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08/21/2023
DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering
In this paper, we propose Docprompt for document question answering task...
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08/19/2023
Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Within the context of autonomous driving, encountering unknown objects b...
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08/09/2023
A New Family of Perfect Polyphase Sequences with Low Cross-Correlation
Spread spectrum multiple access systems demand minimum possible cross-co...
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08/01/2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
The advent of deep learning has brought a revolutionary transformation t...
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07/20/2023
Divide Bind Your Attention for Improved Generative Semantic Nursing
Emerging large-scale text-to-image generative models, e.g., Stable Diffu...
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07/02/2023
Intra- Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
The generalization with respect to domain shifts, as they frequently app...
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06/12/2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Large text-to-image diffusion models have impressive capabilities in gen...
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06/08/2023
Contrastive Representation Disentanglement for Clustering
Clustering continues to be a significant and challenging task. Recent st...
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06/05/2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Modern predictive models are often deployed to environments in which com...
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04/20/2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Large-scale pre-trained models have achieved remarkable success in a var...
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04/10/2023
High Dynamic Range Imaging with Context-aware Transformer
Avoiding the introduction of ghosts when synthesising LDR images as high...
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04/04/2023
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer
In recent years, the development of deep learning has been pushing image...
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04/04/2023
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network
Recent advances in deep learning have been pushing image denoising techn...
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03/23/2023
Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks
Data science workflows are human-centered processes involving on-demand ...
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03/09/2023
Identification of Systematic Errors of Image Classifiers on Rare Subgroups
Despite excellent average-case performance of many image classifiers, th...
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03/02/2023
Learning From Yourself: A Self-Distillation Method for Fake Speech Detection
In this paper, we propose a novel self-distillation method for fake spee...
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02/19/2023
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference
How humans infer discrete emotions is a fundamental research question in...
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01/09/2023
Towards Multifaceted Human-Centered AI
Human-centered AI workflows involve stakeholders with multiple roles int...
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01/08/2023
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
We present MEGAnno, a novel exploratory annotation framework designed fo...
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12/22/2022
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
We address the task of open-world class-agnostic object detection, i.e.,...
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11/29/2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration
Microprocessor architects are increasingly resorting to domain-specific ...
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11/02/2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Pre-trained multilingual language models play an important role in cross...
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10/18/2022
Intra-Source Style Augmentation for Improved Domain Generalization
The generalization with respect to domain shifts, as they frequently app...
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10/11/2022
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency
Semantic segmentation is a classic computer vision problem dedicated to ...
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10/04/2022
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning
Dataset discovery from data lakes is essential in many real application ...
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09/15/2022
One-Shot Synthesis of Images and Segmentation Masks
Joint synthesis of images and segmentation masks with generative adversa...
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08/23/2022
Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning
Automated detection of retinal structures, such as retinal vessels (RV),...
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07/26/2022
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States
Accurate prediction of roll motion in high sea state is significant for ...
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07/25/2022
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction
Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...
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05/14/2022
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
As a rising task, panoptic segmentation is faced with challenges in both...
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09/20/2021
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Emotion recognition plays a vital role in human-machine interactions and...
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05/26/2021
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators
The rapidly-changing deep learning landscape presents a unique opportuni...
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02/16/2021
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
Magnetic induction tomography (MIT) is an efficient solution for long-te...
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06/23/2020
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Post-hoc calibration is a common approach for providing high-quality con...
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06/18/2020
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
Deep generative networks trained via maximum likelihood on a natural ima...
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05/28/2020
Improving Generalized Zero-Shot Learning by Semantic Discriminator
It is a recognized fact that the classification accuracy of unseen class...
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12/16/2019
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
Uncertainty estimates help to identify ambiguous, novel, or anomalous in...
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11/14/2019
Sato: Contextual Semantic Type Detection in Tables
Detecting the semantic types of data columns in relational tables is imp...
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08/09/2019
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Deep neural networks achieve state-of-the-art results on several tasks w...
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06/17/2019
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine
POLSAR image has an advantage over optical image because it can be acqui...
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02/22/2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Predicting the potential relations between nodes in networks, known as l...
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01/29/2019
PA-GAN: Improving GAN Training by Progressive Augmentation
Training of Generative Adversarial Networks (GANs) is notoriously fragil...
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08/10/2018
Ektelo: A Framework for Defining Differentially-Private Computations
The adoption of differential privacy is growing but the complexity of de...
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08/05/2018
On the Fairness of Quality-based Data Markets
For data pricing, data quality is a factor that must be considered. To k...
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07/09/2018
Polarimetric Convolutional Network for PolSAR Image Classification
The approaches for analyzing the polarimetric scattering matrix of polar...
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12/20/2017
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning
Gastric cancer is the second leading cause of cancer-related deaths worl...
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12/23/2004