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Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
v1v2v3v4 (latest)

Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

6 March 2024
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"

24 / 74 papers shown
Title
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
378
18,866
0
13 Feb 2020
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
74
255
0
19 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
174
2,409
0
13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
75
293
0
12 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRLBDL
147
1,827
0
02 Jun 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
111
814
0
16 May 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
103
784
0
25 Feb 2019
Analogies Explained: Towards Understanding Word Embeddings
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen
Timothy M. Hospedales
72
144
0
28 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Noise Contrastive Estimation and Negative Sampling for Conditional
  Models: Consistency and Statistical Efficiency
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
Zhuang Ma
Michael Collins
74
149
0
06 Sep 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
182
3,466
0
05 May 2018
Robust Locally-Linear Controllable Embedding
Robust Locally-Linear Controllable Embedding
Ershad Banijamali
Rui Shu
Mohammad Ghavamzadeh
Hung Bui
A. Ghodsi
BDL
54
95
0
15 Oct 2017
Time-Contrastive Networks: Self-Supervised Learning from Video
Time-Contrastive Networks: Self-Supervised Learning from Video
P. Sermanet
Corey Lynch
Yevgen Chebotar
Jasmine Hsu
Eric Jang
S. Schaal
Sergey Levine
SSL
105
830
0
23 Apr 2017
Towards Deeper Understanding of Variational Autoencoding Models
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
78
158
0
28 Feb 2017
Successor Features for Transfer in Reinforcement Learning
Successor Features for Transfer in Reinforcement Learning
André Barreto
Will Dabney
Rémi Munos
Jonathan J. Hunt
Tom Schaul
H. V. Hasselt
David Silver
47
577
0
16 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
85
1,314
0
02 Jun 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
99
2,228
0
18 Nov 2015
Model Predictive Path Integral Control using Covariance Variable
  Importance Sampling
Model Predictive Path Integral Control using Covariance Variable Importance Sampling
Grady Williams
Andrew Aldrich
Evangelos Theodorou
72
151
0
03 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
85
847
0
24 Jun 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
84
143
0
15 Jun 2015
Learning to Linearize Under Uncertainty
Learning to Linearize Under Uncertainty
Ross Goroshin
Michaël Mathieu
Yann LeCun
GANOOD
94
142
0
09 Jun 2015
A Recurrent Latent Variable Model for Sequential Data
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
DRLBDL
101
1,262
0
07 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
682
31,544
0
16 Jan 2013
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