Research

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning	Aditya Khamparia, Subrato Bharati, Prajoy Podder	2020	arxiv 2003.13503
Navigating an Ocean of Video Data: Deep Learning for Humpback Whale Classification in YouTube Videos	Michelle Ramirez	2022	arxiv 2212.00822
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment	Chengting Yu, Xiaochen Zhao, Lei Liu	2025	arxiv 2501.15925
Perceptual Reality Transformer: Neural Architectures for Simulating Neurological Perception Conditions	Baihan Lin	2025	arxiv 2508.09852
Activated Gradients for Deep Neural Networks	Mei Liu, Liangming Chen, Xiaohao Du	2021	arxiv 2107.04228
Mitigating Memorization in Sample Selection for Learning with Noisy Labels	Kyeongbo Kong, Junggi Lee, Youngchul Kwak	2021	arxiv 2107.07041
Spectral Leakage and Rethinking the Kernel Size in CNNs	Nergis Tomen, Jan van Gemert	2021	arxiv 2101.10143
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders	Huimin Zeng, Jiahao Su, Furong Huang	2021	arxiv 2108.00491
Learning Generative Models of Textured 3D Meshes from Real-World Images	Dario Pavllo, Jonas Kohler, Thomas Hofmann	2021	arxiv 2103.15627
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution	Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber	2020	arxiv 2004.10484
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs	Vidhya Kamakshi, Uday Gupta, Narayanan C Krishnan	2021	arxiv 2108.13828
Less is more: Selecting informative and diverse subsets with balancing constraints	Srikumar Ramalingam, Daniel Glasner, Kaushal Patel	2021	arxiv 2104.12835
Constrained Mean Shift for Representation Learning	Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash	2021	arxiv 2110.10309
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data	Xuhui Jia, Kai Han, Yukun Zhu	2021	arxiv 2104.12673
Non-deep Networks	Ankit Goyal, Alexey Bochkovskiy, Jia Deng	2021	arxiv 2110.07641
Inverse Problems Leveraging Pre-trained Contrastive Representations	Sriram Ravula, Georgios Smyrnis, Matt Jordan	2021	arxiv 2110.07439
Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network	Tianshu Xie, Xuan Cheng, Minghui Liu	2021	arxiv 2103.05342
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective	Zhengzhuo Xu, Zenghao Chai, Chun Yuan	2021	arxiv 2111.03874
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion	Spencer A. Thomas	2021	arxiv 2111.14388
Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms	Chenglin Yang, Siyuan Qiao, Adam Kortylewski	2021	arxiv 2107.05637

Search results