Renkun Ni
9 papers · 2016–2023 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (7)
π
Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(20)
π
Triple Crown
Conferences
ICLR (3)
ICML (3)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
few-shot learning
(2)
representation learning
(1)
image classification
(1)
stochastic gradient descent
(1)
domain generalization
(1)
transfer learning
(1)
computer vision
(1)
self-supervised learning
(1)
data augmentation
(1)
statistical estimation
(1)
matrix completion
(1)
maximum likelihood estimation
(1)
low-rank matrix
(1)
adam optimizer
(1)
graph transformer
(1)
node classification
(1)
training stability
(1)
pretrained model
(1)
feature extractor
(1)
few-shot classification
(1)
Papers
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
ICLR 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NIPS 2023
GOAT: A Global Transformer on Large-scale Graphs
ICML 2023
The Close Relationship Between Contrastive Learning and Meta-Learning
ICLR 2022
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
NIPS 2021
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
ICLR 2021
Data Augmentation for Meta-Learning
ICML 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