Colin A Raffel
13 papers · 2018–2023 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (34) π The Namer
π§
Keyword Pioneer
ποΈ
Keyword Collector
(67)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Application Areas
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Models
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Architectures
(1)
Generation
(1)
Keywords
transfer learning
(3)
semi-supervised learning
(3)
fisher information
(2)
model merging
(2)
data augmentation
(2)
unlabeled data
(2)
few-shot learning
(2)
image generation
(1)
in-context learning
(1)
image classification
(1)
gradient descent
(1)
conditional generation
(1)
ensemble learning
(1)
neural network optimization
(1)
laplace approximation
(1)
entropy minimization
(1)
parameter efficient
(1)
compositional generalization
(1)
benchmark evaluation
(1)
differential privacy
(1)
Papers
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
NeurIPS 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
NeurIPS 2023
Scaling Data-Constrained Language Models
NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
NeurIPS 2023
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
NeurIPS 2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
NeurIPS 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
NeurIPS 2022
Merging Models with Fisher-Weighted Averaging
NeurIPS 2022
Training Neural Networks with Fixed Sparse Masks
NeurIPS 2021
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NeurIPS 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
NeurIPS 2020
MixMatch: A Holistic Approach to Semi-Supervised Learning
NeurIPS 2019
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
NeurIPS 2018