Renkun Ni
9 papers · 2016–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
👑
Triple Crown
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms · Artificial Intelligence
(2)
Computer Vision
(1)
Analysis
(1)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
self-supervised learning
(2)
feature extractor
(2)
few-shot learning
(2)
image classification
(1)
neural network optimization
(1)
domain generalization
(1)
stochastic gradient descent
(1)
computer vision
(1)
graph transformer
(1)
data augmentation
(1)
low-rank matrix
(1)
gradient descent
(1)
statistical estimation
(1)
matrix completion
(1)
maximum likelihood estimation
(1)
transfer learning
(1)
adam optimizer
(1)
implicit regularization
(1)
contrastive learning
(1)
representation learning
(1)
Papers
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023
GOAT: A Global Transformer on Large-scale Graphs
ICML 2023
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
ICLR 2023
The Close Relationship Between Contrastive Learning and Meta-Learning
ICLR 2022
Data Augmentation for Meta-Learning
ICML 2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
NeurIPS 2021
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
ICLR 2021
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
ICML 2020
Optimal Statistical and Computational Rates for One Bit Matrix Completion
AISTATS 2016