Summary of Can Contrastive Learning Refine Embeddings, by Lihui Liu and Jinha Kim and Vidit Bansal
Can Contrastive Learning Refine Embeddingsby Lihui Liu, Jinha Kim, Vidit BansalFirst submitted to arxiv on:…
Can Contrastive Learning Refine Embeddingsby Lihui Liu, Jinha Kim, Vidit BansalFirst submitted to arxiv on:…
Differentiable Search for Finding Optimal Quantization Strategyby Lianqiang Li, Chenqian Yan, Yefei ChenFirst submitted to…
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Samplingby Sourajit Saha, Tejas…
Variational Stochastic Gradient Descent for Deep Neural Networksby Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub…
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Trainingby Ming-Kun Xie, Jia-Hao Xiao, Pei Peng,…
On the Convergence of Continual Learning with Adaptive Methodsby Seungyub Han, Yeongmo Kim, Taehyun Cho,…
Accurately Classifying Out-Of-Distribution Data in Facial Recognitionby Gianluca Barone, Aashrit Cunchala, Rudy NunezFirst submitted to…
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacksby Lei Zhang, Yuhang Zhou, Yi…
Semantic Augmentation in Images using Languageby Sahiti Yerramilli, Jayant Sravan Tamarapalli, Tanmay Girish Kulkarni, Jonathan…
ImageNot: A contrast with ImageNet preserves model rankingsby Olawale Salaudeen, Moritz HardtFirst submitted to arxiv…