← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection COLING 2024
BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models COLING 2024
LiBERTa: Advancing Ukrainian Language Modeling through Pre-training from Scratch COLING 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing NIPS 2024
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification COLING 2024
Time-Reversal Provides Unsupervised Feedback to LLMs NIPS 2024
STAGE: Simple Text Data Augmentation by Graph Exploration COLING 2024
Unified Generative and Discriminative Training for Multi-modal Large Language Models NIPS 2024
Deep Classifier Mimicry without Data Access AISTATS 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024
Mercury: A Code Efficiency Benchmark for Code Large Language Models NIPS 2024
Impact of Task Adapting on Transformer Models for Targeted Sentiment Analysis in Croatian Headlines COLING 2024
Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs COLING 2024
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification COLING 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning NIPS 2024
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets AISTATS 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NIPS 2024
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization COLING 2024
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024
HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning AISTATS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024