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08/22/2023
Test Time Embedding Normalization for Popularity Bias Mitigation
Popularity bias is a widespread problem in the field of recommender syst...
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06/02/2023
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
Graph-based models have become increasingly important in various domains...
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05/30/2023
Hierarchical Graph Generation with K^2-trees
Generating graphs from a target distribution is a significant challenge ...
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03/16/2023
Robust Evaluation of Diffusion-Based Adversarial Purification
We question the current evaluation practice on diffusion-based purificat...
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03/10/2023
Feature Unlearning for Generative Models via Implicit Feedback
We tackle the problem of feature unlearning from a pretrained image gene...
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02/12/2023
SpReME: Sparse Regression for Multi-Environment Dynamic Systems
Learning dynamical systems is a promising avenue for scientific discover...
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10/24/2022
Item-based Variational Auto-encoder for Fair Music Recommendation
We present our solution for the EvalRS DataChallenge. The EvalRS DataCha...
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10/15/2022
Substructure-Atom Cross Attention for Molecular Representation Learning
Designing a neural network architecture for molecular representation is ...
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10/11/2022
Comparison of encrypted control approaches and tutorial on dynamic systems using LWE-based homomorphic encryption
Encrypted control has been introduced to protect controller data by encr...
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09/30/2022
GM-VAE: Representation Learning with VAE on Gaussian Manifold
We propose a Gaussian manifold variational auto-encoder (GM-VAE) whose l...
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06/06/2022
Restructuring Graph for Higher Homophily via Learnable Spectral Clustering
While a growing body of literature has been studying new Graph Neural Ne...
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05/31/2022
Few-Shot Unlearning by Model Inversion
We consider the problem of machine unlearning to erase a target dataset,...
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05/30/2022
MetaSSD: Meta-Learned Self-Supervised Detection
Deep learning-based symbol detector gains increasing attention due to th...
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05/25/2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
We present a rotated hyperbolic wrapped normal distribution (RoWN), a si...
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11/01/2021
Robust Deep Learning from Crowds with Belief Propagation
Crowdsourcing systems enable us to collect noisy labels from crowd worke...
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06/19/2021
Informative Class Activation Maps
We study how to evaluate the quantitative information content of a regio...
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06/19/2021
Neural Network Classifier as Mutual Information Evaluator
Cross-entropy loss with softmax output is a standard choice to train neu...
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03/26/2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
Graph neural networks (GNNs) have been extensively studied for predictio...
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02/03/2021
Roughly Collected Dataset for Contact Force Sensing Catheter
With rise of interventional cardiology, Catheter Ablation Therapy (CAT) ...
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11/27/2019
word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs
We present word2word, a publicly available dataset and an open-source Py...
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11/25/2019
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
Mutual information is widely applied to learn latent representations of ...
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10/07/2019
Softmax Is Not an Artificial Trick: An Information-Theoretic View of Softmax in Neural Networks
Despite great popularity of applying softmax to map the non-normalised o...
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01/16/2019
Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter
Online trolling has raised serious concerns about manipulating public op...
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02/09/2018
Self-Bounded Prediction Suffix Tree via Approximate String Matching
Prediction suffix trees (PST) provide an effective tool for sequence mod...
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02/09/2018
Neural Dynamic Programming for Musical Self Similarity
We present a neural sequence model designed specifically for symbolic mu...
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06/02/2017
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora
Much of scientific progress stems from previously published findings, bu...
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12/01/2016
Computer Assisted Composition with Recurrent Neural Networks
Sequence modeling with neural networks has lead to powerful models of sy...
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08/21/2016
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches
Knowledge graph construction consists of two tasks: extracting informati...
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03/12/2015
Hierarchical learning of grids of microtopics
The counting grid is a grid of microtopics, sparse word/feature distribu...
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05/04/2012
