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Machine Learning
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Self-Supervised Learning
8,255 papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
Physics-Informed Graph Neural Networks for Water Distribution Systems
AAAI 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
AAAI 2024
Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation
AAAI 2024
IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context
AAAI 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
AAAI 2024
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
AAAI 2024
Regeneration Learning: A Learning Paradigm for Data Generation
AAAI 2024
Data-Efficient Graph Learning
AAAI 2024
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
AAAI 2024
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery
AAAI 2024
Making AI Policies Transparent to Humans through Demonstrations
AAAI 2024
Learning from an Infant’s Visual Experience
AAAI 2024
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
AAAI 2024
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)
AAAI 2024
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
AAAI 2024
Exploring Chain-of-Thought for Multi-modal Metaphor Detection
ACL 2024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
ACL 2024
SciMON: Scientific Inspiration Machines Optimized for Novelty
ACL 2024
Active Prompting with Chain-of-Thought for Large Language Models
ACL 2024
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
ACL 2024
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
ACL 2024
Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection
ACL 2024
Probing Language Models for Pre-training Data Detection
ACL 2024
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
ACL 2024
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
ACL 2024
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