Jacob Menick
8 papers · 2017–2022 · 2 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 ↓+4 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🧬
Topic Evolution
👥
Mega-Team · Squad
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Models
(2)
Techniques
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Applications · Reinforcement Learning
(1)
Generation
(1)
Keywords
image generation
(2)
autoregressive model
(2)
transformer architecture
(1)
lottery ticket hypothesis
(1)
online learning
(1)
sparse representation
(1)
curriculum learning
(1)
attention mechanism
(1)
question answering
(1)
image compression
(1)
document retrieval
(1)
neural network optimization
(1)
sparse approximation
(1)
multi-armed bandit
(1)
hidden state
(1)
recurrent neural network
(1)
real-time recurrent learning
(1)
exploration strategy
(1)
backpropagation through time
(1)
sparse neural network
(1)
Papers
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Generating images with sparse representations
ICML 2021
Practical Real Time Recurrent Learning with a Sparse Approximation
ICLR 2021
Multiplicative Interactions and Where to Find Them
ICLR 2020
Rigging the Lottery: Making All Tickets Winners
ICML 2020
GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING
ICLR 2019
Noisy Networks For Exploration
ICLR 2018
Automated Curriculum Learning for Neural Networks
ICML 2017