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self-supervised learning

3751 papers

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Also known as

SSL SELF-SL

Co-occurring keywords

representation learning (6174) contrastive learning (3979) transfer learning (5442) unsupervised learning (3255) graph neural network (3945) domain adaptation (4578) multimodal learning (4622) semantic segmentation (3179) depth estimation (1540) knowledge distillation (3680)

Papers

Rationale-based Learning Using Self-Supervised Narrative Events for Text Summarisation of Interactive Digital Narratives COLING 2024
Speech Recognition Corpus of the Khinalug Language for Documenting Endangered Languages COLING 2024
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context COLING 2024
Improving Language Model Reasoning with Self-motivated Learning COLING 2024
Self-supervised Transformation Learning for Equivariant Representations NIPS 2024
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs NAACL 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation EMNLP 2024
Evaluating Self-Supervised Speech Representations for Indigenous American Languages COLING 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering EMNLP 2024
Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems COLING 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024
Large Language Models Encode the Practice of Medicine NAACL 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NIPS 2024
LiBERTa: Advancing Ukrainian Language Modeling through Pre-training from Scratch COLING 2024
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training COLING 2024
Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models COLING 2024
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams NIPS 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio AISTATS 2024