Research

Papers for “imagenet”

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

Title	Authors	Year	Source
Training Group Orthogonal Neural Networks with Privileged Information	Yunpeng Chen, Xiaojie Jin, Jiashi Feng	2017	arxiv 1701.06772
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions	Scott Reed, Yutian Chen, Thomas Paine	2017	arxiv 1710.10304
Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning	Amith R Mamidala	2018	arxiv 1802.06949
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration	Huan Wang, Qiming Zhang, Yuehai Wang	2017	arxiv 1709.06994
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks	Karanbir Chahal, Manraj Singh Grover, Kuntal Dey	2018	arxiv 1810.11787
Self-supervised Pretraining of Visual Features in the Wild	Priya Goyal, Mathilde Caron, Benjamin Lefaudeux	2021	arxiv 2103.01988
Mnemonics Training: Multi-Class Incremental Learning without Forgetting	Yaoyao Liu, Yuting Su, An-An Liu	2020	arxiv 2002.10211
Scene Image Representation by Foreground, Background and Hybrid Features	Chiranjibi Sitaula, Yong Xiang, Sunil Aryal	2020	arxiv 2006.03199
Emerging Properties in Self-Supervised Vision Transformers	Mathilde Caron, Hugo Touvron, Ishan Misra	2021	arxiv 2104.14294
Revisiting Mixout: An Overlooked Path to Robust Finetuning	Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger	2025	arxiv 2510.06982
On the Generalizability of Foundation Models for Crop Type Mapping	Yi-Chia Chang, Adam J. Stewart, Favyen Bastani	2024	arxiv 2409.09451
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models	Shiho Noda, Atsuyuki Miyai, Qing Yu	2025	arxiv 2501.18463
Terminal Velocity Matching	Linqi Zhou, Mathias Parger, Ayaan Haque	2025	arxiv 2511.19797
UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations	Yuzhen Hu, Saurabh Prasad	2025	arxiv 2512.00261
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations	Tristan Sylvain, Linda Petrini, R Devon Hjelm	2020	arxiv 2010.13320
Interventional Few-Shot Learning	Zhongqi Yue, Hanwang Zhang, Qianru Sun	2020	arxiv 2009.13000
Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation	Zhuoyan Luo, Fengyuan Shi, Yixiao Ge	2024	arxiv 2409.04410
Koo-Fu CLIP: Closed-Form Adaptation of Vision-Language Models via Fukunaga-Koontz Linear Discriminant Analysis	Matej Suchanek, Klara Janouskova, Ondrej Vasatko	2026	arxiv 2602.01127
On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks	Sumit Yadav	2026	arxiv 2602.00130
Distance Marching for Generative Modeling	Zimo Wang, Ishit Mehta, Haolin Lu	2026	arxiv 2602.02928

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