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Paper Citation Record · LEDGER

Empirical Evaluation of Rectified Activations in Convolutional Network

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 65 inbound Pith citation observations for arXiv:1505.00853.

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pith.paper-citation-record.v1
1505.00853 v2

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measured 65 of 65 standing notices

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measured 65 of 65 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:57.130147Z

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Source: pith, observed 2026-07-04T07:59:39.952061Z

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Pith citing papers

Observation b0535707-d486-4789-9966-a54ad8d9a9c7 · inbound

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks cites this paper.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 20

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Searching for Activation Functions cites this paper.

Searching for Activation Functions Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 19

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Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments cites this paper.

Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 40

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On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks cites this paper.

On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 13

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High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction cites this paper.

High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 36

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Deep learning in ultrasound imaging cites this paper.

Deep learning in ultrasound imaging Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 100

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Two-stream Spatiotemporal Feature for Video QA Task cites this paper.

Two-stream Spatiotemporal Feature for Video QA Task Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 30

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Modern CNNs for IoT Based Farms cites this paper.

Modern CNNs for IoT Based Farms Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 1

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Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning cites this paper.

Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 30

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Deep Density-aware Count Regressor cites this paper.

Deep Density-aware Count Regressor Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 35

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Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks cites this paper.

Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 14

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Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition cites this paper.

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 60

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Interpolated Convolutional Networks for 3D Point Cloud Understanding cites this paper.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 48

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Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging cites this paper.

Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 53

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Mish: A Self Regularized Non-Monotonic Activation Function cites this paper.

Mish: A Self Regularized Non-Monotonic Activation Function Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 48

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STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control cites this paper.

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 60

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TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning cites this paper.

TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 44

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Partitioned integrators for thermodynamic parameterization of neural networks cites this paper.

Partitioned integrators for thermodynamic parameterization of neural networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 51

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Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images cites this paper.

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 43

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Few-Shot Generalization for Single-Image 3D Reconstruction via Priors cites this paper.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 31

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Automated Let's Play Commentary cites this paper.

Automated Let's Play Commentary Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 30

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Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks cites this paper.

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 67

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On Divergence Measures for Training GFlowNets cites this paper.

On Divergence Measures for Training GFlowNets Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 98

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Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images cites this paper.

Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 65

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Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction cites this paper.

Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 44

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Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection cites this paper.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 2022

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Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis cites this paper.

Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 101

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Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models cites this paper.

Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 49

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SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition cites this paper.

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 76

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Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss cites this paper.

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 45

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Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization cites this paper.

Semantic Communication based on Generative AI: A New Approach to Image Compression and Edge Optimization Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 120

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Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations cites this paper.

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 24

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Fast and Accurate Antibody Sequence Design via Structure Retrieval cites this paper.

Fast and Accurate Antibody Sequence Design via Structure Retrieval Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 2015

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Navigating Chemical Space: Multi-Level Bayesian Optimization with Hierarchical Coarse-Graining cites this paper.

Navigating Chemical Space: Multi-Level Bayesian Optimization with Hierarchical Coarse-Graining Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 80

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Observation 57095772-6cba-4163-994f-cdf78c132bff · inbound

Unsupervised Raindrop Removal from a Single Image using Conditional Diffusion Models cites this paper.

Unsupervised Raindrop Removal from a Single Image using Conditional Diffusion Models Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 21

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Observation d27995a1-0586-4c65-b10e-e3d44bad59a5 · inbound

Hierarchical Bracketing Encodings for Dependency Parsing as Tagging cites this paper.

Hierarchical Bracketing Encodings for Dependency Parsing as Tagging Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 16

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source=arxiv_source observed=2026-08-15T21:06:04.767144Z digest=sha256:3e7aa2693e842538f78032011eb014a0932b004667e1268eb2e2cde4cb07283c

Observation c1b39a77-2fe8-4bae-957c-e4efa8f52411 · inbound

RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network cites this paper.

RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 44

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source=pdf_text observed=2026-08-07T13:12:26.793810Z digest=sha256:9b87f344eaca06e3e789c25c241172a2afe02bada37891f7338b208f41f6138e

Observation c60edbae-e9a8-47ef-a12e-6483d2351b24 · inbound

Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem cites this paper.

Efficient Neural and Numerical Methods for High-Quality Online Speech Spectrogram Inversion via Gradient Theorem Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 34

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source=pdf_text observed=2026-08-07T12:26:41.944933Z digest=sha256:7b2b88ea54bacefca88a08477ebcaae31e9a0b631b0a03715c33043b3664df12

Observation dfaa7adb-f939-4a80-bd2d-395075990701 · inbound

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data cites this paper.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 31

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source=arxiv_source observed=2026-08-15T19:51:54.965979Z digest=sha256:4543723cef716371c9a6c8b63936c591f657f3c4929f401c1f1bc6919f515b58

Observation fb03a6c4-fc88-4d29-a963-3ab09b1102fc · inbound

A parametric activation function based on Wendland RBF cites this paper.

