Research
Papers for “imagenet”
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
Search results
| Title | Authors | Year | Source |
|---|---|---|---|
| AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks | Abhisek Kundu, Naveen K. Mellempudi, Dharma Teja Vooturi | 2023 | arxiv 2304.06941 |
| Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement | Hao Zhu, Piotr Koniusz | 2023 | arxiv 2304.11598 |
| FFCV: Accelerating Training by Removing Data Bottlenecks | Guillaume Leclerc, Andrew Ilyas, Logan Engstrom | 2023 | arxiv 2306.12517 |
| Denoising Diffusion Autoencoders are Unified Self-supervised Learners | Weilai Xiang, Hongyu Yang, Di Huang | 2023 | arxiv 2303.09769 |
| ACLS: Adaptive and Conditional Label Smoothing for Network Calibration | Hyekang Park, Jongyoun Noh, Youngmin Oh | 2023 | arxiv 2308.11911 |
| Semantically-Prompted Language Models Improve Visual Descriptions | Michael Ogezi, Bradley Hauer, Grzegorz Kondrak | 2023 | arxiv 2306.06077 |
| Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning | Mohammad Rostami, Atik Faysal, Huaxia Wang | 2024 | arxiv 2402.18599 |
| CompRess: Self-Supervised Learning by Compressing Representations | Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash | 2020 | arxiv 2010.14713 |
| Data Agnostic Filter Gating for Efficient Deep Networks | Xiu Su, Shan You, Tao Huang | 2020 | arxiv 2010.15041 |
| BasisNet: Two-stage Model Synthesis for Efficient Inference | Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov | 2021 | arxiv 2105.03014 |
| Clairvoyant Prefetching for Distributed Machine Learning I/O | Nikoli Dryden, Roman Böhringer, Tal Ben-Nun | 2021 | arxiv 2101.08734 |
| Denoising Diffusion Restoration Models | Bahjat Kawar, Michael Elad, Stefano Ermon | 2022 | arxiv 2201.11793 |
| Co-training $2^L$ Submodels for Visual Recognition | Hugo Touvron, Matthieu Cord, Maxime Oquab | 2022 | arxiv 2212.04884 |
| Deep Axial Hypercomplex Networks | Nazmul Shahadat, Anthony S. Maida | 2023 | arxiv 2301.04626 |
| Gramian Attention Heads are Strong yet Efficient Vision Learners | Jongbin Ryu, Dongyoon Han, Jongwoo Lim | 2023 | arxiv 2310.16483 |
| Uncertainty Sets for Image Classifiers using Conformal Prediction | Anastasios Angelopoulos, Stephen Bates, Jitendra Malik | 2020 | arxiv 2009.14193 |
| Locally Scale-Invariant Convolutional Neural Networks | Angjoo Kanazawa, Abhishek Sharma, David Jacobs | 2014 | arxiv 1412.5104 |
| Improved Techniques for Training GANs | Tim Salimans, Ian Goodfellow, Wojciech Zaremba | 2016 | arxiv 1606.03498 |
| Scaling the Scattering Transform: Deep Hybrid Networks | Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko | 2017 | arxiv 1703.08961 |
| Training Group Orthogonal Neural Networks with Privileged Information | Yunpeng Chen, Xiaojie Jin, Jiashi Feng | 2017 | arxiv 1701.06772 |