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OCD: Learning to Overfit with Conditional Diffusion Models

OCD: Learning to Overfit with Conditional Diffusion Models

2 October 2022
Shahar Lutati
Lior Wolf
    DiffM
ArXivPDFHTML

Papers citing "OCD: Learning to Overfit with Conditional Diffusion Models"

9 / 9 papers shown
Title
Efficient Verification-Based Face Identification
Efficient Verification-Based Face Identification
Amit Rozner
Barak Battash
Ofir Lindenbaum
Lior Wolf
CVBM
34
2
0
20 Dec 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided
  Diffusion
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du
Zehao Xiao
Tianran Ouyang
Cees G. M. Snoek
DiffM
37
11
0
26 Jun 2023
Focus Your Attention (with Adaptive IIR Filters)
Focus Your Attention (with Adaptive IIR Filters)
Shahar Lutati
Itamar Zimerman
Lior Wolf
32
10
0
24 May 2023
Astroformer: More Data Might not be all you need for Classification
Astroformer: More Data Might not be all you need for Classification
Rishit Dagli
36
7
0
03 Apr 2023
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
36
183
0
22 Sep 2022
SepIt: Approaching a Single Channel Speech Separation Bound
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati
Eliya Nachmani
Lior Wolf
VLM
43
27
0
24 May 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
230
343
0
21 Oct 2021
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
195
260
0
07 Jan 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
91
296
0
13 Sep 2019
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