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Weakly Supervised Learning

3,895 papers

Papers per year

Papers

MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation INTERSPEECH 2023
WhisperX: Time-Accurate Speech Transcription of Long-Form Audio INTERSPEECH 2023
Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism INTERSPEECH 2023
Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches INTERSPEECH 2023
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels JMLR 2023
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments JMLR 2023
Set-valued Classification with Out-of-distribution Detection for Many Classes JMLR 2023
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback L4DC 2023
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels MIDL 2023
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification MIDL 2023
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets RSS 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection RSS 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023
CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory RSS 2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SEMEVAL 2023
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement SEMEVAL 2023
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation SEMEVAL 2023
UMUTeam at SemEval-2023 Task 11: Ensemble Learning applied to Binary Supervised Classifiers with disagreements SEMEVAL 2023
xiacui at SemEval-2023 Task 11: Learning a Model in Mixed-Annotator Datasets Using Annotator Ranking Scores as Training Weights SEMEVAL 2023
Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait Spoiling SEMEVAL 2023
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction SEMEVAL 2023
HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction SEMEVAL 2023
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks SEMEVAL 2023
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks SEMEVAL 2023