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Representation Learning with Contrastive Predictive Coding

Representation Learning with Contrastive Predictive Coding

10 July 2018
Aaron van den Oord
Yazhe Li
Oriol Vinyals
    DRL
    SSL
ArXivPDFHTML

Papers citing "Representation Learning with Contrastive Predictive Coding"

50 / 2,567 papers shown
Title
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot
  Learning
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang
Ruiping Wang
Xilin Chen
VLM
39
35
0
08 Nov 2021
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
Sung-Feng Huang
Chyi-Jiunn Lin
Da-Rong Liu
Yi-Chen Chen
Hung-yi Lee
22
56
0
07 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
39
41
0
04 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
30
6
0
04 Nov 2021
A Comparison of Discrete and Soft Speech Units for Improved Voice
  Conversion
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
Benjamin van Niekerk
M. Carbonneau
Julian Zaïdi
Matthew Baas
Hugo Seuté
Herman Kamper
DRL
34
111
0
03 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without
  Likelihoods
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R. Ivanova
Adam Foster
Steven Kleinegesse
Michael U. Gutmann
Tom Rainforth
OffRL
21
46
0
03 Nov 2021
STC speaker recognition systems for the NIST SRE 2021
STC speaker recognition systems for the NIST SRE 2021
Anastasia Avdeeva
Aleksei Gusev
Igor Korsunov
Alexander Kozlov
G. Lavrentyeva
...
Andrey Shulipa
Alisa Vinogradova
V. Volokhov
Evgeny Smirnov
Vasily Galyuk
16
15
0
03 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
25
3
0
02 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAML
VLM
22
120
0
01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
26
108
0
01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
30
3
0
29 Oct 2021
Equivariant $Q$ Learning in Spatial Action Spaces
Equivariant QQQ Learning in Spatial Action Spaces
Dian Wang
Robin Walters
Xu Zhu
Robert Platt
31
74
0
28 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
33
194
0
28 Oct 2021
Improving Noise Robustness of Contrastive Speech Representation Learning
  with Speech Reconstruction
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction
Heming Wang
Yao Qian
Xiaofei Wang
Yiming Wang
Chengyi Wang
Shujie Liu
Takuya Yoshioka
Jinyu Li
DeLiang Wang
26
29
0
28 Oct 2021
Equivariant Contrastive Learning
Equivariant Contrastive Learning
Rumen Dangovski
Li Jing
Charlotte Loh
Seung-Jun Han
Akash Srivastava
Brian Cheung
Pulkit Agrawal
Marin Soljacic
50
77
0
28 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
36
67
0
28 Oct 2021
Explicitly Modeling the Discriminability for Instance-Aware Visual
  Object Tracking
Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking
Mengmeng Wang
Xiao-qiang Yang
Yong Liu
17
1
0
28 Oct 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Yangqiu Song
36
58
0
28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
21
29
0
27 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
37
79
0
27 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
34
62
0
27 Oct 2021
Neural Analysis and Synthesis: Reconstructing Speech from
  Self-Supervised Representations
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
42
151
0
27 Oct 2021
Zero-shot Voice Conversion via Self-supervised Prosody Representation
  Learning
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning
Shijun Wang
Dimche Kostadinov
Damian Borth
31
11
0
27 Oct 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
149
1,736
0
26 Oct 2021
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without
  clean data
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data
Juan Castorena
Diane Oyen
26
0
0
26 Oct 2021
Image Quality Assessment using Contrastive Learning
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana
Neil Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
SSL
16
163
0
25 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in
  Reinforcement Learning
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
37
19
0
25 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
Anh Tuan Luu
31
56
0
25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
34
2
0
25 Oct 2021
MUSE: Feature Self-Distillation with Mutual Information and
  Self-Information
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yunpeng Gong
Ye Yu
Gaurav Mittal
Greg Mori
Mei Chen
SSL
32
2
0
25 Oct 2021
Learning Speaker Representation with Semi-supervised Learning approach
  for Speaker Profiling
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa
Pham Van Tung
Chng Eng Siong
45
5
0
24 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
39
40
0
22 Oct 2021
Wav2CLIP: Learning Robust Audio Representations From CLIP
Wav2CLIP: Learning Robust Audio Representations From CLIP
Ho-Hsiang Wu
Prem Seetharaman
Kundan Kumar
J. P. Bello
CLIP
VLM
48
268
0
21 Oct 2021
Statistical discrimination in learning agents
Statistical discrimination in learning agents
Edgar A. Duénez-Guzmán
Kevin R. McKee
Yiran Mao
Ben Coppin
Silvia Chiappa
...
Yoram Bachrach
Suzanne Sadedin
William S. Isaac
K. Tuyls
Joel Z Leibo
47
7
0
21 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
209
102
0
21 Oct 2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text
  Joint Pre-Training
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Ankur Bapna
Yu-An Chung
Na Wu
Anmol Gulati
Ye Jia
J. Clark
Melvin Johnson
Jason Riesa
Alexis Conneau
Yu Zhang
VLM
64
94
0
20 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
45
0
0
19 Oct 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
38
268
0
19 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
30
8
0
18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
25
339
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
37
275
0
18 Oct 2021
Speech Representation Learning Through Self-supervised Pretraining And
  Multi-task Finetuning
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning
Yi-Chen Chen
Shu-Wen Yang
Cheng-Kuang Lee
Simon See
Hung-yi Lee
SSL
19
12
0
18 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between
  Representations
Mitigating Memorization of Noisy Labels via Regularization between Representations
Hao Cheng
Zhaowei Zhu
Xing Sun
Yang Liu
NoLa
43
28
0
18 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio
  Representations
DECAR: Deep Clustering for learning general-purpose Audio Representations
Sreyan Ghosh
Sandesh V Katta
Ashish Seth
S. Umesh
SSL
36
12
0
17 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGe
OCL
27
134
0
17 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
39
17
0
15 Oct 2021
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
Chia-Chien Hung
Anne Lauscher
Simone Paolo Ponzetto
Goran Glavaš
44
31
0
15 Oct 2021
Guiding Visual Question Generation
Guiding Visual Question Generation
Nihir Vedd
Zixu Wang
Marek Rei
Yishu Miao
Lucia Specia
89
23
0
15 Oct 2021
Toward Degradation-Robust Voice Conversion
Toward Degradation-Robust Voice Conversion
Chien-yu Huang
Kai-Wei Chang
Hung-yi Lee
43
7
0
14 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
45
9
0
14 Oct 2021
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