A parametric activation function based on Wendland RBF Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 25

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source=pdf_text observed=2026-08-06T22:00:13.310835Z digest=sha256:e853fd11a4ed1d54a8f2f8fb0c7eeb0e2f50d28462d2266c7af17c9a4de624d7

Observation ac0eae11-0f44-4e2f-8620-ca8055dc0cd0 · inbound

Combolutional Neural Networks cites this paper.

Combolutional Neural Networks Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 26

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source=pdf_text observed=2026-08-06T13:19:58.853544Z digest=sha256:8a3844543e1a99892909a3757aefa9279fcab6039f664ef9d12d8bd9e383fee2

Observation bd2514c5-8e79-4d62-ac71-d078f415b486 · inbound

Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization cites this paper.

Hybrid activation functions for deep neural networks: S3 and S4 -- a novel approach to gradient flow optimization Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 46

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no resolver link, observed 2026-08-06T12:39:11.550783Z

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source=pdf_text observed=2026-08-06T12:39:11.550783Z digest=sha256:b6d447a8cb66bf2d9e8ce891ef7d48750cd1c21ba8f32e1df20e7e2dd7b89910

Observation 469e1a5d-a8c5-48a0-aaac-a3e453c8a96a · inbound

How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes cites this paper.

How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 57

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source=pdf_text observed=2026-08-06T04:54:16.578583Z digest=sha256:032fb7a47cd36eb5f10a83168840181ab30a188d7ec2add2f394c58a876d2af5

Observation 15edc10d-f001-46ac-a7aa-e3f7ac3aa06c · inbound

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer cites this paper.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 42

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no resolver link, observed 2026-08-05T23:35:31.745376Z

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source=pdf_text observed=2026-08-05T23:35:31.745376Z digest=sha256:c10e4369b79192f9440b4919d5749cfd01a4f1203c709ec9b5efef787c807d86

Observation fc88aabf-a23c-423c-95db-719f177e0e7b · inbound

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear cites this paper.

Disorder-induced stress-flow misalignment in soft glassy materials revealed using multi-directional shear Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 35

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source=pdf_text observed=2026-08-05T23:25:36.900944Z digest=sha256:2c71f88afef89c1d32724670da75972beedbf4809bcab033fcc9575db5d0533d

Observation 3f5ba4be-ea3f-44c1-ba8b-346c3b771e10 · inbound

CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition cites this paper.

CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 31

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source=arxiv_source observed=2026-08-05T22:42:55.873867Z digest=sha256:95a5923006d4016bd785caa5aac03e76c3092e75438f53238804506beefb22be

Observation cdf64745-1d6d-448a-85d5-c8d10ed0ba2f · inbound

Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing cites this paper.

Transfer Learning for Minimum Operating Voltage Prediction in Advanced Technology Nodes: Leveraging Legacy Data and Silicon Odometer Sensing Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 18

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source=pdf_text observed=2026-08-05T17:41:04.850445Z digest=sha256:48e171501fd5e5494b831e9fadc9bf78a8363cdfc5469c5c731d0850d808d10f

Observation 6d4b82b1-1513-4557-80c5-c5dae835f562 · inbound

Why Pool When You Can Flow? Active Learning with GFlowNets cites this paper.

Why Pool When You Can Flow? Active Learning with GFlowNets Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 23

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source=pdf_text observed=2026-08-05T13:26:44.300652Z digest=sha256:49fe72b1e52793148538e9c5eff78e5b51be1a6d4d51330f9aa950fe53396cc7

Observation 7b1c64ec-c28a-4c8c-abaa-92161015358c · inbound

Seeing through Unclear Glass: Occlusion Removal with One Shot cites this paper.

Seeing through Unclear Glass: Occlusion Removal with One Shot Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 42

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source=pdf_text observed=2026-08-05T13:01:13.929502Z digest=sha256:ef97f72f9eeb5dbc0a017e341dd92c6a3327a220cf94cb809ec64c491b9b3834

Observation d02d90c9-52c1-4878-99e8-6ca6980964b6 · inbound

Hierarchical Bracketing Encodings Work for Dependency Graphs cites this paper.

Hierarchical Bracketing Encodings Work for Dependency Graphs Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 23

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source=arxiv_source observed=2026-08-04T19:15:08.365194Z digest=sha256:4232cad05b7ae15b5876b4eb5a1a6d7a6b41173cdb4a1125b126ea5c0334edbc

Observation c0267823-3b92-4b14-a1c5-2d15e05cf6e9 · inbound

Activation Function Design Sustains Plasticity in Continual Learning cites this paper.

Activation Function Design Sustains Plasticity in Continual Learning Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 26

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verified exact
local_arxiv, observed 2026-05-18T13:01:23.650287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T13:00:27.749673Z digest=sha256:39fd691293f6265b63888c4be2ea918b40cc0cd9f6776e99c2b295427f81e427

Observation 32f08141-ac1e-4ba3-b007-f61b83cb63f8 · inbound

Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models cites this paper.

Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 13

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local_arxiv, observed 2026-05-18T09:51:13.476100Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T09:49:26.885533Z digest=sha256:1e42609e313b46d5ac6c00484be78a086091e6a302463491f9e279fd93c1e83e

Observation 3fb66022-bf9a-4506-8969-1b1695c8124b · inbound

Kinky vortons in the 2HDM cites this paper.

