Papers Task 2
“Task 2” 태그가 달린 논문 572편 · 필터 해제
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation
Improving automated analysis of medical imaging will provide clinicians more options in providing care for patients. The 2023 AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D) …
COVID-19 DiagnosisMedical Image AnalysisTask 2Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Class-incremental learning (CIL) aims to adapt to emerging new classes without forgetting old ones. Traditional CIL models are trained from scratch to continually acquire knowledge as data evolves. Recently, pre-training…
Allclass-incremental learningClass Incremental LearningIncremental Learning+1Real-Time Audio-Visual End-to-End Speech Enhancement
Audio-visual speech enhancement (AV-SE) methods utilize auxiliary visual cues to enhance speakers' voices. Therefore, technically they should be able to outperform the audio-only speech enhancement (SE) methods. However,…
CPUSpeech EnhancementTask 2Stylometric Detection of AI-Generated Text in Twitter Timelines
Recent advancements in pre-trained language models have enabled convenient methods for generating human-like text at a large scale. Though these generation capabilities hold great potential for breakthrough applications,…
Language ModellingMisinformationTask 2An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gammatone and Continuous Wavelet transformati…
Task 2First-shot anomaly sound detection for machine condition monitoring: A domain generalization baseline
This paper provides a baseline system for First-shot-compliant unsupervised anomaly detection (ASD) for machine condition monitoring. First-shot ASD does not allow systems to do machine-type dependent hyperparameter tuni…
Anomaly DetectionDomain GeneralizationTask 2Unsupervised Anomaly DetectionAction Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks
Given video demonstrations and paired narrations of an at-home procedural task such as changing a tire, we present an approach to extract the underlying task structure -- relevant actions and their temporal dependencies …
Task 2Learning Sample Relationship for Exposure Correction
Exposure correction task aims to correct the underexposure and its adverse overexposure images to the normal exposure in a single network. As well recognized, the optimization flow is opposite. Despite the great adva…
Exposure CorrectionTask 2CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding
Story generation and understanding -- as with all NLG/NLU tasks -- has seen a surge in neurosymbolic work. Researchers have recognized that, while large language models (LLMs) have tremendous utility, they can be augment…
Story GenerationTask 2MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Head and neck cancers are the fifth most common cancer worldwide, and recently, analysis of Positron Emission Tomography (PET) and Computed Tomography (CT) images has been proposed to identify patients with a prognosis. …
Computed Tomography (CT)Kidney FunctionPrognosisSegmentation+1Findings of the WMT 2022 Shared Task on Translation Suggestion
We report the result of the first edition of the WMT shared task on Translation Suggestion (TS). The task aims to provide alternatives for specific words or phrases given the entire documents generated by machine transla…
Machine TranslationTask 2TranslationCollecting Interactive Multi-modal Datasets for Grounded Language Understanding
Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by imitating the behavior of others or by f…
Task 2MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
Commonsense reasoning tasks such as commonsense knowledge graph completion and commonsense question answering require powerful representation learning. In this paper, we propose to learn commonsense knowledge representat…
Contrastive LearningKnowledge Graph CompletionKnowledge GraphsQuestion Answering+2Controlling Bias Exposure for Fair Interpretable Predictions
Recent work on reducing bias in NLP models usually focuses on protecting or isolating information related to a sensitive attribute (like gender or race). However, when sensitive information is semantically entangled with…
AttributeTask 2text-classificationText ClassificationThe Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)
The quality of cardiac magnetic resonance (CMR) imaging is susceptible to respiratory motion artifacts. The model robustness of automated segmentation techniques in face of real-world respiratory motion artifacts is uncl…
DiagnosticImage Quality AssessmentSegmentationTask 2CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm
Recently, the community has achieved substantial progress on many commonsense reasoning benchmarks. However, it is still unclear what is learned from the training process: the knowledge, inference capability, or both? We…
Question AnsweringTask 2Characterization of anomalous diffusion through convolutional transformers
The results of the Anomalous Diffusion Challenge (AnDi Challenge) have shown that machine learning methods can outperform classical statistical methodology at the characterization of anomalous diffusion in both the infer…
SentenceTask 2UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
This paper presents our strategy to address the SemEval-2022 Task 3 PreTENS: Presupposed Taxonomies Evaluating Neural Network Semantics. The goal of the task is to identify if a sentence is deemed acceptable or not, depe…
Binary ClassificationData AugmentationLanguage ModellingMulti-Task Learning+2Pipeline Coreference Resolution Model for Anaphoric Identity in Dialogues
CODI-CRAC 2022 Shared Task in Dialogues consists of three sub-tasks: Sub-task 1 is the resolution of anaphoric identity, sub-task 2 is the resolution of bridging references, and sub-task 3 is the resolution of discourse …
coreference-resolutionCoreference ResolutionTask 2yiriyou@SMM4H’22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks
The paper introduces the methodology proposed for the shared Task 2 of the Social Media Mining for Health Application (SMM4H) in 2022. Task 2 consists of two subtasks: Stance Detection and Premise Classification, named S…
Pseudo LabelStance DetectionTask 2