Innervu Knowledge Navigator

Hyper Networks

By David Ha et al
Published on Dec. 1, 2016

A Survey on Incremental Update for Neural Recommender Systems

By Peiyan Zhang et al
Published on March 6, 2023

Tensor Programs I

By Greg Yang et al
Published on May 8, 2021

Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity

By Bernardo Aquino et al
Published on Feb. 14, 2022

Neural Architecture Optimization

By Renqian Luo et al
Published on None

Neural Message Passing for Quantum Chemistry

By Justin Gilmer et al
Published on June 12, 2017

Journal of Machine Learning Research

By Huafeng Liu et al
Published on June 10, 2021

Quantum Recurrent Neural Networks for Sequential Learning

By Y. Li et al
Published on Feb. 7, 2023

Quantum Convolutional Neural Networks

By Iris Cong et al
Published on None

Regularized Evolution for Image Classifier Architecture Search

By Esteban Real et al
Published on None

Diffusion Augmentation for Sequential Recommendation

By Q. Liu et al
Published on Oct. 21, 2025

Quantum Restricted Boltzmann Machine is Universal for Quantum Computation

By Y. Wu et al.
Published on Aug. 31, 2020

Quantum Methods for Neural Networks and Application to Medical Image Classification

By Jonas Landman et al
Published on Dec. 11, 2022

Hamur: Hyper Adapter for Multi-Domain Recommendation

By Xiaopeng Li et al
Published on Oct. 21, 2023

Limitations of Autoregressive Models and Their Alternatives

By Chu-Cheng Lin et al
Published on None

Robust Contrastive Learning Against Noisy Views

By Ching-Yao Chuang et al
Published on None

Bayesian Models of Perception and Action

By Wei Ji Ma et al
Published on Jan. 1, 2022

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation

By S. Liu et al.
Published on Oct. 21, 2023

High-Resolution Image Synthesis with Latent Diffusion Models

By Robin Rombach et al
Published on None

Multiple Physics Pretraining for Physical Surrogate Models

By M. M. McCabe et al.
Published on None

Non-Compliant Bandits

By Branislav Kveton et al
Published on Oct. 21, 2023

Evolutionary Neural AutoML for Deep Learning

By Jason Liang et al.
Published on June 10, 2019

SciPost Physics Submission

By Armand Rousselot et al
Published on Feb. 23, 2024

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

By P. Vincent et al
Published on Dec. 10, 2024

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

By Jiazheng Jing et al
Published on None

Exploring Quantum Neural Networks for the Discovery and Implementation of Quantum Error-Correcting Codes

By A. Chalkiadakis et al
Published on April 13, 2023

A Survey of Complex-Valued Neural Networks

By Joshua Bassey et al
Published on None

Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning

By E. Z. Liu et al
Published on June 10, 2023

Retrieving GNN Architecture for Collaborative Filtering

By F. Liang et al
Published on June 10, 2023

Deep Optimisation: Solving Combinatorial Optimisation Problems Using Deep Neural Networks

By J.R. Caldwell et al
Published on Nov. 2, 2018

Spinbis: Spintronics Based Bayesian Inference System with Stochastic Computing

By Xiaotao Jia et al
Published on Jan. 10, 2019

Hope: High-Order Polynomial Expansion of Black-Box Neural Networks

By Tingxiong Xiao et al
Published on None

Tf-Gnn: Graph Neural Networks in Tensorflow

By Oleksandr Ferludin et al
Published on None

Hyperbandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation

By Chenglei Shen et al.
Published on June 3, 2018

Vertical Federated Learning: A Structured Literature Review

By Afsana Khan et al
Published on None

Representation Learning in Continuous-Time Dynamic Signed Networks

By Kartik S et al
Published on None

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

By J. Jin et al.
Published on Oct. 21, 2023

Graph Neural Networks Designed for Different Graph Types: A Survey

By Josephine M. Thomas et al
Published on March 10, 2023

Contrastive Representation Learning: A Framework and Review

By Phuc H. Le-Khac et al.
Published on None

Ihas: Instance-Wise Hierarchical Architecture Search for Deep Learning Recommendation Models

By Yakun Yu et al
Published on June 10, 2023

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation

By X. Xia et al.
Published on June 10, 2023

Nudging Neural Click Prediction Models to Pay Attention to Position

By E. K. Taniskidou et al
Published on Oct. 21, 2023

Wavenet: A Generative Model for Rawaudio

By A. V. D. Oord et al
Published on Sept. 19, 2016

Neural Random-Access Machines

By Karol Kurach et al
Published on Feb. 9, 2016

Neural Architecture Optimization

By Renqian Luo et al
Published on Sept. 4, 2019

Infinite Mixture Prototypes for Few-Shot Learning

By K. R. Allen et al.
Published on None

ReLoRA: High-Rank Training Through Low-Rank Updates

By V. Lialin et al
Published on Dec. 10, 2023

Parallel Knowledge Enhancement Based Framework for Multi-Behavior Recommendation

By Chang Meng et al
Published on Oct. 21, 2023