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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Self-supervised Debiasing Using Low Rank Regularization CVPR 2024
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching CVPR 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement EACL 2024
UNSEE: Unsupervised Non-contrastive Sentence Embeddings EACL 2024
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM EACL 2024
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024
Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations EACL 2024
Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning EACL 2024
Syntactic Preposing and Discourse Relations EACL 2024
Text-Guided Image Clustering EACL 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024
ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations EACL 2024
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues EACL 2024
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection EACL 2024
Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers EACL 2024
On the Intractability to Synthesize Factual Inconsistencies in Summarization EACL 2024
Autism Detection in Speech – A Survey EACL 2024
Jigsaw Pieces of Meaning: Modeling Discourse Coherence with Informed Negative Sample Synthesis EACL 2024
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models EACL 2024
Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024
Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa EACL 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens EACL 2024
Making a Long Story Short in Conversation Modeling EACL 2024