Research

Papers for “imagenet”

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

Title	Authors	Year	Source
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization	Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu	2023	arxiv 2303.14189
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis	Minguk Kang, Joonghyuk Shin, Jaesik Park	2022	arxiv 2206.09479
DIME-FM: DIstilling Multimodal and Efficient Foundation Models	Ximeng Sun, Pengchuan Zhang, Peizhao Zhang	2023	arxiv 2303.18232
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage	Song Park, Sanghyuk Chun, Byeongho Heo	2023	arxiv 2303.11114
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment	Jiawei Du, Xin Zhang, Juncheng Hu	2024	arxiv 2409.17612
Cross-View Consistency Regularisation for Knowledge Distillation	Weijia Zhang, Dongnan Liu, Weidong Cai	2024	arxiv 2412.16493
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction	Guan-Hua Huang, Wan-Chen Lai, Tai-Been Chen	2024	arxiv 2410.23649
Random-Set Neural Networks (RS-NN)	Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang	2023	arxiv 2307.05772
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction	Siyu Jiao, Gengwei Zhang, Yinlong Qian	2025	arxiv 2502.20313
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios	Kai Wang, Zekai Li, Zhi-Qi Cheng	2024	arxiv 2410.17193
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods	Louis Thiry, Michael Arbel, Eugene Belilovsky	2021	arxiv 2101.07528
Learned Threshold Pruning	Kambiz Azarian, Yash Bhalgat, Jinwon Lee	2020	arxiv 2003.00075
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling	Dilin Wang, Meng Li, Chengyue Gong	2020	arxiv 2011.09011
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization	Tianlong Chen, Zhenyu Zhang, Xu Ouyang	2021	arxiv 2104.08215
In-Hindsight Quantization Range Estimation for Quantized Training	Marios Fournarakis, Markus Nagel	2021	arxiv 2105.04246
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms	Wei Lou, Lei Xun, Amin Sabet	2021	arxiv 2105.03596
BCNet: Searching for Network Width with Bilaterally Coupled Network	Xiu Su, Shan You, Fei Wang	2021	arxiv 2105.10533
Accelerating Neural Architecture Search via Proxy Data	Byunggook Na, Jisoo Mok, Hyeokjun Choe	2021	arxiv 2106.04784
Merged-GHCIDR: Geometrical Approach to Reduce Image Data	Devvrat Joshi, Janvi Thakkar, Siddharth Soni	2022	arxiv 2209.02609
Enhance the Visual Representation via Discrete Adversarial Training	Xiaofeng Mao, Yuefeng Chen, Ranjie Duan	2022	arxiv 2209.07735

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