Summary of Learning Object Semantic Similarity with Self-supervision, by Arthur Aubret et al.
Learning Object Semantic Similarity with Self-Supervisionby Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen TrieschFirst submitted…
Learning Object Semantic Similarity with Self-Supervisionby Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen TrieschFirst submitted…
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertaintyby Luca Mossina, Joseba Dalmau, Léo andéolFirst…
Is Transductive Learning Equivalent to PAC Learning?by Shaddin Dughmi, Yusuf Kalayci, Grayson YorkFirst submitted to…
Custom Gradient Estimators are Straight-Through Estimators in Disguiseby Matt Schoenbauer, Daniele Moro, Lukasz Lew, Andrew…
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformersby Yingyu Liang,…
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Trainingby Renjie Liu, Yichuan Wang,…
Selective Classification Under Distribution Shiftsby Hengyue Liang, Le Peng, Ju SunFirst submitted to arxiv on:…
BenthicNet: A global compilation of seafloor images for deep learning applicationsby Scott C. Lowe, Benjamin…
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Modelsby Hongjie Wang, Difan Liu, Yan Kang, Yijun Li,…
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Modelsby Prannay Kaul,…