research
∙
09/08/2023
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
Diffusion models have revolted the field of text-to-image generation rec...
share
research
∙
07/27/2023
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment
Algorithmic fairness has been a serious concern and received lots of int...
research
∙
05/04/2023
Faithful Question Answering with Monte-Carlo Planning
Although large language models demonstrate remarkable question-answering...
research
∙
03/22/2023
Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility
Many material properties are manifested in the morphological appearance ...
research
∙
10/22/2022
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure
In this paper, we propose a comprehensive benchmark to investigate model...
research
∙
06/21/2022
Rethinking Audio-visual Synchronization for Active Speaker Detection
Active speaker detection (ASD) systems are important modules for analyzi...
research
∙
05/31/2022
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking
The recent trend in multiple object tracking (MOT) is heading towards le...
research
∙
05/29/2022
VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
The visual dialog task requires an AI agent to interact with humans in m...
research
∙
05/05/2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Knowing the reasoning chains from knowledge to the predicted answers can...
research
∙
03/25/2022
Searching for Network Width with Bilaterally Coupled Network
Searching for a more compact network width recently serves as an effecti...
research
∙
03/16/2022
Relational Self-Supervised Learning
Self-supervised Learning (SSL) including the mainstream contrastive lear...
research
∙
02/28/2022
A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility
Prediction of material property is a key problem because of its signific...
research
∙
12/21/2021
A Theoretical View of Linear Backpropagation and Its Convergence
Backpropagation is widely used for calculating gradients in deep neural ...
research
∙
12/21/2021
Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding
The learned iterative shrinkage thresholding algorithm (LISTA) introduce...
research
∙
11/24/2021
GreedyNASv2: Greedier Search with a Greedy Path Filter
Training a good supernet in one-shot NAS methods is difficult since the ...
research
∙
10/21/2021
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Deep convolutional neural networks are shown to be overkill with high pa...
research
∙
10/10/2021
Weakly Supervised Contrastive Learning
Unsupervised visual representation learning has gained much attention fr...
research
∙
09/13/2021
Correcting the User Feedback-Loop Bias for Recommendation Systems
Selection bias is prevalent in the data for training and evaluating reco...
research
∙
09/10/2021
Exophoric Pronoun Resolution in Dialogues with Topic Regularization
Resolving pronouns to their referents has long been studied as a fundame...
research
∙
08/19/2021
Fair and Consistent Federated Learning
Federated learning (FL) has gain growing interests for its capability of...
research
∙
08/18/2021
Learning to Collaborate
In this paper, we focus on effective learning over a collaborative resea...
research
∙
07/27/2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
In the classic setting of unsupervised domain adaptation (UDA), the labe...
research
∙
07/20/2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Self-supervised Learning (SSL) including the mainstream contrastive lear...
research
∙
06/25/2021
Vision Transformer Architecture Search
Recently, transformers have shown great superiority in solving computer ...
research
∙
06/11/2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In one-shot weight sharing for NAS, the weights of each operation (at ea...
research
∙
05/29/2021
The Definitions of Interpretability and Learning of Interpretable Models
As machine learning algorithms getting adopted in an ever-increasing num...
research
∙
05/21/2021
BCNet: Searching for Network Width with Bilaterally Coupled Network
Searching for a more compact network width recently serves as an effecti...
research
∙
03/25/2021
Recent Advances in Large Margin Learning
This paper serves as a survey of recent advances in large margin trainin...
research
∙
03/22/2021
Prioritized Architecture Sampling with Monto-Carlo Tree Search
One-shot neural architecture search (NAS) methods significantly reduce t...
research
∙
03/14/2021
Learning a Proposal Classifier for Multiple Object Tracking
The recent trend in multiple object tracking (MOT) is heading towards le...
research
∙
02/10/2021
Locally Free Weight Sharing for Network Width Search
Searching for network width is an effective way to slim deep neural netw...
research
∙
02/06/2021
Sill-Net: Feature Augmentation with Separated Illumination Representation
For visual object recognition tasks, the illumination variations can cau...
research
∙
11/18/2020
Explicitly Learning Topology for Differentiable Neural Architecture Search
Differentiable neural architecture search (DARTS) has gained much succes...
research
∙
11/17/2020
Extreme Value Preserving Networks
Recent evidence shows that convolutional neural networks (CNNs) are bias...
research
∙
10/28/2020
Data Agnostic Filter Gating for Efficient Deep Networks
To deploy a well-trained CNN model on low-end computation edge devices, ...
research
∙
10/26/2020
Learning Fast Approximations of Sparse Nonlinear Regression
The idea of unfolding iterative algorithms as deep neural networks has b...
research
∙
10/12/2020
Robust Finite Mixture Regression for Heterogeneous Targets
Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...
research
∙
09/06/2020
Learning from Very Few Samples: A Survey
Few sample learning (FSL) is significant and challenging in the field of...
research
∙
07/04/2020
On Connections between Regularizations for Improving DNN Robustness
This paper analyzes regularization terms proposed recently for improving...
research
∙
06/24/2020
Road Network Metric Learning for Estimated Time of Arrival
Recently, deep learning have achieved promising results in Estimated Tim...
research
∙
06/15/2020
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility
Algorithmic fairness has received lots of interests in machine learning ...
research
∙
06/07/2020
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
Estimated time of arrival (ETA) is one of the most important services in...
research
∙
06/07/2020
Fusion Recurrent Neural Network
Considering deep sequence learning for practical application, two repres...
research
∙
04/23/2020
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Traffic forecasting influences various intelligent transportation system...
research
∙
04/10/2020
Boosting Semantic Human Matting with Coarse Annotations
Semantic human matting aims to estimate the per-pixel opacity of the for...
research
∙
03/25/2020
GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Training a supernet matters for one-shot neural architecture search (NAS...
research
∙
02/08/2020
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
This paper presents a deep reinforcement learning algorithm for online a...
research
∙
11/14/2019
Adversarial Margin Maximization Networks
The tremendous recent success of deep neural networks (DNNs) has sparked...
research
∙
09/01/2019
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
Grounding a pronoun to a visual object it refers to requires complex rea...
research
∙
06/11/2019
