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Task Programming: Learning Data Efficient Behavior Representations

Task Programming: Learning Data Efficient Behavior Representations

27 November 2020
Jennifer J. Sun
Ann Kennedy
Eric Zhan
David J. Anderson
Yisong Yue
Pietro Perona
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Papers citing "Task Programming: Learning Data Efficient Behavior Representations"

26 / 26 papers shown
Title
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space
Heramb Nemlekar
Robert Ramirez Sanchez
Dylan P. Losey
55
3
0
22 Jul 2024
Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition?
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?
Abhinav Shukla
Stavros Petridis
Maja Pantic
SSL
43
28
0
04 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
97
4,476
0
23 Apr 2020
Evolving Losses for Unsupervised Video Representation Learning
Evolving Losses for Unsupervised Video Representation Learning
A. Piergiovanni
A. Angelova
Michael S. Ryoo
SSL
36
139
0
26 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
129
18,523
0
13 Feb 2020
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
197
289
0
25 Jan 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
58
2,841
0
10 Dec 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
101
1,283
0
06 Nov 2019
Learning Calibratable Policies using Programmatic Style-Consistency
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan
Albert Tseng
Yisong Yue
Adith Swaminathan
Matthew J. Hausknecht
24
18
0
02 Oct 2019
Video Representation Learning by Dense Predictive Coding
Video Representation Learning by Dense Predictive Coding
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
55
359
0
10 Sep 2019
Multi-task Self-Supervised Learning for Human Activity Detection
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed
T. Ozcelebi
J. Lukkien
SSL
108
273
0
27 Jul 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
38
397
0
03 May 2019
VideoBERT: A Joint Model for Video and Language Representation Learning
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun
Austin Myers
Carl Vondrick
Kevin Patrick Murphy
Cordelia Schmid
VLM
SSL
26
1,238
0
03 Apr 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
103
716
0
25 Jan 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
182
10,152
0
10 Jul 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement
  Learning with Trajectory Embeddings
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes
YuXuan Liu
Abhishek Gupta
Benjamin Eysenbach
Pieter Abbeel
Sergey Levine
SSL
BDL
AIFin
49
143
0
07 Jun 2018
Markerless tracking of user-defined features with deep learning
Markerless tracking of user-defined features with deep learning
Alexander Mathis
Pranav Mamidanna
Taiga Abe
Kevin M. Cury
V. Murthy
Mackenzie W. Mathis
Matthias Bethge
11
3,304
0
09 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
154
3,272
0
21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
54
88
0
20 Mar 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
35
1,021
0
28 Nov 2017
Multi-task Self-Supervised Visual Learning
Multi-task Self-Supervised Visual Learning
Carl Doersch
Andrew Zisserman
SSL
28
631
0
25 Aug 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
47
195
0
10 Jul 2017
Learning recurrent representations for hierarchical behavior modeling
Learning recurrent representations for hierarchical behavior modeling
Eyrun Eyjolfsdottir
K. Branson
Yisong Yue
Pietro Perona
33
48
0
01 Nov 2016
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
80
713
0
25 May 2016
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
126
2,777
0
19 May 2015
Mapping the stereotyped behaviour of freely-moving fruit flies
Mapping the stereotyped behaviour of freely-moving fruit flies
Gordon J. Berman
Daniel M. Choi
W. Bialek
J. Shaevitz
38
469
0
16 Oct 2013
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