfaces using Synthetic Gradients
ICML 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
NeurIPS 2017
Lip Reading Sentences in the Wild
CVPR 2017
Neural Discrete Representation Learning
NeurIPS 2017
Neural Episodic Control
ICML 2017
Neural Message Passing for Quantum Chemistry
ICML 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
ICML 2017
Video Pixel Networks
ICML 2017
An Online Sequence-to-Sequence Model Using Partial Conditioning
NeurIPS 2016
Conditional Image Generation with PixelCNN Decoders
NeurIPS 2016
Generating Sentences from a Continuous Space
CoNLL 2016
Matching Networks for One Shot Learning
NeurIPS 2016
Multilingual Language Processing From Bytes
NAACL 2016
Strategic Attentive Writer for Learning Macro-Actions
NeurIPS 2016
Addressing the Rare Word Problem in Neural Machine Translation
ACL 2015
Beyond Short Snippets: Deep Networks for Video Classification
CVPR 2015
Grammar as a Foreign Language
NeurIPS 2015
Pointer Networks
NeurIPS 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
NeurIPS 2015
Sentence Compression by Deletion with LSTMs
EMNLP 2015
Show and Tell: A Neural Image Caption Generator
CVPR 2015
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
ICML 2014
Sequence to Sequence Learning with Neural Networks
NeurIPS 2014
On Compact Codes for Spatially Pooled Features
ICML 2013
Krylov Subspace Descent for Deep Learning
AISTATS 2012
Learning with Recursive Perceptual Representations
NeurIPS 2012