Colin A Raffel
13 papers · 2018–2023 · 1 conference · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon (5) π Interdisciplinary Bridge π Renaissance Researcher (6) π§ Keyword Pioneer
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Interdisciplinary Bridge
π§
Keyword Pioneer
π
The Namer
π
Trend Setter
ποΈ
Keyword Collector
(67)
π₯
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(6)
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Century Club
(13)
Conferences
NIPS (13)
Top co-authors
Keywords
transfer learning
(3)
semi-supervised learning
(3)
fisher information
(2)
model merging
(2)
data augmentation
(2)
unlabeled datum
(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
TIES-Merging: Resolving Interference When Merging Models
NIPS 2023
Scaling Data-Constrained Language Models
NIPS 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
NIPS 2023
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
NIPS 2023
Merging Models with Fisher-Weighted Averaging
NIPS 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
NIPS 2022
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks
NIPS 2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
NIPS 2022
Training Neural Networks with Fixed Sparse Masks
NIPS 2021
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
NIPS 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NIPS 2020
MixMatch: A Holistic Approach to Semi-Supervised Learning
NIPS 2019
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
NIPS 2018