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CURI: A Benchmark for Productive Concept Learning Under Uncertainty

CURI: A Benchmark for Productive Concept Learning Under Uncertainty

6 October 2020
Ramakrishna Vedantam
Arthur Szlam
Maximilian Nickel
Ari S. Morcos
Brenden Lake
    UQLM
    LRM
ArXivPDFHTML

Papers citing "CURI: A Benchmark for Productive Concept Learning Under Uncertainty"

5 / 5 papers shown
Title
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
Antonia Wüst
Tim Nelson Tobiasch
Lukas Helff
Inga Ibs
Wolfgang Stammer
D. Dhami
Constantin Rothkopf
Kristian Kersting
CoGe
ReLM
VLM
LRM
59
1
0
25 Oct 2024
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Leonard Salewski
A. Sophia Koepke
Hendrik P. A. Lensch
Zeynep Akata
LRM
NAI
22
20
0
05 Apr 2022
Does MAML Only Work via Feature Re-use? A Data Centric Perspective
Does MAML Only Work via Feature Re-use? A Data Centric Perspective
Brando Miranda
Yu-xiong Wang
Oluwasanmi Koyejo
17
4
0
24 Dec 2021
ReaSCAN: Compositional Reasoning in Language Grounding
ReaSCAN: Compositional Reasoning in Language Grounding
Zhengxuan Wu
Elisa Kreiss
Desmond C. Ong
Christopher Potts
CoGe
LRM
21
22
0
18 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1