Alex Fang
13 papers · 2020–2025 · 4 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π₯
Mega-Team Β· Legion
π€
Dynamic Duo
(10)
β
The Questioner
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(62)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Application Areas
(7)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI Β· Artificial Intelligence
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Computer Vision
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Architectures
(2)
Optimization & Theory
(2)
Techniques
(2)
Analysis
(1)
Core AI Β· Computer Vision
(1)
Keywords
data filtering
(3)
vision-language model
(2)
language model
(2)
zero-shot learning
(2)
multimodal learning
(2)
contrastive learning
(2)
distribution shift
(2)
transfer learning
(2)
image classification
(2)
feature learning
(1)
data augmentation
(1)
object recognition
(1)
in-context learning
(1)
benchmark evaluation
(1)
neural tangent kernel
(1)
scene understanding
(1)
domain adaptation
(1)
feature space
(1)
model adaptation
(1)
corpus construction
(1)
Papers
Language models scale reliably with over-training and on downstream tasks
ICLR 2025
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
NeurIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
Data Filtering Networks
ICLR 2024
URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
RSS 2024
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Does progress on ImageNet transfer to real-world datasets?
NeurIPS 2023
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text
NeurIPS 2023
Neural Priming for Sample-Efficient Adaptation
NeurIPS 2023
Neural Radiance Field Codebooks
ICLR 2023
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
ICML 2022
Evaluating Machine Accuracy on ImageNet
ICML 2020
Neural Kernels Without Tangents
ICML 2020