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. 1502.01852
  4. Cited By
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

6 February 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    VLM
ArXiv (abs)PDFHTML

Papers citing "Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification"

50 / 5,463 papers shown
Title
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual
  and Transfer Learning
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
Lapo Frati
Neil Traft
Jeff Clune
Nick Cheney
CLL
79
1
0
12 Oct 2023
Point Cloud Denoising and Outlier Detection with Local Geometric
  Structure by Dynamic Graph CNN
Point Cloud Denoising and Outlier Detection with Local Geometric Structure by Dynamic Graph CNN
Kosuke Nakayama
Hiroto Fukuta
Hiroshi Watanabe
3DPC
18
0
0
11 Oct 2023
A predict-and-optimize approach to profit-driven churn prevention
A predict-and-optimize approach to profit-driven churn prevention
Nuria Gómez-Vargas
Sebastián Maldonado
Carla Vairetti
49
2
0
10 Oct 2023
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Mohamed Bakr
Mohamed Ayman
Mahmoud Ahmed
Habib Slim
Mohamed Elhoseiny
LRM
76
12
0
10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning
  Techniques
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
Mike Huisman
Aske Plaat
Jan N. van Rijn
MLT
85
9
0
09 Oct 2023
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
Lizhang Chen
Bo Liu
Kaizhao Liang
Qian Liu
ODL
112
20
0
09 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language Modeling
A Meta-Learning Perspective on Transformers for Causal Language Modeling
Xinbo Wu
Lav Varshney
80
7
0
09 Oct 2023
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive
  Kernels
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels
Fan He
Ming-qian He
Lei Shi
Xiaolin Huang
Johan A. K. Suykens
59
1
0
08 Oct 2023
TransCC: Transformer Network for Coronary Artery CCTA Segmentation
TransCC: Transformer Network for Coronary Artery CCTA Segmentation
Chenchu Xu
Meng Li
Xue Wu
ViTMedIm
42
1
0
07 Oct 2023
A New Dataset for End-to-End Sign Language Translation: The Greek
  Elementary School Dataset
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset
Andreas Voskou
Konstantinos P. Panousis
Harris Partaourides
Kyriakos Tolias
S. Chatzis
SLR
91
6
0
07 Oct 2023
Keep Moving: identifying task-relevant subspaces to maximise plasticity
  for newly learned tasks
Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks
Daniel Anthes
Sushrut Thorat
Peter König
Tim C Kietzmann
CLL
51
0
0
07 Oct 2023
Why Do We Need Weight Decay in Modern Deep Learning?
Why Do We Need Weight Decay in Modern Deep Learning?
Maksym Andriushchenko
Francesco DÁngelo
Aditya Varre
Nicolas Flammarion
98
38
0
06 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data
  Heterogeneity in Federated Learning
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu
Zeyu Wang
Jieru Mei
Liangqiong Qu
Alan Yuille
Cihang Xie
Yuyin Zhou
FedML
55
1
0
06 Oct 2023
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell
  Segmentation
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation
Weibin Liao
Xuhong Li
Qingzhong Wang
Yanwu Xu
Zhaozheng Yin
Haoyi Xiong
VLM
81
1
0
06 Oct 2023
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and
  Partial Structure Attention
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention
Chen Dun
Qiutai Pan
Shikai Jin
Ria Stevens
Mitchell D. Miller
George N. Phillips
Anastasios Kyrillidis
24
2
0
05 Oct 2023
Enhancing Accuracy in Deep Learning Using Random Matrix Theory
Enhancing Accuracy in Deep Learning Using Random Matrix Theory
Leonid Berlyand
Etienne Sandier
Yitzchak Shmalo
Lei Zhang
AAML
86
0
0
04 Oct 2023
Short text classification with machine learning in the social sciences:
  The case of climate change on Twitter
Short text classification with machine learning in the social sciences: The case of climate change on Twitter
Karina Shyrokykh
Maksym A. Girnyk
L. Dellmuth
AILaw
31
16
0
03 Oct 2023
Towards Training Without Depth Limits: Batch Normalization Without
  Gradient Explosion
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Alexandru Meterez
Amir Joudaki
Francesco Orabona
Alexander Immer
Gunnar Rätsch
Hadi Daneshmand
71
8
0
03 Oct 2023
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep
  Models for X-ray Images of Multiple Body Parts
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Weibin Liao
Haoyi Xiong
Qingzhong Wang
Yan Mo
Xuhong Li
Yi Liu
Zeyu Chen
Siyu Huang
Dejing Dou
CLL
71
23
0
03 Oct 2023
OOD Aware Supervised Contrastive Learning
OOD Aware Supervised Contrastive Learning
Soroush Seifi
Daniel Olmeda Reino
N. Chumerin
Rahaf Aljundi
OODD
118
2
0
03 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with
  Filter Augmentations
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
C. Ekbote
Ajinkya Deshpande
Arun Shankar Iyer
Ramakrishna Bairi
Sundararajan Sellamanickam
SSL
77
5
0
03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection
  Algorithms
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
William Yang
Byron Zhang
Olga Russakovsky
OODD
102
14
0
03 Oct 2023
The Optimal use of Segmentation for Sampling Calorimeters
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta
Bishnu Karki
P. Karande
Aaron Angerami
M. Arratia
K. Barish
R. Milton
Sebastián Morán
Benjamin Nachman
Anshuman Sinha
74
6
0
02 Oct 2023
