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(Venues)
Published year
2025
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2023
2022
2021
2020
2019
2018
2017
Generalized Reinforcement Meta Learning for Few-Shot Optimization
content type
paper
|
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2020
Authors
Raviteja Anantha, Stephen Pulman, Srinivas Chappidi
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Improving GFlowNets for Text-to-Image Diffusion Alignment
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2024
Authors
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh Susskind, Navdeep Jaitly, Shuangfei Zhai
Projected Language Models: A Large Model Pre-Segmented Into Smaller Ones
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at ICML
Published year
2024
Authors
David Grangier, Angelos Katharopoulos, Pierre Ablin, Awni Hannun
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2024
Authors
Isha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at ICML
Published year
2024
Authors
Sachin Mehta, Mohammad Sekhavat, Qingqing Cao, Max Horton, Yanzi Jin, Frank Sun, Iman Mirzadeh, Mahyar Najibikohnehshahri, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari
The Calibration Generalization Gap
content type
paper
|
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2022
Authors
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran
FORML: Learning to Reweight Data for Fairness
content type
paper
|
research area
Computer Vision
,
research area
Fairness
|
Workshop at ICML
Published year
2022
Authors
Bobby Yan*, Skyler Seto*, Nicholas Apostoloff
Non-parametric Differentially Private Confidence Intervals for the Median
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
Workshop at ICML
Published year
2021
In collaboration with Boston University, Harvard University, Institute for Employment Research, University of Maryland, University of Pennsylvania
Authors
Joerg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam Smith
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
Workshop at ICML
Published year
2021
In collaboration with Boston University
Authors
Gavin R Brown, Mark Bun, Vitaly Feldman, Adam Smith, Kunal Talwar
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2021
Authors
Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2021
Authors
Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind
Generalized Reinforcement Meta Learning for Few-Shot Optimization
content type
paper
|
research area
Methods and Algorithms
|
Workshop at ICML
Published year
2020
Authors
Raviteja Anantha, Stephen Pulman, Srinivas Chappidi
Research - Apple Machine Learning Research