Kinky vortons in the 2HDM Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 71

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source=pdf_text observed=2026-07-13T20:29:13.300410Z digest=sha256:8212e497c2c59a805ba8394a23887422f1c02471a4022f50b91e5f4ea8834f16

Observation ab9220e1-f53d-4764-b692-a5f5ab45616f · inbound

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis cites this paper.

Functional Similarity Metric for Neural Networks: Overcoming Parametric Ambiguity via Activation Region Analysis Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 38

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verified exact
arxiv_id, observed 2026-05-13T17:53:05.039210Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T17:51:29.832500Z digest=sha256:3cc375c5ccc039218ac30842b2c93ea836125ff2af1c67c193f9ad9c43123128

Observation b4155fcb-7d2a-4106-97e0-193af7df02cd · inbound

Materialistic RIR: Material Conditioned Realistic RIR Generation cites this paper.

Materialistic RIR: Material Conditioned Realistic RIR Generation Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 79

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verified exact
arxiv_id, observed 2026-05-11T13:51:02.869075Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T00:01:22.336057Z digest=sha256:defda3eba14b8e42adf25fd80e1fbb15877bd70277dd8e7bb769893eb7fd43d9

Observation 0ef286c7-5668-4e40-a3b9-78f4360ff32f · inbound

Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions cites this paper.

Locally Near Optimal Piecewise Linear Regression in High Dimensions via Difference of Max-Affine Functions Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 184

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arxiv_id, observed 2026-05-11T04:56:00.780375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-11T00:56:58.185552Z digest=sha256:7c3e746e746bb7c6f378dcec8e3f551f19ae21f1bf276d71beb1fed020c8e84f

Observation 0912672b-5106-4875-9ef5-887404af93e9 · inbound

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery cites this paper.

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 36

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verified exact
arxiv_id, observed 2026-05-12T08:21:24.957651Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:13:39.969280Z digest=sha256:24d852b4b4eb6d1731637ed7334983e4ff64f8c1af3f4f65c5170c84df03e5f3

Observation df33327b-2492-4042-bb43-bf00ab8abb0c · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 113

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local_arxiv, observed 2026-07-02T11:46:55.214254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T03:07:52.730713Z digest=sha256:7e7c0af2d934863a99c20e12e6341cd05f5ce36ac9d0da95936c3e7c356e5755

Observation c1670028-9ddb-490d-8b3f-fc3b98604534 · inbound

Cohort Organized Learning: Clustering Through Agreement cites this paper.

Cohort Organized Learning: Clustering Through Agreement Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 19

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verified exact
local_arxiv, observed 2026-07-04T07:59:39.953466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T12:25:32.825189Z digest=sha256:826b56ba1637635e2baa867601660f2172fafb00113e3f01d4f3ebec19387240

Observation f50c2be3-313e-4079-862c-871642a13f16 · inbound

Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring cites this paper.

Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-04T07:59:39.651812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T12:29:49.145530Z digest=sha256:fb8bd793bde4afd20682c079afde38e5b812e0246cfc2e7e4e25259b2b04a775

Observation b5cb1ac8-9fef-46b9-8906-705d4539681f · inbound

Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring cites this paper.

Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 40

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source=pdf_text observed=2026-07-12T12:58:39.236687Z digest=sha256:1db497fa247372046058d769ded82d57628fec92e49798aaa10d90aa773fcc9e

Observation 71000626-be1d-40e7-b861-a4851ca1c20b · inbound

Revisiting the Volume Hypothesis cites this paper.

Revisiting the Volume Hypothesis Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 44

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local_arxiv, observed 2026-07-01T09:35:40.791184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-01T06:25:10.589828Z digest=sha256:16af3c5bbdec9918689c58de10d6227074460f35aeb7f74e23bf9cd465a0754b

Observation 5c99f924-fddd-4b27-9775-eaff70a20ccc · inbound

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes cites this paper.

Knowledge-Assisted Multi-Graph Dependency Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 52

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source=pdf_text observed=2026-08-01T22:20:57.407946Z digest=sha256:873fde6e044eaf0f27015b4fa4e8f1bdcf6fbcebade927848e43cae27ec2325c

Observation e10aad24-32c7-4ce0-bc6a-55341a6cae88 · inbound

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction cites this paper.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 78

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source=pdf_text observed=2026-08-01T11:08:02.729659Z digest=sha256:2c57df38bbe29e286ddf8c578bdf307f98169f09ab5d1ac7226b83a5737b1772

Observation 9cbdcd3a-4a9a-4de0-9b8a-aac140e25223 · inbound

Flow-based conditional cardiac anatomy generation for virtual cohorts cites this paper.

Flow-based conditional cardiac anatomy generation for virtual cohorts Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 71

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source=pdf_text observed=2026-08-11T17:10:50.284408Z digest=sha256:2c4e0a169bd502529d84b3fdc1f6a5d06a7278acf8fae35d739572e3b0a91bf6