self-supervised learning

Quality Diversity for Visual Pre-Training ICCV 2023 Quantifying Character Similarity with Vision Transformers EMNLP 2023 Radiology Reports Improve Visual Representations Learned from Radiographs MIDL 2023 RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting Interspeech 2023 Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning ICCV 2023 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023 Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions WACV 2023 Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts EMNLP 2023 Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute Interspeech 2023 Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers IJCAI 2023 Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis NeurIPS 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 Remixing-based Unsupervised Source Separation from Scratch Interspeech 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 Representation Learning for Visual Object Tracking by Masked Appearance Transfer CVPR 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Representation Learning via Consistent Assignment of Views over Random Partitions NeurIPS 2023 Representation Recovering for Self-Supervised Pre-Training on Medical Images WACV 2023 Representation Uncertainty in Self-Supervised Learning as Variational Inference ICCV 2023 Rethinking Optical Flow From Geometric Matching Consistent Perspective CVPR 2023 Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation ICLR 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning ICLR 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NeurIPS 2023 Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning CVPR 2023 Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues ICML 2023