Research

Papers for “imagenet”

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

Title	Authors	Year	Source
A New Method to Visualize Deep Neural Networks	Luisa M. Zintgraf, Taco S. Cohen, Max Welling	2016	arxiv 1603.02518
ChainerMN: Scalable Distributed Deep Learning Framework	Takuya Akiba, Keisuke Fukuda, Shuji Suzuki	2017	arxiv 1710.11351
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples	Jake Zhao, Kyunghyun Cho	2018	arxiv 1802.09502
The Loss Kernel: A Geometric Probe for Deep Learning Interpretability	Maxwell Adam, Zach Furman, Jesse Hoogland	2025	arxiv 2509.26537
EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices	Shaibal Saha, Lanyu Xu	2025	arxiv 2506.11093
Adaptive Gradient Quantization for Data-Parallel SGD	Fartash Faghri, Iman Tabrizian, Ilia Markov	2020	arxiv 2010.12460
BlanketSet -- A clinical real-world in-bed action recognition and qualitative semi-synchronised MoCap dataset	João Carmona, Tamás Karácsony, João Paulo Silva Cunha	2022	arxiv 2210.03600
ViT-LCA: A Neuromorphic Approach for Vision Transformers	Sanaz Mahmoodi Takaghaj	2024	arxiv 2411.00140
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing	Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi	2023	arxiv 2309.16710
LookSharp: Attention Entropy Minimization for Test-Time Adaptation	Yash Mali, Evan Shelhamer	2025	arxiv 2511.18925
Conservative Flows: A New Paradigm of Generative Models	Eshed Gal, Md Shahriar Rahim Siddiqui, Moshe Eliasof	2026	arxiv 2605.06905
Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate	Huangyu Xu, Jingqin Yang, Qianqian Xu	2026	arxiv 2605.25134
DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation	Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul	2025	arxiv 2511.18421
Pruning by Active Attention Manipulation	Zahra Babaiee, Lucas Liebenwein, Ramin Hasani	2022	arxiv 2210.11114
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models	Sucheng Ren, Fangyun Wei, Zheng Zhang	2023	arxiv 2301.01296
RMM: Reinforced Memory Management for Class-Incremental Learning	Yaoyao Liu, Bernt Schiele, Qianru Sun	2023	arxiv 2301.05792
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification	Ali Ghanbarzade, Hossein Soleimani	2023	arxiv 2302.01793
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking	Chang Liu, Yinpeng Dong, Wenzhao Xiang	2023	arxiv 2302.14301
Advancing Spiking Neural Networks towards Deep Residual Learning	Yifan Hu, Lei Deng, Yujie Wu	2021	arxiv 2112.08954
Sharpness-aware Quantization for Deep Neural Networks	Jing Liu, Jianfei Cai, Bohan Zhuang	2021	arxiv 2111.12273

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