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Found 26 papers, 7 papers with code
New Threats against Object Detector with Non-local Block
The experiments show that the universal patches are able to mislead the detector with greater probabilities.
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking
Our findings are: the performance variance of generative DSTs is not only due to the model structure itself, but can be attributed to the distribution of cross-domain values.
AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
We show that AggPose outperforms hybrid model HRFormer and TokenPose in the infant pose estimation dataset.
Ranked #7 on
Keypoint Detection
on COCO
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient system responses.
Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems
Recently, Transformer based pretrained language models (PLMs), such as GPT2 and T5, have been leveraged to build generative task-oriented dialog (TOD) systems.
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
Image-to-image translation has broad applications in art, design, and scientific simulations.
Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
The BioCreative VII Track 3 challenge focused on the identification of medication names in Twitter user timelines.
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
This method shows advantages both in compression fidelity and ratio compared to traditional data compression methods, such as MGARD, SZ, and ZFP.
Transferable Adversarial Attack based on Integrated Gradients
The vulnerability of deep neural networks to adversarial examples has drawn tremendous attention from the community.
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
Here, we introduce the application of balancing loss functions for multi-label text classification.
Ranked #1 on
Multi-Label Text Classification
on Reuters-21578
Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
In this paper, we propose Variational Latent-State GPT model (VLS-GPT), which is the first to combine the strengths of the two approaches.
Metal-Insulator Transition in $n$-type bulk crystals and films of strongly compensated SrTiO$_3$
We try to explain this discrepancy in the framework of the theory of the percolation MIT in a strongly compensated semiconductor with the same $N=10^{19}$ cm$^{-3}$.
Materials Science
Learning to Check Contract Inconsistencies
This will result in the issue of contract inconsistencies, which may severely impair the legal validity of the contract.
XTQA: Span-Level Explanations of the Textbook Question Answering
Textbook Question Answering (TQA) is a task that one should answer a diagram/non-diagram question given a large multi-modal context consisting of abundant essays and diagrams.
Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning
In this paper, we propose a meta-learning based semi-supervised explicit dialogue state tracker (SEDST) for neural dialogue generation, denoted as MEDST.
A Semi-Blind Multiuser SIMO GFDM System in the Presence of CFOs and IQ Imbalances
A low-complexity semi-blind joint estimation scheme of multiple channels, CFOs and IQ imbalances is proposed.
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems
The state-of-the-art accuracy for DST is below 50{\%} for a multi-domain dialogue task.
PSF--NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
Assuming point spread functions induced by the atmospheric turbulence with the same profile belong to the same manifold space, we propose a non-parametric point spread function -- PSF-NET.
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data
(1) It can model longitudinal heterogeneous EHRs data via capturing the 3-order correlations of different modalities and the irregular temporal impact of historical events.
Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks
Large-scale trends in urban crime and global terrorism are well-predicted by socio-economic drivers, but focused, event-level predictions have had limited success.
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison
Recognizing subtle historical patterns is central to modeling and forecasting problems in time series analysis.
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features
Texture is one of the most obvious characteristics in solar images and it is normally described by texture features.
Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features
Next-generation ground-based solar observations require good image quality metrics for post-facto processing techniques.
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds
Inspired by recent interests of developing machine learning and data mining algorithms on hypergraphs, we investigate in this paper the semi-supervised learning algorithm of propagating "soft labels" (e. g. probability distributions, class membership scores) over hypergraphs, by means of optimal transportation.
A Tamper-Free Semi-Universal Communication System for Deletion Channels
We investigate the problem of reliable communication between two legitimate parties over deletion channels under an active eavesdropping (aka jamming) adversarial model.
Towards a New Science of a Clinical Data Intelligence
We argue that a science of a Clinical Data Intelligence is sensible in the context of a Big Data analysis, i. e., with data from many patients and with complete patient information.
