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Shaping Visual Representations with Language for Few-shot Classification
v1v2 (latest)

Shaping Visual Representations with Language for Few-shot Classification

6 November 2019
Jesse Mu
Percy Liang
Noah D. Goodman
    VLM
ArXiv (abs)PDFHTML

Papers citing "Shaping Visual Representations with Language for Few-shot Classification"

31 / 31 papers shown
Title
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
74
8
0
13 Sep 2024
Reading Is Believing: Revisiting Language Bottleneck Models for Image
  Classification
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification
Honori Udo
Takafumi Koshinaka
VLM
71
0
0
22 Jun 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
129
4
0
23 May 2024
One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal
  Multi-scale and Action Label Features
One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-scale and Action Label Features
Trung Thanh Nguyen
Yasutomo Kawanishi
Takahiro Komamizu
Ichiro Ide
VLM
72
3
0
30 Apr 2024
Predictive Chemistry Augmented with Text Retrieval
Predictive Chemistry Augmented with Text Retrieval
Yujie Qian
Zhening Li
Zhengkai Tu
Connor W. Coley
Regina Barzilay
55
9
0
08 Dec 2023
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of
  Language Models with Hypothesis Refinement
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
Linlu Qiu
Liwei Jiang
Ximing Lu
Melanie Sclar
Valentina Pyatkin
...
Bailin Wang
Yoon Kim
Yejin Choi
Nouha Dziri
Xiang Ren
LRMReLM
134
89
0
12 Oct 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
152
117
0
16 Jan 2023
G^3: Geolocation via Guidebook Grounding
G^3: Geolocation via Guidebook Grounding
Grace Luo
Giscard Biamby
Trevor Darrell
Daniel Fried
Anna Rohrbach
115
8
0
28 Nov 2022
Fixing Model Bugs with Natural Language Patches
Fixing Model Bugs with Natural Language Patches
Shikhar Murty
Christopher D. Manning
Scott M. Lundberg
Marco Tulio Ribeiro
KELM
80
39
0
07 Nov 2022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Mohamed Afham
Ranga Rodrigo
VLM
142
5
0
20 Oct 2022
Learning to Reason With Relational Abstractions
Learning to Reason With Relational Abstractions
A. Nam
Mengye Ren
Chelsea Finn
James L. McClelland
ReLMLRM
107
5
0
06 Oct 2022
Improving Few-Shot Image Classification Using Machine- and
  User-Generated Natural Language Descriptions
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions
Kosuke Nishida
Kyosuke Nishida
Shuichi Nishioka
VLM
77
7
0
07 Jul 2022
Using Natural Language and Program Abstractions to Instill Human
  Inductive Biases in Machines
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines
Sreejan Kumar
Carlos G. Correa
Ishita Dasgupta
Raja Marjieh
Michael Y. Hu
Robert D. Hawkins
Nathaniel D. Daw
Jonathan D. Cohen
Karthik Narasimhan
Thomas Griffiths
AI4CE
77
30
0
23 May 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRMReLM
188
302
0
05 Apr 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot
  Generalization
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie
Ameet Deshpande
Karthik Narasimhan
VLM
80
2
0
26 Feb 2022
On Guiding Visual Attention with Language Specification
On Guiding Visual Attention with Language Specification
Suzanne Petryk
Lisa Dunlap
Keyan Nasseri
Joseph E. Gonzalez
Trevor Darrell
Anna Rohrbach
VLM
256
32
1
17 Feb 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy
  Samples
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Orhun Bugra Baran
Ramazan Gokberk Cinbics
68
4
0
09 Jan 2022
Tell me why! Explanations support learning relational and causal
  structure
Tell me why! Explanations support learning relational and causal structure
Andrew Kyle Lampinen
Nicholas A. Roy
Ishita Dasgupta
Stephanie C. Y. Chan
Allison C. Tam
...
Chen Yan
Adam Santoro
Neil C. Rabinowitz
Jane X. Wang
Felix Hill
143
46
0
07 Dec 2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for
  Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Changyao Tian
Wenhai Wang
Xizhou Zhu
Jifeng Dai
Yu Qiao
VLM
105
73
0
26 Nov 2021
Multimodality in Meta-Learning: A Comprehensive Survey
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
104
54
0
28 Sep 2021
Neural Abstructions: Abstractions that Support Construction for Grounded
  Language Learning
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Kaylee Burns
Christopher D. Manning
Li Fei-Fei
47
0
0
20 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
107
56
0
18 Jun 2021
TexRel: a Green Family of Datasets for Emergent Communications on
  Relations
TexRel: a Green Family of Datasets for Emergent Communications on Relations
Hugh Perkins
44
2
0
26 May 2021
Rich Semantics Improve Few-shot Learning
Rich Semantics Improve Few-shot Learning
Mohamed Afham
Salman Khan
Muhammad Haris Khan
Muzammal Naseer
Fahad Shahbaz Khan
VLM
108
24
0
26 Apr 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
75
47
0
16 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning
Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold
Fei Sha
VLM
95
7
0
15 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.1K
30,092
0
26 Feb 2021
Language-Mediated, Object-Centric Representation Learning
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang
Jiayuan Mao
S. Gershman
Jiajun Wu
84
12
0
31 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by
  Interacting with their Explanations
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer
P. Schramowski
Kristian Kersting
FAtt
103
112
0
25 Nov 2020
ALICE: Active Learning with Contrastive Natural Language Explanations
ALICE: Active Learning with Contrastive Natural Language Explanations
Weixin Liang
James Zou
Zhou Yu
VLM
110
51
0
22 Sep 2020
Transforming task representations to perform novel tasks
Transforming task representations to perform novel tasks
Andrew Kyle Lampinen
James L. McClelland
44
5
0
08 May 2020
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