conftrace_
← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8,255 papers

Papers per year

Papers

FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations NAACL 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques NAACL 2024
NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection NAACL 2024
ROSHA at SemEval-2024 Task 9: BRAINTEASER A Novel Task Defying Common Sense NAACL 2024
MAMET at SemEval-2024 Task 7: Supervised Enhanced Reasoning Agent Model NAACL 2024
OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts NAACL 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection NAACL 2024
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models NAACL 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text NAACL 2024
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text NAACL 2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning RSS 2024
HRP: Human affordances for Robotic Pre-training RSS 2024
ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection RSS 2024
Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals RSS 2024
Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less SEMEVAL 2024
NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation SEMEVAL 2024
All-Mpnet at SemEval-2024 Task 1: Application of Mpnet for Evaluating Semantic Textual Relatedness SEMEVAL 2024
Werkzeug at SemEval-2024 Task 8: LLM-Generated Text Detection via Gated Mixture-of-Experts Fine-Tuning SEMEVAL 2024
YNU-HPCC at SemEval-2024 Task 1: Self-Instruction Learning with Black-box Optimization for Semantic Textual Relatedness SEMEVAL 2024
SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text SEMEVAL 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SEMEVAL 2024
Object-Centric Video Representation for Long-Term Action Anticipation WACV 2024
Improving Open-Set Semi-Supervised Learning With Self-Supervision WACV 2024
FOSSIL: Free Open-Vocabulary Semantic Segmentation Through Synthetic References Retrieval WACV 2024
Self-Supervised Edge Detection Reconstruction for Topology-Informed 3D Axon Segmentation and Centerline Detection WACV 2024