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Self-Supervised Learning

2959 directly classified papers

Papers per year

Papers

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation AAAI 2024
DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024
Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa EACL 2024
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning AAAI 2024
Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals AAAI 2024
Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision EACL 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention NIPS 2024
Intrinsic Self-Supervision for Data Quality Audits NIPS 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NIPS 2024
Towards efficient self-supervised representation learning in speech processing EACL 2024
A Theoretical Understanding of Self-Correction through In-context Alignment NIPS 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency AAAI 2024
SeqRank: Sequential Ranking of Salient Objects AAAI 2024
Explicit Visual Prompts for Visual Object Tracking AAAI 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NIPS 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NIPS 2024
Localizing Memorization in SSL Vision Encoders NIPS 2024
Self-Guided Masked Autoencoder NIPS 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion NIPS 2024