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1807.03748
Cited By
Representation Learning with Contrastive Predictive Coding
10 July 2018
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
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Papers citing
"Representation Learning with Contrastive Predictive Coding"
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Title
Predictive variational autoencoder for learning robust representations of time-series data
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Dexter Tsin
Tatiana Engel
CML
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Jiashuo Fan
Yaoyuan Liang
Leyao Liu
Shao-Lun Huang
Lei Zhang
30
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0
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RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
Tanveer Hannan
Md. Mohaiminul Islam
Thomas Seidl
Gedas Bertasius
33
3
0
11 Dec 2023
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
Cheng Liang
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Zheng Liang
Xiyang Zhang
Jianfeng Huang
AI4TS
250
1
0
09 Dec 2023
NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion
Savva Ignatyev
Daniil Selikhanovych
Oleg Voynov
Yiqun Wang
Peter Wonka
Stamatios Lefkimmiatis
Evgeny Burnaev
29
0
0
07 Dec 2023
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification
Navid Mohammadi Foumani
Chang Wei Tan
Geoffrey I. Webb
Hamid Rezatofighi
Mahsa Salehi
SSL
AI4TS
33
5
0
07 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging
Seungyeon Lee
Thai-Hoang Pham
Zhao Cheng
Ping Zhang
36
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0
06 Dec 2023
Leveraging Domain Adaptation and Data Augmentation to Improve Quránic IR in English and Arabic
Vera Pavlova
31
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05 Dec 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
37
1
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05 Dec 2023
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
34
4
0
01 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
35
0
0
01 Dec 2023
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Haozhe Luo
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
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0
01 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
55
2
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Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation
Linzi Xing
Quan Tran
Fabian Caba
Franck Dernoncourt
Seunghyun Yoon
Zhaowen Wang
Trung Bui
Giuseppe Carenini
51
1
0
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Robust Concept Erasure via Kernelized Rate-Distortion Maximization
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Nicholas Monath
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
36
4
0
30 Nov 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
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Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
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41
7
0
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FAT-HuBERT: Front-end Adaptive Training of Hidden-unit BERT for Distortion-Invariant Robust Speech Recognition
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Wei Wang
Yanmin Qian
26
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Improving Self-supervised Molecular Representation Learning using Persistent Homology
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Lei Shi
Veronika Thost
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39
8
0
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No Representation Rules Them All in Category Discovery
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Andrea Vedaldi
Andrew Zisserman
OOD
42
31
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28 Nov 2023
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei
Shunyu Liu
Mingli Song
Tongya Zheng
Kaixuan Chen
Yong Wang
Mingli Song
27
0
0
28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai
Yuhang Liu
Zhen Zhang
Javen Qinfeng Shi
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36
7
0
28 Nov 2023
A-JEPA: Joint-Embedding Predictive Architecture Can Listen
Zhengcong Fei
Mingyuan Fan
Junshi Huang
35
17
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27 Nov 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
51
3
0
27 Nov 2023
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
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Thibault Groueix
Mathieu Salzmann
Vincent Lepetit
3DPC
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43
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23 Nov 2023
Representation Learning in a Decomposed Encoder Design for Bio-inspired Hebbian Learning
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Sina Ditzel
Iuliia Pliushch
Visvanathan Ramesh
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49
1
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22 Nov 2023
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Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
53
56
0
21 Nov 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
50
4
0
20 Nov 2023
Unearthing Common Inconsistency for Generalisable Deepfake Detection
Beilin Chu
Xuan Xu
Weike You
Linna Zhou
37
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Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Hefeng Wu
Weifeng Chen
Zhibin Liu
Tianshui Chen
Zhiguang Chen
Liang Lin
38
11
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Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
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Haiping Wu
Weijian Xu
Xiyang Dai
Houdong Hu
Yumao Lu
Michael Zeng
Ce Liu
Lu Yuan
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144
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Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
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Jianmo Ni
Gustavo Hernández Ábrego
John Wieting
Jimmy J. Lin
Daniel Cer
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49
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Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy
Danielle Bassett
38
5
0
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Zhiwei Han
Hao Shen
42
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Iman Abbasnejad
Fabio Zambetta
Flora D. Salim
Timothy Wiley
Jeffrey Chan
Russell Gallagher
Ehsan Abbasnejad
GAN
24
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Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
21
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Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language
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Evelina Fedorenko
LLMSV
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Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu
Renhong Huang
Xin Jiang
Yuxuan Cao
Carl Yang
Chunping Wang
Yang Yang
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44
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COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
Chuizheng Meng
Yihe Dong
Sercan O. Arik
Yan Liu
Tomas Pfister
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34
0
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01 Nov 2023
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation
Juan Pablo Zuluaga
Zhaocheng Huang
Xing Niu
Rohit Paturi
S. Srinivasan
Prashant Mathur
Brian Thompson
Marcello Federico
BDL
35
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BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni
Hang Yu
Shizhan Liu
Jianguo Li
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AI4TS
28
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Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
Sarah Rastegar
Hazel Doughty
Cees G. M. Snoek
40
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Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen
Yatao Bian
Kaiwen Zhou
Binghui Xie
Bo Han
James Cheng
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45
34
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29 Oct 2023
Customize StyleGAN with One Hand Sketch
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Towards Generalized Multi-stage Clustering: Multi-view Self-distillation
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Zhiwei Xu
Xin Wang
Tao Li
29
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SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
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Yiping Ke
Jiaxing Xu
Xue Jiang
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Combating Representation Learning Disparity with Geometric Harmonization
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Jiangchao Yao
Feng Hong
Ya Zhang
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38
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Understanding the Effects of Projectors in Knowledge Distillation
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Sen Wang
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Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
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Ge Chen
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Yong Liu
36
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HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
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Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
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