Weakly Supervised Learning

A Preference-driven Paradigm for Enhanced Translation with Large Language Models NAACL 2024 Are You Serious? Handling Disagreement When Annotating Conspiracy Theory Texts EACL 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NeurIPS 2024 Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024 AUC Optimization from Multiple Unlabeled Datasets AAAI 2024 Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation MIDL 2024 Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision COLING 2024 AutoPSV: Automated Process-Supervised Verifier NeurIPS 2024 A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis EACL 2024 Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NeurIPS 2024 Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification WACV 2024 Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection NeurIPS 2024 Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities AAAI 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation ACL 2024 Boosting Single Positive Multi-label Classification with Generalized Robust Loss IJCAI 2024 Boosting Weakly Supervised Object Detection Using Fusion and Priors From Hallucinated Depth WACV 2024 Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension NeurIPS 2024 BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ACL 2024 BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation CVPR 2024 C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits EMNLP 2024 CABINET: Content Relevance-based Noise Reduction for Table Question Answering ICLR 2024 CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective CVPR 2024 CAMBranch: Contrastive Learning with Augmented MILPs for Branching ICLR 2024 CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification AAAI 2024