ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.1353
  4. Cited By
Curriculum Learning of Multiple Tasks

Curriculum Learning of Multiple Tasks

3 December 2014
Anastasia Pentina
V. Sharmanska
Christoph H. Lampert
ArXivPDFHTML

Papers citing "Curriculum Learning of Multiple Tasks"

33 / 33 papers shown
Title
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
Fengchun Liu. Tong Zhang
Chunying Zhang
36
0
0
25 Apr 2025
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection
Han Yin
Yang Xiao
Jisheng Bai
Rohan Kumar Das
31
0
0
02 Nov 2024
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models
Kanghyun Ryu
Qiayuan Liao
Zhongyu Li
K. Sreenath
Negar Mehr
Negar Mehr
LM&Ro
156
3
0
27 Sep 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
51
6
0
15 Mar 2024
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
24
6
0
15 Jun 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum
  Learning And Reinforcement Learning With Sparse Rewards
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
Yuxin Wei
Hong-Peng Zhang
Chang Huang
13
3
0
12 Feb 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum
  Learning
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning
Shuang Ao
Stefan Rueger
Advaith Siddharthan
UQCV
29
0
0
29 Jan 2023
When Do Curricula Work in Federated Learning?
When Do Curricula Work in Federated Learning?
Saeed Vahidian
Sreevatsank Kadaveru
Woo-Ram Baek
Weijia Wang
Vyacheslav Kungurtsev
C. L. P. Chen
M. Shah
Bill Lin
FedML
37
11
0
24 Dec 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning
Curriculum-based Asymmetric Multi-task Reinforcement Learning
H. Huang
Deheng Ye
Li Shen
W. Liu
27
12
0
07 Nov 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Ashwin Hebbar
Viraj Nadkarni
Ashok Vardhan Makkuva
S. Bhat
Sewoong Oh
Pramod Viswanath
22
6
0
01 Oct 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLM
LRM
24
8
0
16 Jun 2022
The Effect of Task Ordering in Continual Learning
The Effect of Task Ordering in Continual Learning
Samuel J. Bell
Neil D. Lawrence
CLL
46
17
0
26 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
231
862
0
15 Oct 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
17
25
0
15 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions
  are Absent
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
Samira Abnar
Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
Nal Kalchbrenner
Hanie Sedghi
OOD
CLL
TTA
18
20
0
10 Jun 2021
A Survey on Curriculum Learning
A Survey on Curriculum Learning
Xin Eric Wang
Yudong Chen
Wenwu Zhu
SyDa
27
22
0
25 Oct 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine
  Translation
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Junliang Guo
Xu Tan
Linli Xu
Tao Qin
Enhong Chen
Tie-Yan Liu
6
85
0
20 Nov 2019
Meta-Transfer Learning through Hard Tasks
Meta-Transfer Learning through Hard Tasks
Qianru Sun
Yaoyao Liu
Zhaozheng Chen
Tat-Seng Chua
Bernt Schiele
14
98
0
07 Oct 2019
Adaptively Denoising Proposal Collection for Weakly Supervised Object
  Localization
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization
Dianbo Liu
Yuanwei Wu
Wenchi Ma
Guanghui Wang
28
13
0
04 Oct 2019
Growing Action Spaces
Growing Action Spaces
Gregory Farquhar
Laura Gustafson
Zeming Lin
Shimon Whiteson
Nicolas Usunier
Gabriel Synnaeve
14
37
0
28 Jun 2019
Dynamic Curriculum Learning for Imbalanced Data Classification
Dynamic Curriculum Learning for Imbalanced Data Classification
Yiru Wang
Weihao Gan
Jie Yang
Wei Yu Wu
Junjie Yan
25
216
0
21 Jan 2019
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
51
1,057
0
06 Dec 2018
Curriculum goal masking for continuous deep reinforcement learning
Curriculum goal masking for continuous deep reinforcement learning
Manfred Eppe
S. Magg
S. Wermter
19
19
0
17 Sep 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
42
3,950
0
15 Jul 2018
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
14
175
0
13 Oct 2017
Faster Reinforcement Learning Using Active Simulators
Faster Reinforcement Learning Using Active Simulators
V. Jain
Theja Tulabandhula
11
4
0
22 Mar 2017
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
30
116
0
24 May 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
19
1,336
0
12 Apr 2016
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
524
0
27 Jun 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
454
0
03 Dec 2007
1