Frederick Liu
12 papers · 2016–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (7)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(6)
π§¬
Topic Evolution
π
Century Club
(12)
π
Trend Setter
π₯
Unstoppable
(8)
Conferences
NIPS (5)
ACL (3)
AISTATS (1)
EMNLP (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
text classification
(2)
influence function
(2)
softmax kernel
(2)
language model
(2)
kernel approximation
(2)
model interpretability
(2)
random feature
(2)
training datum
(2)
gaussian kernel
(2)
information retrieval
(1)
feature attribution
(1)
neural machine translation
(1)
adversarial robustness
(1)
prior knowledge
(1)
feature importance
(1)
explainable ai
(1)
word sense disambiguation
(1)
kernel regression
(1)
compositional representation
(1)
factual knowledge
(1)
Papers
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
ICLR 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel
NIPS 2023
Chefs' Random Tables: Non-Trigonometric Random Features
NIPS 2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
AISTATS 2022
First is Better Than Last for Language Data Influence
NIPS 2022
Towards Tracing Knowledge in Language Models Back to the Training Data
EMNLP 2022
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
NIPS 2021
Estimating Training Data Influence by Tracing Gradient Descent
NIPS 2020
Incorporating Priors with Feature Attribution on Text Classification
ACL 2019
Handling Homographs in Neural Machine Translation
NAACL 2018
Learning Character-level Compositionality with Visual Features
ACL 2017
The Creation and Analysis of a Website Privacy Policy Corpus
ACL 2016