HyMNet: a Multimodal Deep Learning System for Hypertension
  Classification using Fundus Photographs and Cardiometabolic Risk Factors
HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors
Mohammed Baharoon
Hessa Almatar
Reema Alduhayan
Tariq Aldebasi
Badr O. Alahmadi
Yahya Bokhari
M. Alawad
A. Almazroa
Abdulrhman Aljouie
75
1
0
02 Oct 2023
Non-negative isomorphic neural networks for photonic neuromorphic
  accelerators
Non-negative isomorphic neural networks for photonic neuromorphic accelerators
Manos Kirtas
Nikolaos Passalis
N. Pleros
Anastasios Tefas
28
0
0
02 Oct 2023
On the Role of Neural Collapse in Meta Learning Models for Few-shot
  Learning
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning
Saaketh Medepalli
Naren Doraiswamy
80
1
0
30 Sep 2023
LoRA ensembles for large language model fine-tuning
LoRA ensembles for large language model fine-tuning
Xi Wang
Laurence Aitchison
Maja Rudolph
UQCV
111
39
0
29 Sep 2023
Intrinsic Biologically Plausible Adversarial Robustness
Intrinsic Biologically Plausible Adversarial Robustness
Matilde Tristany Farinha
Thomas Ortner
Giorgia Dellaferrera
Benjamin Grewe
A. Pantazi
AAML
108
1
0
29 Sep 2023
Generalized Activation via Multivariate Projection
Generalized Activation via Multivariate Projection
Jiayun Li
Yuxiao Cheng
Yiwen Lu
Zhuofan Xia
Yilin Mo
Gao Huang
LLMSV
37
0
0
29 Sep 2023
Redistributing the Precision and Content in 3D-LUT-based Inverse
  Tone-mapping for HDR/WCG Display
Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
Weijie Wei
Leidong Fan
Martin R. Oswald
Hanyuan Liu
Kanglin Liu
Xiuhua Jiang
3DGS
55
1
0
29 Sep 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal
  Retrieval
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
Hao Li
Marie-Jeanne Lesot
Lianli Gao
Xiaosu Zhu
Christophe Marsala
EDL
78
15
0
29 Sep 2023
Benefits of mirror weight symmetry for 3D mesh segmentation in
  biomedical applications
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications
Asif Abdullah Rokoni
Maksim Dzhigil
Martin Kasparick
3DH
51
0
0
29 Sep 2023
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural
  Networks
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks
Zhaoyu Li
Jinpei Guo
Xujie Si
NAI
58
6
0
29 Sep 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
152
67
0
29 Sep 2023
Intriguing properties of generative classifiers
Intriguing properties of generative classifiers
P. Jaini
Kevin Clark
Robert Geirhos
BDL
106
39
0
28 Sep 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional
  Elections and Individual Perspective
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
Zhen Qin
Feiyi Chen
Chen Zhi
Xueqiang Yan
Shuiguang Deng
AAMLFedML
86
6
0
28 Sep 2023
Dark Side Augmentation: Generating Diverse Night Examples for Metric
  Learning
Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
Albert Mohwald
Shachar Meir
Srikkanth Ramachandran
GAN
66
4
0
28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDLAAML
103
20
0
28 Sep 2023
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Han Bao
SSLMLT
97
1
0
28 Sep 2023
Multichannel Voice Trigger Detection Based on
  Transform-average-concatenate
Multichannel Voice Trigger Detection Based on Transform-average-concatenate
Takuya Higuchi
Avamarie Brueggeman
Han Fang
Stephen Shum
76
0
0
27 Sep 2023
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in
  the HYKIST Project
Unsupervised Pre-Training for Vietnamese Automatic Speech Recognition in the HYKIST Project
Khai-Nguyen Nguyen
42
2
0
26 Sep 2023
Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer
  ReLU Neural Networks
Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks
Yahong Yang
Qipin Chen
Wenrui Hao
62
4
0
26 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
100
10
0
26 Sep 2023
Unveiling the Potential of Deep Learning Models for Solar Flare
  Prediction in Near-Limb Regions
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions
Chetraj Pandey
R. Angryk
Berkay Aydin
52
3
0
25 Sep 2023
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
G. Albanis
N. Zioulis
Spyridon Thermos
Anargyros Chatzitofis
Kostas Kolomvatsos
55
0
0
25 Sep 2023
Revisiting LARS for Large Batch Training Generalization of Neural
  Networks
Revisiting LARS for Large Batch Training Generalization of Neural Networks
K. Do
Duong Nguyen
Hoa Nguyen
Long Tran-Thanh
Nguyen-Hoang Tran
Quoc-Viet Pham
AI4CEODL
69
1
0
25 Sep 2023
On Calibration of Modern Quantized Efficient Neural Networks
On Calibration of Modern Quantized Efficient Neural Networks
Joe-Hwa Kuang
Alexander Wong
UQCVMQ
137
1
0
25 Sep 2023
Adversarial Attacks on Video Object Segmentation with Hard Region
  Discovery
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
P. Li
Yu Zhang
L. Yuan
Jian Zhao
Xianghua Xu
Xiaoqing Zhang
AAMLVOS
80
15
0
25 Sep 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric
  Super-Resolution with BLASTNet 2.0 Data
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Wai Tong Chung
Bassem Akoush
Pushan Sharma
Alex Tamkin
Kihoon Jung
...
D. Brouzet
M. Talei
B. Savard
A. Poludnenko
M. Ihme
AI4CE
112
15
0
23 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image
  Classification
Understanding Calibration of Deep Neural Networks for Medical Image Classification
A. Sambyal
Usma Niyaz
N. C. Krishnan
Deepti R. Bathula
47
9
0
22 Sep 2023
Previous
123...171819...108109110
Next