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Methodology
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Machine Learning
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Weakly Supervised Learning
3895 directly classified papers
Papers per year
2002: 5
2003: 3
2004: 3
2005: 1
2006: 7
2007: 8
2008: 7
2009: 13
2010: 20
2011: 7
2012: 11
2013: 43
2014: 35
2015: 66
2016: 74
2017: 133
2018: 194
2019: 388
2020: 388
2021: 566
2022: 469
2023: 588
2024: 435
2025: 350
2026: 81
Papers
MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation
IJCAI 2024
Weakly Supervised Few-Shot Object Detection with DETR
AAAI 2024
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
EACL 2024
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues
EACL 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
Towards Context-Based Violence Detection: A Korean Crime Dialogue Dataset
EACL 2024
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
EACL 2024
Mode Estimation with Partial Feedback
COLT 2024
Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data
CONLL 2024
Optimistic Rates for Learning from Label Proportions
COLT 2024
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
EACL 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts
NIPS 2024
Taming the Long Tail in Human Mobility Prediction
NIPS 2024
Towards Unbiased Exploration in Partial Label Learning
JMLR 2024
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
NIPS 2024
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
NIPS 2024
Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
NIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
NIPS 2024
UMB: Understanding Model Behavior for Open-World Object Detection
NIPS 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
NIPS 2024
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
CVPR 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NIPS 2024
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
CVPR 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
NIPS 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
NIPS 2024
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